PDF-[PDF]-Compiler Design Theory

The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand. P. roject Work. Dan Quinlan. Chunhua. . Liao, Peter . Pirkelbauer. Combustion . Exascale. . CoDesign. Center All Hands. March 1, 2012. Overview of ROSE Status. Compiler Optimization for Many-Core NUMA architectures. -- Basic functions. Generally, an independent course, maybe plus one semester on implementation of a compiler.. High level language program .  program in assembly language or object code directly. 14. Self Compilers. Self compilers. We discuss three compilers described in the following documents:. [ChUL89] Craig . Chambers, David . Ungar. , Elgin . Lee: An . Efficient Implementation of SELF - a Dynamically-Typed Object-Oriented Language Based on Prototypes. OOPSLA 1989: . Nuno Lopes . and. José Monteiro. Deriving preconditions by hand is hard; WPs are often non-trivial. WPs derived by hand are often wrong!. Weaker preconditions expose more optimization opportunities. Compilers. Basic compiler Functions . (1). A. . high-level. . programming. . language. . is usually. . described. . in. . terms. . of. . a. . grammar.. This. . grammar. . specifies. . the. Hans-J. Boehm, HP Labs. Presented by . Seema Saijpaul. CS-510. Premise. . Multithreaded programs are often written in languages that are not designed with threading primitives. . Thread support in these languages are added through thread libraries (. Computational . Exascale. Workshop. December 2010. Dan Quinlan. Chunhua. Liao, Justin Too, Robb . Matzke. , Peter . Pirkelbauer. Center for Applied Scientific Computing. Lawrence Livermore National Laboratory. Marc de . Kruijf. Advisor: . Karthikeyan. . Sankaralingam. PhD Defense 07/20/2012. Example. 2. int. sum(. int. *array, . int. . len. ) {. . int. x = 0;. . for. (. int. . i. = 0; . i. < . 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. LIU Xianhua. School of EECS, Peking University. Loops. “Advanced Compiler Techniques”. Content. Concepts:. Dominators. Depth-First Ordering. Back edges. Graph depth. Reducibility. Natural Loops. Efficiency of Iterative Algorithms. (Clang). Technology . presentation. CSE 775 – Project # 2. PRADNYA KHALATE. Spring 2015. Instructor : Dr. . Jim Fawcett. February 26, 2015. Agenda. Project idea. Need of code analysis. Compilation steps. Nuno Lopes . and. José Monteiro. Deriving preconditions by hand is hard; WPs are often non-trivial. WPs derived by hand are often wrong!. Weaker preconditions expose more optimization opportunities.