fixed broken links

ck/README.md

@@ -93,7 +93,7 @@ and implement the following reusable automation recipes in the CK format:
       [Datacenter results](https://mlcommons.org/en/inference-datacenter-11), 
       [Edge results](https://mlcommons.org/en/inference-edge-11)
   - [Reproducibility studies for MLPerf inference benchmark v1.1 automated by CK](https://github.com/mlcommons/ck/tree/master/docs/mlperf-automation/reproduce#reproducibility-reports-mlperf-inference-benchmark-v11)
-  - [Design space exploration of ML/SW/HW stacks and customizable visualization](https://cknowledge.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
+  - [Design space exploration of ML/SW/HW stacks and customizable visualization](https://cknow.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
 
 
 Please contact [Grigori Fursin](https://www.linkedin.com/in/grigorifursin) if you are interested to join this community effort!
@@ -123,7 +123,7 @@ The latest version of the CK automation suite supported by MLCommons™:
 
 ## Current projects
 * [Automating MLPerf(tm) inference benchmark and packing ML models, data sets and frameworks as CK components with a unified API and meta description](https://github.com/mlcommons/ck/blob/master/docs/mlperf-automation/README.md)
-* Developing customizable dashboards for MLPerf™ to help end-users select ML/SW/HW stacks on a Pareto frontier: [aggregated MLPerf™ results]( https://cknowledge.io/?q="mlperf-inference-all" )
+* Developing customizable dashboards for MLPerf™ to help end-users select ML/SW/HW stacks on a Pareto frontier: [aggregated MLPerf™ results]( https://cknow.io/?q="mlperf-inference-all" )
 * Providing a common format to share artifacts at ML, systems and other conferences: [video](https://youtu.be/DIkZxraTmGM), [Artifact Evaluation](https://cTuning.org/ae)
 * Redesigning CK together with the community based on user feedback: [incubator](https://github.com/mlcommons/ck/tree/master/incubator)
 * [Other real-world use cases](https://cKnowledge.org/partners.html) from MLPerf™, Qualcomm, Arm, General Motors, IBM, the Raspberry Pi foundation, ACM and other great partners;
@@ -255,13 +255,13 @@ to make it easier to integrate them with web services and CI platforms as descri
 
 ## CK portal 
 
-We have developed the [cKnowledge.io portal](https://cKnowledge.io) to help the community
+We have developed the [cKnowledge.io portal](https://cknow.io) to help the community
 organize and find all the CK workflows and components similar to PyPI:
 
-* [Search CK components](https://cKnowledge.io)
-* [Browse CK components](https://cKnowledge.io/browse)
-* [Find reproduced results from papers]( https://cKnowledge.io/reproduced-results )
-* [Test CK workflows to benchmark and optimize ML Systems]( https://cKnowledge.io/demo )
+* [Search CK components](https://cknow.io)
+* [Browse CK components](https://cknow.io/browse)
+* [Find reproduced results from papers]( https://cknow.io/reproduced-results )
+* [Test CK workflows to benchmark and optimize ML Systems]( https://cknow.io/demo )
 
 
 
@@ -277,7 +277,7 @@ The community provides Docker containers to test CK and components using differe
 ## Contributions
 
 Users can extend the CK functionality via [CK modules](https://github.com/mlcommons/ck/tree/master/ck/repo/module) 
-or external [GitHub reposities](https://cKnowledge.io/repos) in the CK format
+or external [GitHub reposities](https://cknow.io/repos) in the CK format
 as described [here](https://ck.readthedocs.io/en/latest/src/typical-usage.html).
 
 Please check [this documentation](https://ck.readthedocs.io/en/latest/src/how-to-contribute.html)

ck/ck/kernel.py

@@ -54,10 +54,10 @@
     "cmd": "ck <action> $#module_uoa#$ (cid1/uid1) (cid2/uid2) (cid3/uid3) key_i=value_i ... @file.json",
 
     # Collective Knowledge Base (ckb)
-    "wiki_data_web": "https://cKnowledge.io/c/",
+    "wiki_data_web": "https://cknow.io/c/",
     # Collective Knowledge Base (ckb)
     "private_wiki_data_web": "https://github.com/mlcommons/ck/wiki/ckb_",
-    "api_web": "https://cKnowledge.io/c/module/",
+    "api_web": "https://cknow.io/c/module/",
     "status_url": "https://raw.githubusercontent.com/mlcommons/ck/master/setup.py",
 
