PDF-Peephole Optimization on Intermediate Code

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. (. 2151-1980. ). Cities, Towns, and Villages. Nomes. and . Nomarchs. Deir. El-Medina. The Nomes of Ancient Egypt. Key Terms. nome. nomarch. The First Intermediate Period. (. 2151-1980. ). Manetho’s. Lauren Feinstein . lpf24@cornell.edu. Vladimir . Kovalevsky vk285@cornell.edu. Nicolas . Begasse. . nb442@cornell.edu. Presentation Overview. Optimization Overview. Disc Brake Analysis. Response Surface Optimization. Steven Y. Ko. ,. Imranul. . Hoque. ,. Brian Cho, . and . Indranil. Gupta. Distributed Protocols Research Group (DPRG). University of Illinois at Urbana-Champaign. Our Position. Intermediate data as a first-class citizen . CSE 8330. Instructor: . Dr.Margaret. H. Dunham. Presenter: . Akshaya. . Aradhya. Introduction. Query optimization in XML databases. Query optimization in Parallel databases. Comparison. Conclusion and Future work. Jonathan Hollingshead. Terms used in this presentation. Web page or page – a single document . on the Internet, typically with a single topic. Web site or site – a collection of individual web pages interconnected by hyperlinks. 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. . By . Kyle Patience. Supervisor: Reginald . Dodds. Co Supervisor: . Mehrdad. . Ghaziasgar. Quick Recap. D. evelopment . of an interface that does the following: . A . very large virtual desktop space is imagined to exist, . By . Kyle Patience. Supervisor: . Reg. . Dodds. Co Supervisor: . Mehrdad. . Ghaziasgar. Quick Recap. D. evelopment . of an interface that does the following: . A . very large virtual . screen . is imagined to exist, . Optimization methods help us find solutions to problems where we seek to find the best of something.. This lecture is about how we formulate the problem mathematically.. In this lecture we make the assumption that we have choices and that we can attach numerical values to the ‘goodness’ of each alternative.. 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. Qifeng. Chen. Stanford University. Vladlen. . Koltun. Intel Labs. Optical flow. Motion field between two image frames. Optical flow. Motion field between two image frames. Image 1. Image 2. optical flow. Kadin Tseng. Boston University. Scientific Computing and Visualization. Outline. Introduction. Timing. Example Code. Profiling. Cache. Tuning. Parallel Performance. Code Tuning and Optimization. 2. Introduction. ISCHEMIA Intermediate LM . Substudy. Sripal Bangalore, M.D.. , . John A. . Spertus. , M.D., Susanna R. Stevens, M.S., Philip G. Jones, M.S., G.B. John Mancini, M.D., Jonathon Leipsic, M.D., Harmony R. Reynolds, M.D., Matthew J. .