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How we use GPUs in Cookpad
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Yuichiro Someya
November 06, 2017
Programming
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How we use GPUs in Cookpad
@Tokyo Machine Learning Kitchen
https://tokyo-ml.github.io/
Yuichiro Someya
November 06, 2017
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Transcript
)PXXFVTF(16TJO$PPLQBE :VJDIJSP4PNFZB!$PPLQBE*OD3%
‣ Yuichiro Someya (ayemos) ‣ github.com/ayemos ‣ Machine Learning Enginner
@ Cookpad Inc. # 2016(new grads) ~ Current
None
‣ 0VS(16FOWJSPONFOU )PXXFVUJMJ[F"84T(16JOTUBODFT )PXXFLFFQPVSTDBMBCJMJUZPGUFBNTJO3%
/7*%*"7
All-in on AWS since 2011
All-in on AWS since 2011 Amazon RDS (Relational Data)
Amazon Redshift (Data Warehouse)
All-in on AWS since 2011 Amazon S3 (Object Storage)
Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse)
All-in on AWS since 2011 Amazon S3 (Object Storage)
Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse) 7JSUVBM1SJWBUF$MPVE
7JSUVBM1SJWBUF$MPVE All-in on AWS since 2011 Amazon S3 (Object
Storage) Amazon RDS (Relational Data) Amazon Redshift (Data Warehouse) Amazon EC2 (Computation)
‣ $6%" ‣ DV%//
‣ $6%" ‣ DV%// (Snapshot)
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
5FNQMBUF CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 5FNQMBUF KTPO
QBDLFSCVJME
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
‣ $6%" ‣ DV%// (Snapshot) ‣ $6%" ‣ DV%//
IUUQTBXTBNB[PODPNBNB[POBJBNJT CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
AWS Lambda (Function) Stop! Idle? (Hourly)
CUDA9 cuDNN7 CUDA8 cuDNN7 CUDA8 cuDNN6 ... `ssh` ...
AWS Lambda (Function) Stop! Idle? (Hourly)
‣ 0OEFNBOE(16XPSLCFODIFT 6UJMJ[F".*UPNVMUJQMFXPSLCFODIFOWJSPONFOUT 1BDLFSNBLFTJUFBTJFSUPVQEBUFBOENPSFTUBCMF 0QFSBUFWJB$IBUCPU 8SBQVQ