Title:
How much (execution) time and energy does my algorithm cost?

dc.contributor.author Vuduc, Richard en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Computational Science and Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.date.accessioned 2012-09-17T18:31:08Z
dc.date.available 2012-09-17T18:31:08Z
dc.date.issued 2012-08-24
dc.description This work is joint with Jee Whan Choi, Aparna Chandramowlishwaran, Marat Dukhan, and Kenneth Czechowski. en_US
dc.description Presented on August 24, 2012 from 2:00-3:00 pm in room 2447 of the Klaus Advanced Computing Building on the Georgia Tech campus. en_US
dc.description Runtime: 52:58 minutes en_US
dc.description.abstract When designing an algorithm or performance-tuning code, is time-efficiency (e.g., operations per second) the same as energy-efficiency (e.g., operations per Joule)? Why or why not? To answer these questions, we posit a simple strawman model of the energy to execute an algorithm. Our model is the energy-based analogue of the time-based "roofline" model of Williams, Patterson, and Waterman (Comm. ACM, 2009). What do these models imply for algorithm design? What might computer architects tell algorithm designers to help them better understand whether and how algorithm design should change in an energy-constrained computing environment? en_US
dc.format.extent 52:58 minutes
dc.identifier.uri http://hdl.handle.net/1853/44660
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries Computational Science and Engineering Seminar Series en_US
dc.subject High-performance computing en_US
dc.subject Parallel computing en_US
dc.subject Performance analysis en_US
dc.subject Performance tuning en_US
dc.subject Power en_US
dc.subject Energy en_US
dc.title How much (execution) time and energy does my algorithm cost? en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.author Vuduc, Richard
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computational Science and Engineering
local.relation.ispartofseries Computational Science and Engineering Seminar Series
relation.isAuthorOfPublication e9a36794-e148-4304-8933-6ae0449c21d2
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication 01ab2ef1-c6da-49c9-be98-fbd1d840d2b1
relation.isSeriesOfPublication 97f53edf-44c2-4e20-855a-72065461737d
Files
Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
vuduc.mp4
Size:
152.48 MB
Format:
MP4 Video file
Description:
Download Video
No Thumbnail Available
Name:
vuduc_videostream.html
Size:
985 B
Format:
Hypertext Markup Language
Description:
Streaming Video
No Thumbnail Available
Name:
transcription.txt
Size:
48.23 KB
Format:
Plain Text
Description:
Transcription
Collections