PDF-Peephole Optimization on Intermediate Code

Author : briana-ranney | Published Date : 2016-07-07

S TANENBAUM HANS van STAVEREN and JOHAN W STEVENSON Vrije Universiteit Amsterdam The Netherlands portable compilers generate an intermediate code that is subsequently

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Peephole Optimization on Intermediate Code: Transcript


S TANENBAUM HANS van STAVEREN and JOHAN W STEVENSON Vrije Universiteit Amsterdam The Netherlands portable compilers generate an intermediate code that is subsequently translated into the target. Summary, Anti-summary, and . Final . T. houghts. Summary (1) Architecture. Modern architecture designs are driven by energy constraints. Shortening latencies is too costly, so we use parallelism in hardware to increase potential throughput. Programmable Data Planes. Muhammad Shahbaz and Nick Feamster. Princeton University. Data Plane. Need for a Programmable Data Plane. Protocol Independence. . (e.g., GRE, VXLAN, BFD). To enable this, data plane needs to be able to … . spire. Lua. Advanced Scripting techniques. Adrien BERTRAND . (« Adriweb »). Table of Contents. Code Optimization. Lua Performance Benchmarks. Tips and Tricks. Nspire-Lua Specific Things. Advanced techniques in practice. Lua Programming. n. spire. TI. . -. Code optimization . . &. . Alternative Lua Editors. Adrien BERTRAND (« Adriweb »). Table of Contents. Code Optimization. Lua Performance Benchmarks. Tips and Tricks. COMP 520. Final Ranking (Total). A-. Submissions. Group. Patterns submitted. Unsound. Remaining. 1. 88. 0. 88. 2. 70. 8. 62. 3. 41. 5. 36. 4. 36. 4. 32. 5. 90. 1. 89. Sound or unsound?. Constant folding. D. A. Gates. 1. , A. H. Boozer. 2. , T. Brown. 1. , J. Breslau. 1. , D. Curreli. 3. , M. Landreman. 4. , S. A. Lazerson. 1. , . J. Lore. 5. , H. . Mynick. 1. , G.H. Neilson. 1. , N. Pomphrey. 1. , P. . Prof. O. . Nierstrasz. Lecture notes by Marcus . Denker. © Marcus . Denker. Optimization. Roadmap. Introduction. Optimizations in the Back-end. The Optimizer. SSA Optimizations. Advanced Optimizations. Programming Languages. . Performance Patterns, Macros. Zach . Tatlock. Spring 2014. When I was a novice programmer, I spent many hours trying to "speed up" . my code. . One day, after many agonizing attempts at this feat, my . Computer Science & Engineering Department. The University of Connecticut. 371 Fairfield Way, Unit 2155. Storrs, CT 06269-3155. steve@engr.uconn.edu. http://www.engr.uconn.edu/~steve. (860) 486 - 4818. Kadin Tseng. Boston University. Scientific Computing and Visualization. Outline. Introduction. Timing. Example Code. Profiling. Cache. Tuning. Parallel Performance. Code Tuning and Optimization. 2. Introduction. Computer Science & Engineering Department. The University of Connecticut. 371 Fairfield Way, Unit 2155. Storrs, CT 06269-3155. steve@engr.uconn.edu. http://www.engr.uconn.edu/~steve. (860) 486 - 4818. Prof. Gennady . Pekhimenko. University of Toronto. Winter 2018. The content of this lecture is adapted from the lectures of . Todd Mowry and Phillip Gibbons. CSC D70: . Compiler Optimization. Introduction, Logistics. Eran. . Yahav. 1. Reference: . Dragon 6.2,6.3,6.4,6.6 . www.cs.technion.ac.il/~. yahave/tocs2011/compilers-lec08.pptx. 2. You are here. Executable . code. exe. Source. text . txt. Compiler. Lexical. #Certification #Dumps #Certification_exam_Dumps
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