     "help_examples": "  Example of obtaining, compiling and running a shared benchmark on Linux with GCC:\n    $ ck pull repo:ctuning-programs\n    $ ck compile program:cbench-automotive-susan --speed\n    $ ck run program:cbench-automotive-susan\n\n  Example of an interactive CK-powered article:\n    http://cknowledge.org/repo\n",
@@ -148,7 +148,7 @@
     "index_port": "9200",
     "index_use_curl": "no",
 
-    "cknowledge_api": "https://cKnowledge.io/api/v1/?",
+    "cknowledge_api": "https://cknow.io/api/v1/?",
     #      "download_missing_components":"yes",
     "check_missing_modules": "yes",
 
@@ -6747,7 +6747,7 @@ def short_help(i):
 
     h += 'CK Google group:      https://bit.ly/ck-google-group\n'
     h += 'CK Slack channel:     https://cKnowledge.org/join-slack\n'
-    h += 'Stable CK components: https://cKnowledge.io'
+    h += 'Stable CK components: https://cknow.io'
 
     if o == 'con':
         out(h)

ck/ck/repo/module/ck-platform/README.md

@@ -2,7 +2,7 @@
 
 Check `test/init-graph.bat`
 
-https://cknowledge.io/c/result/fgg-test/?v=1.0.0#gfursin_1
+https://cknow.io/c/result/fgg-test/?v=1.0.0#gfursin_1
 
 ## Push results to a graph
 

ck/ck/repo/module/ck-platform/ck_032630d041b4fd8a/config.py

@@ -12,7 +12,7 @@
 
 CK_CFG_MODULE_REPO_UOA="befd7892b0d469e9" # CK module UOA for REPO
 
-CR_DEFAULT_SERVER="https://cKnowledge.io"
+CR_DEFAULT_SERVER="https://cknow.io"
 CR_DEFAULT_SERVER_URL=CR_DEFAULT_SERVER+"/api/v1/?"
 CR_DEFAULT_SERVER_USER="crowd-user"
 CR_DEFAULT_SERVER_API_KEY="43fa84787ff65c2c00bf740e3853c90da8081680fe1025e8314e260888265033"
@@ -142,7 +142,7 @@ def update(i):
 
     # Check release notes 
     server_url=cfg.get('server_url','')
-    if server_url=='': server_url='https://cKnowledge.io/api/v1/?'
+    if server_url=='': server_url='https://cknow.io/api/v1/?'
 
     from . import comm_min
     r=comm_min.send({'url':server_url,

ck/ck/repo/module/package/module.py

@@ -1930,7 +1930,7 @@ def show(i):
 
        h+='<p>\n'
        h+='See <pre>ck install package --help</pre> for more installation options.\n'
-       h+='See <a href="https://cKnowledge.io/c/soft">related CK soft detection plugins</a>,\n'
+       h+='See <a href="https://cknow.io/c/soft">related CK soft detection plugins</a>,\n'
        h+=' <a href="https://github.com/mlcommons/ck/wiki">CK documentation</a>,\n'
        h+=' <a href="https://github.com/mlcommons/ck/wiki#contributing">"how to contribute" guide</a>,\n'
        h+=' <a href="https://portalparts.acm.org/3230000/3229762/fm/frontmatter.pdf">ACM ReQuEST-ASPLOS\'18 report</a>\n'
@@ -2699,7 +2699,7 @@ def add(i):
     # Check related soft first
     suoa=i.get('soft','')
     if suoa=='':
-       return {'return':1, 'error':'related software detection plugin is not specified. Specify the existing one using --soft={name from https://cknowledge.io/c/soft} or create a new one using "ck add soft {repo}:soft:{name}"'}
+       return {'return':1, 'error':'related software detection plugin is not specified. Specify the existing one using --soft={name from https://cknow.io/c/soft} or create a new one using "ck add soft {repo}:soft:{name}"'}
 
     # Load soft to get UID and tags
     r=ck.access({'action':'load',

ck/docs/mlperf-automation/README.md

@@ -80,7 +80,7 @@ Speech               | [CK ±](tasks/task-speech-pytorch.md) |  |  |  |  |
 
 See other CK packages with open source datasets shared by the community 
 (to be standardized and connected with the new submission system):
-[View](https://cknowledge.io/?q=%22package%3Adataset-*%22)
+[View](https://cknow.io/?q=%22package%3Adataset-*%22)
 
 ## CK packages with ML models used for MLPerf submissions
 
@@ -96,7 +96,7 @@ See other CK packages with open source datasets shared by the community
 
 ## Customizable dashboards
 
-* [All aggregated MLPerf inference benchmark results](https://cknowledge.io/?q=%22mlperf-inference-all%22)
+* [All aggregated MLPerf inference benchmark results](https://cknow.io/?q=%22mlperf-inference-all%22)
 
