From e8dce3a98233c80c3e8cf3e8781a21e6aae79568 Mon Sep 17 00:00:00 2001 From: Xinghai Sun Date: Mon, 18 Sep 2017 20:38:06 +0800 Subject: [PATCH] Add README doc section of multi-gpu acceleration. --- README.md | 18 +++++++++++++++--- docs/images/multi_gpu_speedup.png | Bin 0 -> 156739 bytes 2 files changed, 15 insertions(+), 3 deletions(-) create mode 100755 docs/images/multi_gpu_speedup.png diff --git a/README.md b/README.md index 4080476b..9e9113d8 100644 --- a/README.md +++ b/README.md @@ -14,8 +14,8 @@ - [Hyper-parameters Tuning](#hyper-parameters-tuning) - [Training for Mandarin Language](#training-for-mandarin-language) - [Trying Live Demo with Your Own Voice](#trying-live-demo-with-your-own-voice) -- [Experiments and Benchmarks](#experiments-and-benchmarks) - [Released Models](#released-models) +- [Experiments and Benchmarks](#experiments-and-benchmarks) - [Questions and Help](#questions-and-help) ## Prerequisites @@ -466,9 +466,21 @@ Test Set | Aishell Model | Internal Mandarin Model Aishell-Test | X.X | X.X Baidu-Mandarin-Test | X.X | X.X -#### Multiple GPU Efficiency +#### Acceleration with Multi-GPUs + +We compare the training time with 1, 2, 4, 8, 16 Tesla K40m GPUs (with a subset of LibriSpeech samples whose audio durations are between 6.0 and 7.0 seconds). And it shows that a **near-linear** acceleration with multiple GPUs has been achieved. In the following figure, the time (in seconds) used for training is plotted on the blue bars. + +
+ +| # of GPU | Acceleration Rate | +| -------- | --------------: | +| 1 | 1.00 X | +| 2 | 1.97 X | +| 4 | 3.74 X | +| 8 | 6.21 X | +|16 | 10.70 X | -TODO: To Be Added +`tools/profile.sh` provides such a profiling tool. ## Questions and Help diff --git a/docs/images/multi_gpu_speedup.png b/docs/images/multi_gpu_speedup.png new file mode 100755 index 0000000000000000000000000000000000000000..57a803bac8a6c793548abf71db2899aeac829fa1 GIT binary patch literal 156739 zcmZ6zdt8!tA3t1k%eG3_teHnvtZa8BnVF)1+iF@fWoCD#B9@kvlqh5h3RG^XDUw;? z5muIFDQ0Gh3Ra#|AQK_aiU75Bt5I`~Ka}^9L`^T-W#doZs*Fm$X0pytjN~ z{mr^{>$aRYe(cn`btd1gTerSv;|Aj^HP)*<BLyuRRe${A^mx~XV@}_7-P!f8aN9dU z2Y2my{P^*?pSNw>{)-J+OcN~;WuW{syz4=h(aLM!NkpWPQc1JII zh9xaPGlqsr6sP4jkcpq*`2H=?G06j0g_W~!>r518Wgaj8e-HL6-}Xe;A|d;gAA>{V z&kfy-GZosM{r@}|GHV#3oW#VYhg@McT68WpO~~w zt5FkR0KN}%#%63LU)`ng%doW_2@3U76fjaqm$#%Wzzv@&>r9J?Z{P%$X=@g#l!07! z(^tg)=cuE9p-fenqpP8Z05i?c9+DdclLyFY$zF7Q&`CN};ttPr8Rzt0DvU}K?P0go 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