diff --git a/.github/workflows/productionize.yml b/.github/workflows/productionize.yml
index ec90164..f92a6c5 100644
--- a/.github/workflows/productionize.yml
+++ b/.github/workflows/productionize.yml
@@ -344,7 +344,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
@@ -518,7 +517,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
@@ -698,7 +696,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 3eec50e..ad3a3e0 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -218,7 +218,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 22868e6..d1b0546 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -95,6 +95,5 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
diff --git a/.github/workflows/test_bundles.yml b/.github/workflows/test_bundles.yml
index 6d77abd..5b5879a 100644
--- a/.github/workflows/test_bundles.yml
+++ b/.github/workflows/test_bundles.yml
@@ -94,7 +94,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
@@ -139,7 +138,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
@@ -184,6 +182,5 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
diff --git a/.github/workflows/test_coverage.yml b/.github/workflows/test_coverage.yml
index f4eda1e..2bcf0cd 100644
--- a/.github/workflows/test_coverage.yml
+++ b/.github/workflows/test_coverage.yml
@@ -119,7 +119,6 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
 
diff --git a/.github/workflows/test_install.yml b/.github/workflows/test_install.yml
index c7141a3..f8a6a58 100644
--- a/.github/workflows/test_install.yml
+++ b/.github/workflows/test_install.yml
@@ -81,6 +81,5 @@ jobs:
         uses: 8398a7/action-slack@28ba43ae48961b90635b50953d216767a6bea486 # v3.16.2
         with:
           status: ${{ job.status }}
-          steps: ${{ toJson(steps) }}
           channel: '#npm-ci'
         if: failure()
diff --git a/README.md b/README.md
index 0da9c06..2a38058 100644
--- a/README.md
+++ b/README.md
@@ -89,16 +89,14 @@ The function has the following parameters:
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
 -   **stride**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the sum of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsnansumors( N, x, 2 );
+var v = dsnansumors( 4, x, 2 );
 // returns 5.0
 ```
 
@@ -108,14 +106,11 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dsnansumors( N, x1, 2 );
+var v = dsnansumors( 4, x1, 2 );
 // returns 5.0
 ```
 
@@ -127,9 +122,8 @@ Computes the sum of single-precision floating-point strided array elements, igno
 var Float32Array = require( '@stdlib/array-float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = dsnansumors.ndarray( N, x, 1, 0 );
+var v = dsnansumors.ndarray( 4, x, 1, 0 );
 // returns 1.0
 ```
 
@@ -137,16 +131,14 @@ The function has the following additional parameters:
 
 -   **offset**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other value in `x` starting from the second value
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsnansumors.ndarray( N, x, 2, 1 );
+var v = dsnansumors.ndarray( 4, x, 2, 1 );
 // returns 5.0
 ```
 
@@ -172,22 +164,19 @@ var v = dsnansumors.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random-base-randu' );
-var round = require( '@stdlib/math-base-special-round' );
-var Float32Array = require( '@stdlib/array-float32' );
+var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( randu()*100.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) > 0 ) {
+        return NaN;
     }
+    return discreteUniform( 0, 100 );
 }
+
+var x = filledarrayBy( 10, 'float32', rand );
 console.log( x );
 
 var v = dsnansumors( x.length, x, 1 );
diff --git a/benchmark/benchmark.js b/benchmark/benchmark.js
index d4cad7e..259e76b 100644
--- a/benchmark/benchmark.js
+++ b/benchmark/benchmark.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var pkg = require( './../package.json' ).name;
 var dsnansumors = require( './../lib/dsnansumors.js' );
 
@@ -39,18 +40,15 @@ var dsnansumors = require( './../lib/dsnansumors.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return NaN;
 		}
+		return uniform( -10, 10 );
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;
diff --git a/benchmark/benchmark.native.js b/benchmark/benchmark.native.js
index a47df1d..767c8aa 100644
--- a/benchmark/benchmark.native.js
+++ b/benchmark/benchmark.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return NaN;
 		}
+		return uniform( -10, 10 );
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;
diff --git a/benchmark/benchmark.ndarray.js b/benchmark/benchmark.ndarray.js
index 52f8691..75923fc 100644
--- a/benchmark/benchmark.ndarray.js
+++ b/benchmark/benchmark.ndarray.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var pkg = require( './../package.json' ).name;
 var dsnansumors = require( './../lib/ndarray.js' );
 
@@ -39,18 +40,15 @@ var dsnansumors = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return NaN;
 		}
+		return uniform( -10, 10 );
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;
diff --git a/benchmark/benchmark.ndarray.native.js b/benchmark/benchmark.ndarray.native.js
index 2864f85..6e95948 100644
--- a/benchmark/benchmark.ndarray.native.js
+++ b/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench-harness' );
-var randu = require( '@stdlib/random-base-randu' );
+var uniform = require( '@stdlib/random-base-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
 var pow = require( '@stdlib/math-base-special-pow' );
-var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float32', rand );
+	return benchmark;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return NaN;
 		}
+		return uniform( -10, 10 );
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;
diff --git a/dist/index.js.map b/dist/index.js.map
index 0dd203e..94e2ab2 100644
--- a/dist/index.js.map
+++ b/dist/index.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
   "sources": ["../lib/dsnansumors.js", "../lib/ndarray.js", "../lib/main.js", "../lib/index.js"],
-  "sourcesContent": ["/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar isnan = require( '@stdlib/math-base-assert-is-nan' );\n\n\n// MAIN //\n\n/**\n* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @param {PositiveInteger} N - number of indexed elements\n* @param {Float32Array} x - input array\n* @param {integer} stride - stride length\n* @returns {number} sum\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n*\n* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\n* var N = x.length;\n*\n* var v = dsnansumors( N, x, 1 );\n* // returns 1.0\n*/\nfunction dsnansumors( N, x, stride ) {\n\tvar sum;\n\tvar ix;\n\tvar i;\n\n\tsum = 0.0;\n\tif ( N <= 0 ) {\n\t\treturn sum;\n\t}\n\tif ( N === 1 || stride === 0 ) {\n\t\tif ( isnan( x[ 0 ] ) ) {\n\t\t\treturn sum;\n\t\t}\n\t\treturn x[ 0 ];\n\t}\n\tif ( stride < 0 ) {\n\t\tix = (1-N) * stride;\n\t} else {\n\t\tix = 0;\n\t}\n\tfor ( i = 0; i < N; i++ ) {\n\t\tif ( isnan( x[ ix ] ) === false ) {\n\t\t\tsum += x[ ix ];\n\t\t}\n\t\tix += stride;\n\t}\n\treturn sum;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar isnan = require( '@stdlib/math-base-assert-is-nan' );\n\n\n// MAIN //\n\n/**\n* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @param {PositiveInteger} N - number of indexed elements\n* @param {Float32Array} x - input array\n* @param {integer} stride - stride length\n* @param {NonNegativeInteger} offset - starting index\n* @returns {number} sum\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n* var floor = require( '@stdlib/math-base-special-floor' );\n*\n* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );\n* var N = floor( x.length / 2 );\n*\n* var v = dsnansumors( N, x, 2, 1 );\n* // returns 5.0\n*/\nfunction dsnansumors( N, x, stride, offset ) {\n\tvar sum;\n\tvar ix;\n\tvar i;\n\n\tsum = 0.0;\n\tif ( N <= 0 ) {\n\t\treturn sum;\n\t}\n\tif ( N === 1 || stride === 0 ) {\n\t\tif ( isnan( x[ offset ] ) ) {\n\t\t\treturn sum;\n\t\t}\n\t\treturn x[ offset ];\n\t}\n\tix = offset;\n\tfor ( i = 0; i < N; i++ ) {\n\t\tif ( isnan( x[ ix ] ) === false ) {\n\t\t\tsum += x[ ix ];\n\t\t}\n\t\tix += stride;\n\t}\n\treturn sum;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar setReadOnly = require( '@stdlib/utils-define-nonenumerable-read-only-property' );\nvar dsnansumors = require( './dsnansumors.js' );\nvar ndarray = require( './ndarray.js' );\n\n\n// MAIN //\n\nsetReadOnly( dsnansumors, 'ndarray', ndarray );\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n/**\n* Compute the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @module @stdlib/blas-ext-base-dsnansumors\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n* var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );\n*\n* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\n* var N = x.length;\n*\n* var v = dsnansumors( N, x, 1 );\n* // returns 1.0\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n* var floor = require( '@stdlib/math-base-special-floor' );\n* var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );\n*\n* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );\n* var N = floor( x.length / 2 );\n*\n* var v = dsnansumors.ndarray( N, x, 2, 1 );\n* // returns 5.0\n*/\n\n// MODULES //\n\nvar join = require( 'path' ).join;\nvar tryRequire = require( '@stdlib/utils-try-require' );\nvar isError = require( '@stdlib/assert-is-error' );\nvar main = require( './main.js' );\n\n\n// MAIN //\n\nvar dsnansumors;\nvar tmp = tryRequire( join( __dirname, './native.js' ) );\nif ( isError( tmp ) ) {\n\tdsnansumors = main;\n} else {\n\tdsnansumors = tmp;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n\n// exports: { \"ndarray\": \"dsnansumors.ndarray\" }\n"],
-  "mappings": "uGAAA,IAAAA,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAQ,QAAS,iCAAkC,EAsBvD,SAASC,EAAaC,EAAGC,EAAGC,EAAS,CACpC,IAAIC,EACAC,EACAC,EAGJ,GADAF,EAAM,EACDH,GAAK,EACT,OAAOG,EAER,GAAKH,IAAM,GAAKE,IAAW,EAC1B,OAAKJ,EAAOG,EAAG,CAAE,CAAE,EACXE,EAEDF,EAAG,CAAE,EAOb,IALKC,EAAS,EACbE,GAAM,EAAEJ,GAAKE,EAEbE,EAAK,EAEAC,EAAI,EAAGA,EAAIL,EAAGK,IACdP,EAAOG,EAAGG,CAAG,CAAE,IAAM,KACzBD,GAAOF,EAAGG,CAAG,GAEdA,GAAMF,EAEP,OAAOC,CACR,CAKAN,EAAO,QAAUE,IC5EjB,IAAAO,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAQ,QAAS,iCAAkC,EAwBvD,SAASC,EAAaC,EAAGC,EAAGC,EAAQC,EAAS,CAC5C,IAAIC,EACAC,EACAC,EAGJ,GADAF,EAAM,EACDJ,GAAK,EACT,OAAOI,EAER,GAAKJ,IAAM,GAAKE,IAAW,EAC1B,OAAKJ,EAAOG,EAAGE,CAAO,CAAE,EAChBC,EAEDH,EAAGE,CAAO,EAGlB,IADAE,EAAKF,EACCG,EAAI,EAAGA,EAAIN,EAAGM,IACdR,EAAOG,EAAGI,CAAG,CAAE,IAAM,KACzBD,GAAOH,EAAGI,CAAG,GAEdA,GAAMH,EAEP,OAAOE,CACR,CAKAP,EAAO,QAAUE,IC1EjB,IAAAQ,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAc,QAAS,uDAAwD,EAC/EC,EAAc,IACdC,EAAU,IAKdF,EAAaC,EAAa,UAAWC,CAAQ,EAK7CH,EAAO,QAAUE,ICejB,IAAIE,EAAO,QAAS,MAAO,EAAE,KACzBC,EAAa,QAAS,2BAA4B,EAClDC,EAAU,QAAS,yBAA0B,EAC7CC,EAAO,IAKPC,EACAC,EAAMJ,EAAYD,EAAM,UAAW,aAAc,CAAE,EAClDE,EAASG,CAAI,EACjBD,EAAcD,EAEdC,EAAcC,EAMf,OAAO,QAAUD",
+  "sourcesContent": ["/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar isnan = require( '@stdlib/math-base-assert-is-nan' );\n\n\n// MAIN //\n\n/**\n* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @param {PositiveInteger} N - number of indexed elements\n* @param {Float32Array} x - input array\n* @param {integer} stride - stride length\n* @returns {number} sum\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n*\n* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\n* var N = x.length;\n*\n* var v = dsnansumors( N, x, 1 );\n* // returns 1.0\n*/\nfunction dsnansumors( N, x, stride ) {\n\tvar sum;\n\tvar ix;\n\tvar i;\n\n\tsum = 0.0;\n\tif ( N <= 0 ) {\n\t\treturn sum;\n\t}\n\tif ( N === 1 || stride === 0 ) {\n\t\tif ( isnan( x[ 0 ] ) ) {\n\t\t\treturn sum;\n\t\t}\n\t\treturn x[ 0 ];\n\t}\n\tif ( stride < 0 ) {\n\t\tix = (1-N) * stride;\n\t} else {\n\t\tix = 0;\n\t}\n\tfor ( i = 0; i < N; i++ ) {\n\t\tif ( isnan( x[ ix ] ) === false ) {\n\t\t\tsum += x[ ix ];\n\t\t}\n\t\tix += stride;\n\t}\n\treturn sum;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar isnan = require( '@stdlib/math-base-assert-is-nan' );\n\n\n// MAIN //\n\n/**\n* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @param {PositiveInteger} N - number of indexed elements\n* @param {Float32Array} x - input array\n* @param {integer} stride - stride length\n* @param {NonNegativeInteger} offset - starting index\n* @returns {number} sum\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n*\n* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );\n*\n* var v = dsnansumors( 5, x, 2, 1 );\n* // returns 5.0\n*/\nfunction dsnansumors( N, x, stride, offset ) {\n\tvar sum;\n\tvar ix;\n\tvar i;\n\n\tsum = 0.0;\n\tif ( N <= 0 ) {\n\t\treturn sum;\n\t}\n\tif ( N === 1 || stride === 0 ) {\n\t\tif ( isnan( x[ offset ] ) ) {\n\t\t\treturn sum;\n\t\t}\n\t\treturn x[ offset ];\n\t}\n\tix = offset;\n\tfor ( i = 0; i < N; i++ ) {\n\t\tif ( isnan( x[ ix ] ) === false ) {\n\t\t\tsum += x[ ix ];\n\t\t}\n\t\tix += stride;\n\t}\n\treturn sum;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n// MODULES //\n\nvar setReadOnly = require( '@stdlib/utils-define-nonenumerable-read-only-property' );\nvar dsnansumors = require( './dsnansumors.js' );\nvar ndarray = require( './ndarray.js' );\n\n\n// MAIN //\n\nsetReadOnly( dsnansumors, 'ndarray', ndarray );\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n", "/**\n* @license Apache-2.0\n*\n* Copyright (c) 2020 The Stdlib Authors.\n*\n* Licensed under the Apache License, Version 2.0 (the \"License\");\n* you may not use this file except in compliance with the License.\n* You may obtain a copy of the License at\n*\n*    http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing, software\n* distributed under the License is distributed on an \"AS IS\" BASIS,\n* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n* See the License for the specific language governing permissions and\n* limitations under the License.\n*/\n\n'use strict';\n\n/**\n* Compute the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.\n*\n* @module @stdlib/blas-ext-base-dsnansumors\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n* var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );\n*\n* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\n* var N = x.length;\n*\n* var v = dsnansumors( N, x, 1 );\n* // returns 1.0\n*\n* @example\n* var Float32Array = require( '@stdlib/array-float32' );\n* var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );\n*\n* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );\n*\n* var v = dsnansumors.ndarray( 5, x, 2, 1 );\n* // returns 5.0\n*/\n\n// MODULES //\n\nvar join = require( 'path' ).join;\nvar tryRequire = require( '@stdlib/utils-try-require' );\nvar isError = require( '@stdlib/assert-is-error' );\nvar main = require( './main.js' );\n\n\n// MAIN //\n\nvar dsnansumors;\nvar tmp = tryRequire( join( __dirname, './native.js' ) );\nif ( isError( tmp ) ) {\n\tdsnansumors = main;\n} else {\n\tdsnansumors = tmp;\n}\n\n\n// EXPORTS //\n\nmodule.exports = dsnansumors;\n\n// exports: { \"ndarray\": \"dsnansumors.ndarray\" }\n"],
+  "mappings": "uGAAA,IAAAA,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAQ,QAAS,iCAAkC,EAsBvD,SAASC,EAAaC,EAAGC,EAAGC,EAAS,CACpC,IAAIC,EACAC,EACAC,EAGJ,GADAF,EAAM,EACDH,GAAK,EACT,OAAOG,EAER,GAAKH,IAAM,GAAKE,IAAW,EAC1B,OAAKJ,EAAOG,EAAG,CAAE,CAAE,EACXE,EAEDF,EAAG,CAAE,EAOb,IALKC,EAAS,EACbE,GAAM,EAAEJ,GAAKE,EAEbE,EAAK,EAEAC,EAAI,EAAGA,EAAIL,EAAGK,IACdP,EAAOG,EAAGG,CAAG,CAAE,IAAM,KACzBD,GAAOF,EAAGG,CAAG,GAEdA,GAAMF,EAEP,OAAOC,CACR,CAKAN,EAAO,QAAUE,IC5EjB,IAAAO,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAQ,QAAS,iCAAkC,EAsBvD,SAASC,EAAaC,EAAGC,EAAGC,EAAQC,EAAS,CAC5C,IAAIC,EACAC,EACAC,EAGJ,GADAF,EAAM,EACDJ,GAAK,EACT,OAAOI,EAER,GAAKJ,IAAM,GAAKE,IAAW,EAC1B,OAAKJ,EAAOG,EAAGE,CAAO,CAAE,EAChBC,EAEDH,EAAGE,CAAO,EAGlB,IADAE,EAAKF,EACCG,EAAI,EAAGA,EAAIN,EAAGM,IACdR,EAAOG,EAAGI,CAAG,CAAE,IAAM,KACzBD,GAAOH,EAAGI,CAAG,GAEdA,GAAMH,EAEP,OAAOE,CACR,CAKAP,EAAO,QAAUE,ICxEjB,IAAAQ,EAAAC,EAAA,SAAAC,EAAAC,EAAA,cAsBA,IAAIC,EAAc,QAAS,uDAAwD,EAC/EC,EAAc,IACdC,EAAU,IAKdF,EAAaC,EAAa,UAAWC,CAAQ,EAK7CH,EAAO,QAAUE,ICajB,IAAIE,EAAO,QAAS,MAAO,EAAE,KACzBC,EAAa,QAAS,2BAA4B,EAClDC,EAAU,QAAS,yBAA0B,EAC7CC,EAAO,IAKPC,EACAC,EAAMJ,EAAYD,EAAM,UAAW,aAAc,CAAE,EAClDE,EAASG,CAAI,EACjBD,EAAcD,EAEdC,EAAcC,EAMf,OAAO,QAAUD",
   "names": ["require_dsnansumors", "__commonJSMin", "exports", "module", "isnan", "dsnansumors", "N", "x", "stride", "sum", "ix", "i", "require_ndarray", "__commonJSMin", "exports", "module", "isnan", "dsnansumors", "N", "x", "stride", "offset", "sum", "ix", "i", "require_main", "__commonJSMin", "exports", "module", "setReadOnly", "dsnansumors", "ndarray", "join", "tryRequire", "isError", "main", "dsnansumors", "tmp"]
 }
diff --git a/examples/index.js b/examples/index.js
index 49da903..cf55192 100644
--- a/examples/index.js
+++ b/examples/index.js
@@ -18,22 +18,19 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random-base-randu' );
-var round = require( '@stdlib/math-base-special-round' );
-var Float32Array = require( '@stdlib/array-float32' );
+var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
+var bernoulli = require( '@stdlib/random-base-bernoulli' );
+var filledarrayBy = require( '@stdlib/array-filled-by' );
 var dsnansumors = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( randu()*100.0 );
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return NaN;
 	}
+	return discreteUniform( 0, 100 );
 }
+
+var x = filledarrayBy( 10, 'float32', rand );
 console.log( x );
 