 # Table of contents
 
@@ -122,8 +122,8 @@ See other CK packages with open source datasets shared by the community
 * [MLPerf™ object detection workflow](https://github.com/mlcommons/ck/blob/master/docs/mlperf-automation/tasks/task-object-detection.md)
 * [Docker image for MLPerf™ with OpenVINO]( https://github.com/mlcommons/ck-mlops/tree/main/docker/mlperf-inference-v0.7.openvino)
 * [Jupyter notebook for ML DSE](https://nbviewer.jupyter.org/urls/dl.dropbox.com/s/f28u9epifr0nn09/ck-dse-demo-object-detection.ipynb)
-* [Webcam test of the MLPerf object detection model with TFLite](https://cknowledge.io/solution/demo-obj-detection-coco-tf-cpu-webcam-linux-azure#test)
-* [Public scoreboard with MLPerf DSE](https://cknowledge.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
+* [Webcam test of the MLPerf object detection model with TFLite](https://cknow.io/solution/demo-obj-detection-coco-tf-cpu-webcam-linux-azure#test)
+* [Public scoreboard with MLPerf DSE](https://cknow.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
 
 
 # Further improvements

ck/docs/mlperf-automation/components/README.md

@@ -52,4 +52,4 @@ Feel free to help and/or provide your feedback [here](https://github.com/mlcommo
 
 # Coordinator
 
-* [Grigori Fursin](https://cKnowledge.io/@gfursin)
+* [Grigori Fursin](https://cKnowledge.org/gfursin)

ck/docs/mlperf-automation/datasets/README.md

@@ -3,4 +3,4 @@
 * [COCO 2017](coco2017.md)
 * [ImageNet 2012](imagenet2012.md)
 
-* [CK datasets from the community - must be cleaned and unified](https://cknowledge.io/?q=module_uoa%3A%22package%22+AND+dataset)
+* [CK datasets from the community - must be cleaned and unified](https://cknow.io/?q=module_uoa%3A%22package%22+AND+dataset)

ck/docs/mlperf-automation/dse/README.md

@@ -7,12 +7,12 @@
 # CK based object detection DSE 
 
 * [Jupyter notebook](https://nbviewer.jupyter.org/urls/dl.dropbox.com/s/f28u9epifr0nn09/ck-dse-demo-object-detection.ipynb)
-* [CK dashboard](https://cknowledge.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
+* [CK dashboard](https://cknow.io/result/crowd-benchmarking-mlperf-inference-classification-mobilenets-all)
 
 # ACM ASPLOS REQUEST DSE tournament
 
-* [event and report](https://cknowledge.io/c/event/repro-request-asplos2018)
-* [CK dashboard](https://cknowledge.io/c/result/pareto-efficient-ai-co-design-tournament-request-acm-asplos-2018)
+* [event and report](https://cknow.io/c/event/repro-request-asplos2018)
+* [CK dashboard](https://cknow.io/c/result/pareto-efficient-ai-co-design-tournament-request-acm-asplos-2018)
 
