diff --git a/docs/faq/revio.md b/docs/faq/revio.md index ec1d21a..8c31144 100644 --- a/docs/faq/revio.md +++ b/docs/faq/revio.md @@ -11,15 +11,15 @@ longer stored, nor can be transferred, as file sizes exceed one TBytes per SMRT Cell 25M. Aside constant algorithmic improvements, there are few changes since the 6.4.0 SQIIe release. -1. Arrow polishing is performed on the instrument. -2. DeepConsensus further increases quality of lower quality windows. +1. Arrow polishing is performed on GPU. +2. DeepConsensus further increases accuracy of lower quality windows. 3. Performance improvements. 4. The customer-facing files layout changed. 5. A new `fail_reads.bam` has been introduced. ### GPU polishing

-The polish algo in _ccs_ is an HMM, filling out matrices at its core. The nature +The polish algo in ccs is an HMM, filling out matrices at its core. The nature of its operations makes an efficient GPU implementation challenging. We’ve ported it completely onto Nvidia GPUs and achieved a 10x speedup over a dual 64c AMD EPYC, easily the fastest HMM on GPU.

@@ -28,7 +28,7 @@ ported it completely onto Nvidia GPUs and achieved a 10x speedup over a dual ### DeepConsensus We have tightly integrate Google's [DeepConsensus](https://github.com/google/deepconsensus) into _ccs_. For this, we have implemented a C++ front-end using ONNXruntime -and accelerate it on TensorRT cores of modern data center Nvidia GPU cards. +and accelerated it on TensorRT cores of modern data center Nvidia GPU cards. HiFi read generation on the Revio system uses a multi-step process, which also has an impact how the predicted read quality is computed: