Distributed and Parallel Processing Technology Chapter5. Developing a MapReduce Application
Parallel image processing with Lambda
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Transcript of Parallel image processing with Lambda
JAWS-UG HPC, 22nd April, 2016
Parallel image processingwith Lambda
Takahisa ShiratoriDept. Tech. 2
Serverworks Co., Ltd.
Lambdaで並列画像処理
About Me
ExperienceMar. 2016 – Present Dept. Tech. 2 @ ServerworksApr. 2015 – Feb. 2016 Job rotation as newcomer training
@ ServerworksApr. 2012 – Mar. 2015 Ph.D student in Fluid Mechanics
Takahisa Shiratori 白鳥 貴久Serverworks Co., Ltd.
About Serverworks Co., Ltd.
Cloud integrator specialized in AWSPremier Consulting Partner
Advanced in backbone systemsOur customers
46 in the world5 in Japan
Fluid Mechanics 流体力学
Investigate how fluids (liquids, gases etc) flow流体(液体 , 気体など)がどのように流れるのかを探る
http://www.mdte.jp/laboratory/l_train.html
http://guncanon.web.fc2.com/text/kuriki-01.htm https://www.sbd.jp/case/category/industry/electronics.shtml
PIV in Fluid Mechanics
PIV (Particle Image Velocimetry, 粒子画像流速測定法 )
PIV
How PIV derive flows?
How PIV derive flows?
How PIV derive flows?
How PIV derive flows?
Disadvantage of PIV• Long calculation time
ex) 6000 images, 1024*1024 pixel
Solution• Parallel image
processing with AWS Lambda
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Similar or Not similar…?→ Evaluate with Cross Correlation
Why Parallel processing?
Time・・・
1st Image&
2nd Image
2nd Image&
3rd Image
3rd Image&
4th Image
Serial Processing
Parallel Processing
1/(N-1) Calculation timeN: The number of image
What’s & Why AWS Lambda?
AdvantagesEasy setup
Pricing per 100ms
Loose coupling
Requests
Lambda function
S3API Gatewaycronetc…
Architecture for SINGLE processing
PreparationSaving PIV algorithm as Lambda function
Procedure1. Saving two image files on S3
2. Saving an input CSV file on S3
3. Lambda function is invoked.
4. The flow distribution is written out as an output CSV file.
5. The output CSV file is saved on S3.
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PIV algorithm on Lambda
Architecture for PARALLEL processing
Procedure
1. Saving all image files on S3
2. Saving parent-CSV on S3
3. Lambda function is invoked.
4. Child-CSV files are generated.
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5. Child-CSV files are saved on S3.
6. Each child-CSV files invoke Lambda function.
7. Output CSV files are saved on S3.
Good results
Error vectors will be removed in the post-processing.
Calculation Performance
Interaction?Interaction?
Single Parallel
1st & 2nd 2nd & 3rd 3rd & 4thMemory Size [MB] 1536Timeout [sec] 300Calculation time [sec] 112 235 234 111Max Memory Used [MB] 28 22 23 28Price [USD] 0.280 0.587 0.585 0.278
Requests
Summary
Image processing was easily parallelized with AWS Lambda.
Motion of particles, humans, vehicles etc will be quantified in shorter calculation time.
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Thank you foryour kind attention!
Contact Us
Serverworks Co., [email protected]
+81-(0)3-5579-8029日本語 http://www.serverworks.co.jpEnglish http://www.serverworks.co.jp/en