 To run locally:
 ```

ck/docs/mlperf-automation/inference/workflow.md

@@ -79,4 +79,4 @@ ck export mlperf.result
 
 # Coordinator
 
-* [Grigori Fursin](https://cKnowledge.io/@gfursin)
+* [Grigori Fursin](https://cKnowledge.org/gfursin)

ck/docs/mlperf-automation/reproduce/README.md

@@ -43,10 +43,10 @@ if you are interested to join this community effort!
 
 ## Using CK adaptive containers (to be tested!)
 
-* [MLPerf™ workflows](https://cknowledge.io/?q=module_uoa%3A%22docker%22+AND+%22mlperf%22)
+* [MLPerf™ workflows](https://cknow.io/?q=module_uoa%3A%22docker%22+AND+%22mlperf%22)
 
-* [CK image classification](https://cknowledge.io/?q=module_uoa%3A%22docker%22+AND+%22image-classification%22)
-* [CK object detection](https://cknowledge.io/?q=module_uoa%3A%22docker%22+AND+%22object-detection%22)
+* [CK image classification](https://cknow.io/?q=module_uoa%3A%22docker%22+AND+%22image-classification%22)
+* [CK object detection](https://cknow.io/?q=module_uoa%3A%22docker%22+AND+%22object-detection%22)
 
 
 # Other reproducibility studies

ck/docs/mlperf-automation/reproduce/ck-1b165548d8adbe4d.md

@@ -364,7 +364,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-3c77b273b4c7d878.md

@@ -389,7 +389,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-3e0ad4b09998375d.md

@@ -311,7 +311,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-4f1a470a8a034bc3.md

@@ -309,7 +309,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-6582273dd3646e28.md

@@ -145,7 +145,7 @@ ck install package --tags=model,image-classification,tflite,efficientnet,lite0,n
 
 More information about this model: 
 [ [CK meta.json](https://github.com/mlcommons/ck-mlops/blob/main/package/model-tflite-mlperf-efficientnet-lite/.cm/meta.json) ]
-[ [summary](https://cknowledge.io/c/package/model-tflite-mlperf-efficientnet-lite) ]
+[ [summary](https://cknow.io/c/package/model-tflite-mlperf-efficientnet-lite) ]
 
 
 ## SingleStream scenario
@@ -345,7 +345,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-94cc7bdd1f23cce3.md

@@ -323,7 +323,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-9fb65e57d8c61db4.md

@@ -308,7 +308,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-a399f837b48b0d1b.md

@@ -307,7 +307,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-ae88dc4516a7084e.md

@@ -146,7 +146,7 @@ ck install package --tags=model,image-classification,tflite,mobilenet-v1,v1-0.25
 
 More information about this model: 
 [ [CK meta.json](https://github.com/mlcommons/ck-mlops/blob/main/package/model-tf-and-tflite-mlperf-mobilenet-v1-20180802/.cm/meta.json) ]
-[ [summary](https://cknowledge.io/c/package/model-tf-and-tflite-mlperf-mobilenet-v1-20180802) ]
+[ [summary](https://cknow.io/c/package/model-tf-and-tflite-mlperf-mobilenet-v1-20180802) ]
 
 
 ## SingleStream scenario
@@ -348,7 +348,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-b14c70816eca59c6.md

@@ -146,7 +146,7 @@ ck install package --tags=model,image-classification,tflite,mobilenet-v3,v3-larg
 ```
 More information about this model: 
 [ [CK meta.json](https://github.com/mlcommons/ck-mlops/blob/main/package/model-tf-and-tflite-mlperf-mobilenet-v3/.cm/meta.json) ]
-[ [summary](https://cknowledge.io/c/package/model-tf-and-tflite-mlperf-mobilenet-v3) ]
+[ [summary](https://cknow.io/c/package/model-tf-and-tflite-mlperf-mobilenet-v3) ]
 
 
 ## SingleStream scenario
@@ -348,7 +348,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-c3d81b4b869e8e07.md

@@ -325,7 +325,7 @@ You can remove "ck-mlperf-inference-1.1-dse:" from above commands to process res
 
 ## Display other reproduced results at cKnowledge.io
 
-* [List dashboards](https://cknowledge.io/reproduced-results)
+* [List dashboards](https://cknow.io/reproduced-results)
 
 
 

ck/docs/mlperf-automation/reproduce/ck-image-classification-jetson-nano-tflite.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210505***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210505***
 
 * Platform: Nvidia Jetson Nano
 * OS: Ubuntu 18.04.05 LTS 64-bit

ck/docs/mlperf-automation/reproduce/ck-image-classification-rpi4-tflite.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210505***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210505***
 
 * Platform: Raspberry Pi 4
 * OS: Ubuntu 20.04 64-bit

ck/docs/mlperf-automation/reproduce/ck-image-classification-x86-64-openvino-2019.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210808***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210808***
 
 * Platform: x8664
 * OS: Ubuntu 18.04 64-bit

ck/docs/mlperf-automation/reproduce/ck-image-classification-x86-64-tflite.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210506***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210506***
 
 * Platform: x86 64
 * OS: Ubuntu 18.04 64-bit

ck/docs/mlperf-automation/reproduce/ck-image-classification-x86-64-tflite2.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210808***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210808***
 
 * Platform: x8664
 * OS: Ubuntu 18.04 64-bit

ck/docs/mlperf-automation/reproduce/ck-object-detection-rpi4-coral-tflite.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210501***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210501***
 
 # MLPerf™ Inference v1.0 - Object Detection - TFLite (with Coral EdgeTPU support)
 

ck/docs/mlperf-automation/reproduce/ck-object-detection-rpi4-tflite.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210428***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210428***
 
 # MLPerf™ Inference v1.0 - Object Detection - TFLite
 

ck/docs/mlperf-automation/reproduce/ck-object-detection-x86-64.md

@@ -1,6 +1,6 @@
 **[ [TOC](../README.md) ]**
 
-***Reproduced by [Grigori Fursin](https://cKnowledge.io/@gfursin) on 20210428***
+***Reproduced by [Grigori Fursin](https://cKnowledge.org/gfursin) on 20210428***
 
 # MLPerf™ Inference v1.0 - Object Detection - TFLite 2.4.1 with RUY