 var v = dsnansumors( x.length, x, 1 );
diff --git a/include.gypi b/include.gypi
index 2fa318f..9212937 100644
--- a/include.gypi
+++ b/include.gypi
@@ -36,7 +36,7 @@
 
     # Source files:
     'src_files': [
-      '<(src_dir)/addon.cpp',
+      '<(src_dir)/addon.c',
       '<!@(node -e "var arr = require(\'@stdlib/utils-library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],
 
diff --git a/lib/index.js b/lib/index.js
index 8985b3b..55077ae 100644
--- a/lib/index.js
+++ b/lib/index.js
@@ -35,13 +35,11 @@
 *
 * @example
 * var Float32Array = require( '@stdlib/array-float32' );
-* var floor = require( '@stdlib/math-base-special-floor' );
 * var dsnansumors = require( '@stdlib/blas-ext-base-dsnansumors' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsnansumors.ndarray( N, x, 2, 1 );
+* var v = dsnansumors.ndarray( 5, x, 2, 1 );
 * // returns 5.0
 */
 
diff --git a/lib/ndarray.js b/lib/ndarray.js
index 0367a6f..6489a8c 100644
--- a/lib/ndarray.js
+++ b/lib/ndarray.js
@@ -36,12 +36,10 @@ var isnan = require( '@stdlib/math-base-assert-is-nan' );
 *
 * @example
 * var Float32Array = require( '@stdlib/array-float32' );
-* var floor = require( '@stdlib/math-base-special-floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsnansumors( N, x, 2, 1 );
+* var v = dsnansumors( 5, x, 2, 1 );
 * // returns 5.0
 */
 function dsnansumors( N, x, stride, offset ) {
diff --git a/lib/ndarray.native.js b/lib/ndarray.native.js
index 284fff7..34574ea 100644
--- a/lib/ndarray.native.js
+++ b/lib/ndarray.native.js
@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var Float32Array = require( '@stdlib/array-float32' );
+var minViewBufferIndex = require( '@stdlib/strided-base-min-view-buffer-index' );
+var offsetView = require( '@stdlib/strided-base-offset-view' );
 var addon = require( './dsnansumors.native.js' );
 
 
@@ -37,20 +38,16 @@ var addon = require( './dsnansumors.native.js' );
 *
 * @example
 * var Float32Array = require( '@stdlib/array-float32' );
-* var floor = require( '@stdlib/math-base-special-floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsnansumors( N, x, 2, 1 );
+* var v = dsnansumors( 5, x, 2, 1 );
 * // returns 5.0
 */
 function dsnansumors( N, x, stride, offset ) {
 	var view;
-	if ( stride < 0 ) {
-		offset += (N-1) * stride;
-	}
-	view = new Float32Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
+	offset = minViewBufferIndex( N, stride, offset );
+	view = offsetView( x, offset );
 	return addon( N, view, stride );
 }
 
diff --git a/manifest.json b/manifest.json
index c8b9197..49f6c10 100644
--- a/manifest.json
+++ b/manifest.json
@@ -1,6 +1,8 @@
 {
-	"options": {},
-	"fields": [
+  "options": {
+    "task": "build"
+  },
+  "fields": [
 		{
 			"field": "src",
 			"resolve": true,
@@ -21,22 +23,59 @@
 			"resolve": true,
 			"relative": false
 		}
-	],
-	"confs": [
-		{
-			"src": [
-				"./src/dsnansumors.c"
-			],
-			"include": [
-				"./include"
-			],
-			"libraries": [
-				"-lm"
-			],
-			"libpath": [],
-			"dependencies": [
-				"@stdlib/math-base-assert-is-nanf"
-			]
-		}
-	]
+  ],
+  "confs": [
+    {
+      "task": "build",
+      "src": [
+        "./src/dsnansumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/napi-export",
+        "@stdlib/napi-argv",
+        "@stdlib/napi-argv-int64",
+        "@stdlib/napi-argv-strided-float32array",
+        "@stdlib/math-base-assert-is-nanf"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "src": [
+        "./src/dsnansumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math-base-assert-is-nanf"
+      ]
+    },
+    {
+      "task": "examples",
+      "src": [
+        "./src/dsnansumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math-base-assert-is-nanf"
+      ]
+    }
+  ]
 }
diff --git a/package.json b/package.json
index 3397460..8c60785 100644
--- a/package.json
+++ b/package.json
@@ -44,17 +44,24 @@
     "@stdlib/assert-is-error": "^0.2.1",
     "@stdlib/math-base-assert-is-nan": "^0.2.1",
     "@stdlib/math-base-assert-is-nanf": "^0.2.1",
+    "@stdlib/napi-argv": "^0.2.1",
+    "@stdlib/napi-argv-int64": "^0.2.1",
+    "@stdlib/napi-argv-strided-float32array": "^0.2.1",
+    "@stdlib/napi-export": "^0.2.1",
     "@stdlib/utils-define-nonenumerable-read-only-property": "^0.2.1",
     "@stdlib/utils-library-manifest": "^0.2.1",
     "@stdlib/utils-try-require": "^0.2.1"
   },
   "devDependencies": {
+    "@stdlib/array-filled-by": "^0.2.1",
     "@stdlib/array-float32": "^0.2.1",
     "@stdlib/assert-is-browser": "^0.2.1",
-    "@stdlib/math-base-special-floor": "^0.2.2",
     "@stdlib/math-base-special-pow": "^0.2.1",
-    "@stdlib/math-base-special-round": "^0.2.1",
-    "@stdlib/random-base-randu": "^0.2.1",
+    "@stdlib/random-base-bernoulli": "^0.2.1",
+    "@stdlib/random-base-discrete-uniform": "^0.2.1",
+    "@stdlib/random-base-uniform": "^0.2.1",
+    "@stdlib/strided-base-min-view-buffer-index": "^0.2.1",
+    "@stdlib/strided-base-offset-view": "^0.2.1",
     "proxyquire": "^2.0.0",
     "tape": "git+https://github.com/kgryte/tape.git#fix/globby",
     "istanbul": "^0.4.1",
diff --git a/src/addon.c b/src/addon.c
new file mode 100644
index 0000000..602cb19
--- /dev/null
+++ b/src/addon.c
@@ -0,0 +1,48 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2018 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/blas/ext/base/dsnansumors.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float32array.h"
+#include <node_api.h>
+#include <assert.h>
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @private
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @return       Node-API value
+*/
+static napi_value addon( napi_env env, napi_callback_info info ) {
+	STDLIB_NAPI_ARGV( env, info, argv, argc, 3 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+
+	napi_value v;
+	napi_status status = napi_create_double( env, stdlib_strided_dsnansumors( N, X, strideX ), &v );
+	assert( status == napi_ok );
+
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
\ No newline at end of file
diff --git a/src/addon.cpp b/src/addon.cpp
deleted file mode 100644
index 5085410..0000000
--- a/src/addon.cpp
+++ /dev/null
@@ -1,117 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2020 The Stdlib Authors.
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-*    http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-#include "stdlib/blas/ext/base/dsnansumors.h"
-#include <node_api.h>
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdbool.h>
-#include <assert.h>
-
-/**
-* Add-on namespace.
-*/
-namespace stdlib_blas_ext_base_dsnansumors {
-
-	/**
-	* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
-	*
-	* ## Notes
-	*
-	* -   When called from JavaScript, the function expects three arguments:
-	*
-	*     -   `N`: number of indexed elements
-	*     -   `X`: input array
-	*     -   `stride`: stride length
-	*/
-	napi_value node_dsnansumors( napi_env env, napi_callback_info info ) {
-		napi_status status;
-
-		size_t argc = 3;
-		napi_value argv[ 3 ];
-		status = napi_get_cb_info( env, info, &argc, argv, nullptr, nullptr );
-		assert( status == napi_ok );
-
-		if ( argc < 3 ) {
-			napi_throw_error( env, nullptr, "invalid invocation. Must provide 3 arguments." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype0;
-		status = napi_typeof( env, argv[ 0 ], &vtype0 );
-		assert( status == napi_ok );
-		if ( vtype0 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. First argument must be a number." );
-			return nullptr;
-		}
-
-		bool res;
-		status = napi_is_typedarray( env, argv[ 1 ], &res );
-		assert( status == napi_ok );
-		if ( res == false ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype2;
-		status = napi_typeof( env, argv[ 2 ], &vtype2 );
-		assert( status == napi_ok );
-		if ( vtype2 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Third argument must be a number." );
-			return nullptr;
-		}
-
-		int64_t N;
-		status = napi_get_value_int64( env, argv[ 0 ], &N );
-		assert( status == napi_ok );
-
-		int64_t stride;
-		status = napi_get_value_int64( env, argv[ 2 ], &stride );
-		assert( status == napi_ok );
-
-		napi_typedarray_type vtype1;
-		size_t xlen;
-		void *X;
-		status = napi_get_typedarray_info( env, argv[ 1 ], &vtype1, &xlen, &X, nullptr, nullptr );
-		assert( status == napi_ok );
-		if ( vtype1 != napi_float32_array ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-		if ( (N-1)*llabs(stride) >= (int64_t)xlen ) {
-			napi_throw_range_error( env, nullptr, "invalid argument. Second argument has insufficient elements based on the associated stride and the number of indexed elements." );
-			return nullptr;
-		}
-
-		napi_value v;
-		status = napi_create_double( env, stdlib_strided_dsnansumors( N, (float *)X, stride ), &v );
-		assert( status == napi_ok );
-
-		return v;
-	}
-
-	napi_value Init( napi_env env, napi_value exports ) {
-		napi_status status;
-		napi_value fcn;
-		status = napi_create_function( env, "exports", NAPI_AUTO_LENGTH, node_dsnansumors, NULL, &fcn );
-		assert( status == napi_ok );
-		return fcn;
-	}
-
-	NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
-} // end namespace stdlib_blas_ext_base_dsnansumors
diff --git a/test/test.dsnansumors.js b/test/test.dsnansumors.js
index ed542ac..7e2efb4 100644
--- a/test/test.dsnansumors.js
+++ b/test/test.dsnansumors.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math-base-special-floor' );
 var Float32Array = require( '@stdlib/array-float32' );
 var dsnansumors = require( './../lib/dsnansumors.js' );
 
@@ -35,7 +34,7 @@ tape( 'main export is a function', function test( t ) {
 });
 
 tape( 'the function has an arity of 3', function test( t ) {
-	t.strictEqual( dsnansumors.length, 3, 'has expected arity' );
+	t.strictEqual( dsnansumors.length, 3, 'returns expected value' );
 	t.end();
 });
 
@@ -106,7 +105,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -123,15 +121,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, 2 );
+	v = dsnansumors( 5, x, 2 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -148,8 +144,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, -2 );
+	v = dsnansumors( 5, x, -2 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -170,7 +165,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -188,9 +182,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsnansumors( N, x1, 2 );
+	v = dsnansumors( 5, x1, 2 );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	t.end();
diff --git a/test/test.dsnansumors.native.js b/test/test.dsnansumors.native.js
index 03c7e4d..cdfdb4b 100644
--- a/test/test.dsnansumors.native.js
+++ b/test/test.dsnansumors.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math-base-special-floor' );
 var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 
@@ -44,7 +43,7 @@ tape( 'main export is a function', opts, function test( t ) {
 });
 
 tape( 'the function has an arity of 3', opts, function test( t ) {
-	t.strictEqual( dsnansumors.length, 3, 'has expected arity' );
+	t.strictEqual( dsnansumors.length, 3, 'returns expected value' );
 	t.end();
 });
 
@@ -197,7 +196,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -214,15 +212,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, 2 );
+	v = dsnansumors( 5, x, 2 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -239,8 +235,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, -2 );
+	v = dsnansumors( 5, x, -2 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -261,7 +256,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -279,9 +273,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsnansumors( N, x1, 2 );
+	v = dsnansumors( 5, x1, 2 );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	t.end();
diff --git a/test/test.ndarray.js b/test/test.ndarray.js
index 8a38c73..92ea7ac 100644
--- a/test/test.ndarray.js
+++ b/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math-base-special-floor' );
 var Float32Array = require( '@stdlib/array-float32' );
 var dsnansumors = require( './../lib/ndarray.js' );
 
@@ -35,7 +34,7 @@ tape( 'main export is a function', function test( t ) {
 });
 
 tape( 'the function has an arity of 4', function test( t ) {
-	t.strictEqual( dsnansumors.length, 4, 'has expected arity' );
+	t.strictEqual( dsnansumors.length, 4, 'returns expected value' );
 	t.end();
 });
 
@@ -106,7 +105,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -123,15 +121,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, 2, 0 );
+	v = dsnansumors( 5, x, 2, 0 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -148,8 +144,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, -2, 8 );
+	v = dsnansumors( 5, x, -2, 8 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -168,7 +163,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -184,9 +178,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsnansumors( N, x, 2, 1 );
+	v = dsnansumors( 5, x, 2, 1 );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	t.end();
diff --git a/test/test.ndarray.native.js b/test/test.ndarray.native.js
index e62abac..2c0a057 100644
--- a/test/test.ndarray.native.js
+++ b/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math-base-special-floor' );
 var Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 
@@ -44,7 +43,7 @@ tape( 'main export is a function', opts, function test( t ) {
 });
 
 tape( 'the function has an arity of 4', opts, function test( t ) {
-	t.strictEqual( dsnansumors.length, 4, 'has expected arity' );
+	t.strictEqual( dsnansumors.length, 4, 'returns expected value' );
 	t.end();
 });
 
@@ -115,7 +114,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -132,15 +130,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, 2, 0 );
+	v = dsnansumors( 5, x, 2, 0 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -157,8 +153,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsnansumors( N, x, -2, 8 );
+	v = dsnansumors( 5, x, -2, 8 );
 
 	t.strictEqual( v, 5.0, 'returns expected value' );
 	t.end();
@@ -177,7 +172,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -193,9 +187,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsnansumors( N, x, 2, 1 );
+	v = dsnansumors( 5, x, 2, 1 );
 	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	t.end();