PPT-Disciplined Approximate Computing: From Language to Hardware and Beyond

University of Washington Adrian Sampson Hadi Esmaelizadeh 1 Michael Ringenburg Reneé St Amant 2 Luis Ceze Dan Grossman Mark Oskin Karin Strauss 3 and Doug Burger. /DARPA Workshop on Accuracy Trade-Offs Across the System Stack for Performance and . Energy. (aka Approximate Computing). Luis Ceze and James Larus. ISAT Advisors: Kathryn McKinley and Christos . Kozyrakis. University of Washington. Adrian Sampson, . Hadi. Esmaelizadeh,. 1. Michael . Ringenburg. , . Reneé. St. Amant,. 2. . Luis . Ceze. , . Dan Grossman. , Mark . Oskin. , Karin Strauss,. 3. and Doug Burger. Michael . Carbin. with . Sasa. . Misailovic. , Hank Hoffmann. , . Deokhwan. . Kim, . Stelios. . Sidiroglou. , Martin . Rinard. MIT. Challenges for Programming. Expression (specifying approximations). . Sarita V. Adve. University of Illinois. sadve@illinois.edu. Sequential CS 101. Java. Parallel CS 101. Java. Threads. Parallel CS 101. Java. Threads. Data races. Parallel CS 101. Java. Threads. Data races. Hardware: Challenges and Opportunities. Author. : Bingsheng He. (Nanyang Technological University, Singapore) . Speaker. : . Jiong . He . (Nanyang Technological University, Singapore. ). 1. What is Approximate Hardware?. Reconfigurable Computing. http://www.ece.arizona.edu/~ece506. Lecture 1. Course Introduction. Ali Akoglu. Background needed for this course. You should be familiar with:. Digital design. Architecture. . Sarita V. Adve. University of Illinois. sadve@illinois.edu. Sequential CS 101. Java. Parallel CS 101. Java. Threads. Parallel CS 101. Java. Threads. Data races. Parallel CS 101. Java. Threads. Data races. Computation Circuits. Wei-Ting Jonas Chan. 1. , Andrew B. Kahng. 1. , . Seokhyeong Kang. 1. , . Rakesh. Kumar. 2. , and John Sartori. 3. 1. VLSI . CAD LABORATORY, . UC San Diego. 2. PASSAT GROUP, Univ. of Illinois. Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/01/2015. Outline. Background. Pitfalls & Fallacies. Practical Guidelines. 2. 12/01/2015. On Quantification of Accuracy Loss in Approximate Computing. Computation Circuits. Wei-Ting Jonas Chan. 1. , Andrew B. Kahng. 1. , . Seokhyeong Kang. 1. , . Rakesh. Kumar. 2. , and John Sartori. 3. 1. VLSI . CAD LABORATORY, . UC San Diego. 2. PASSAT GROUP, Univ. of Illinois. Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. Yemi Adesanya. October 2016. v. 3.0. 2. About Yemi Adesanya…... In my previous life: CERN fellow and technical . student. 1. 8. . years at SLAC. BaBar computing. Object-Oriented frameworks for data analysis (C++, Java). Yemi AdesanyaOctober 2016v 302About Yemi AdesanyaIn my previous life CERN fellow and technical student18years at SLACBaBar computingObject-Oriented frameworks for data analysis C JavaMonitoring and vi Neural Networks Using Approximate. Multiply-Accumulate Blocks. Mohammadreza Esmali . Nojehdeh. , . Levent Aksoy. . and Mustafa Altun. Emerging Circuits and Computation (ECC) Group. Istanbul Technical University.