PDF-[READ]-Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques,
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[READ]-Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques,: Transcript
The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand. Programming Language Pragmatics. Michael L. Scott. Programming Languages. What programming languages can you name?. Which do you know?. Introduction. Why are there so many programming languages?. evolution -- we've learned better ways of doing things over time. Greg Morrisett. Goal. Understand how to build models of dynamic systems and . formally . reason about them.. Dynamic Systems. (Possibly infinite) set of states and a transition relation between states.. Slide . 1. Technology Changes. Mid-1980’s. 2012. Change. CPU speed. 15 MHz. 2.5 GHz. 167x. Memory size. 8 MB. 4 GB. 500x. Disk capacity. 30 MB. 500 GB. 16667x. Disk transfer rate. 2 MB/s. 100 MB/s. Day Monday Notes: Tuesday Notes: Wednesday Notes: Thursday Notes: Friday Notes: Saturday Notes: Sunday Notes: Workout Intervals Steady row Repeat four times for one set then take a break of 3 minu in . Dyninst. Andrew . Bernat. , Matthew Legendre. Instrumentation is Complicated. User perspective: . “Insert some new code here, here, and here.”. Dyninst’s. perspective:. Relocation. – Move code to make space for instrumentation. Tyler Patton. Discussion:. Background. Sequential Optimizations. Parallelization of chess. Backgroun. d. : What is Chess?. Strategic 2 player game. 64 tiles. 16 pieces per player. Objective to capture the. Prof. O. . Nierstrasz. Lecture notes by Marcus . Denker. © Marcus . Denker. Optimization. Roadmap. Introduction. Optimizations in the Back-end. The Optimizer. SSA Optimizations. Advanced Optimizations. Gift Nyikayaramba. 30 September 2014. Overview. . Key design issues . Code region selection. DVFS decision. Code insertion/transformation. . Platform. Intel PIN . variant. . Deployment environment. Ross Tate. Michael Stepp. Sorin Lerner. University of California, San Diego. Optimizing by Hand. Original. for (i = 0; i < 50; i ). . for (j = 0; j < 50; j ). . img[i*50 j] = f(i, j);. Programming Language Pragmatics. Michael L. Scott. Programming Languages. What programming languages can you name?. Which do you know?. Introduction. Why are there so many programming languages?. evolution -- we've learned better ways of doing things over time. Preconditions . for . Compiler Optimizations. Nuno Lopes. Advisor. : José Monteiro. Automatic. . Synthesis. . of. . Weakest. . Preconditions. for . Compiler. . Optimizations. Expectations for Compilers. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand
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