PPT-CSC D70: Compiler Optimization

Register Allocation Prof Gennady Pekhimenko University of Toronto Winter 2018 The content of this lecture is adapted from the lectures of Todd Mowry and Phillip Gibbons Announcements Midterm results. Hollingsw orth Univ ersit of Maryland Univ ersit of Utah Departmen of Computer Science Sc ho ol of Computing College ark MD 20740 Salt Lak Cit UT 84112 tiw ari hollings csumdedu unc hen mhall csutahedu Univ ersit of Southern California Information S Compilers. Basic compiler Functions . (1). A. . high-level. . programming. . language. . is usually. . described. . in. . terms. . of. . a. . grammar.. This. . grammar. . specifies. . the. Computational . Exascale. Workshop. December 2010. Dan Quinlan. Chunhua. Liao, Justin Too, Robb . Matzke. , Peter . Pirkelbauer. Center for Applied Scientific Computing. Lawrence Livermore National Laboratory. Or, How much wood could a woodchuck chuck if a woodchuck could chuck . n. pieces of wood in parallel?. Wojtek Rajski, Nels Oscar, David Burri, Alex Diede. Introduction. We have seen how to improve performance through exploitation of:. By Namita Dave. Overview. What are compiler optimizations?. Challenges with optimizations. Current Solutions. Machine learning techniques. Structure of Adaptive compilers. Introduction. O. ptimization . Compilers. Basic compiler Functions . (1). A. . high-level. . programming. . language. . is usually. . described. . in. . terms. . of. . a. . grammar.. This. . grammar. . specifies. . 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. 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);. 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);. 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. Pointer Analysis. Prof. Gennady . Pekhimenko. University of Toronto. Winter 2018. The content of this lecture is adapted from the lectures of . Todd Mowry, Greg . Steffan. , and Phillip Gibbons. Basics. 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);. T. Chen, T. Moreau, Z. Jiang, L. Zheng, S. Jiao, E. Yan, H. Shen, M. Cowan, L. Wang, Y. Hu, L. . Ceze. , C. . Guestrin. , and A. Krishnamurthy . Presentation by Grzegorz . The first appearanceof LLVM in Xojo was when we started using itto compile and run XojoScript code 2010 Laterwe used LLVM to build iOS apps 2014 64bit apps for x86 Windows MacOS Linux and 32bit apps f