PPT-Code Tuning and Optimization

Kadin Tseng Boston University Scientific Computing and Visualization Outline Introduction Timing Example Code Profiling Cache Tuning Parallel Performance Code Tuning and Optimization 2 Introduction. Every SQL Programmer Should Know. Kevin Kline. . Director of Engineering Services at SQL . Sentry. . Microsoft MVP since 2003. . Facebook, LinkedIn, Twitter at KEKLINE. . KEKline@sqlsentry.com. . 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. When and How to Improve Code Performance?. Ivaylo Bratoev. Telerik Corporation. www.telerik.com. Actual . vs. Perceived Performance. Example: . “Vista's file copy performance is noticeably worse than Windows XP” . Tips for your SalesLogix Web Environment. Agenda. Note:  The tips and tricks provided here are the byproduct of countless implementations and integrations performed by Sage’s Professional Services Group.  These recommendations are shared with product development and technical publications in order to provide a better implementation experience in the future.  Until they are officially documented, please consider them suggestions that have helped in other SalesLogix implementations and may help in yours.. and Evolution - . CSSE 375. Code Tuning. Shawn . and Steve. Left. – Even tuning an ancient instrument like a violin involves multiple steps. Here is fine tuning, being done after coarse tuning has been accomplished using the pegs on the other end.. Kadin Tseng. Boston University. Scientific Computing and Visualization. Serial Performance gain. Due to memory access. Due to caching. Due to vector . representations. Due to compiler. Due to other . 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. . Sergey Tomin. other co-workers: . I. Agapov, G. . Geloni, I. . Zagorodnov. Motivation. How it works. Recent results of empirical tuning at FLASH (model-free optimization). OCELOT . features in beam dynamics simulations . Noah Mendelsohn. Tufts University. Email: . noah@cs.tufts.edu. Web: . http://. www.cs.tufts.edu/~noah. . COMP 40: Machine Structure . and. Assembly Language Programming . (Fall 2016). 2. Today. When & how to tune. 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. The Tuning Process. Benefits of Tuning. Why Tuning is Different. What is Tuning?. A collaborative, faculty-driven . process that . “harmonizes” curricula around defining what a . student should know and be able to do in a chosen . 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. Sergey Tomin. other co-workers: . I. Agapov, G. . Geloni, I. . Zagorodnov. Motivation. How it works. Recent results of empirical tuning at FLASH (model-free optimization). OCELOT . features in beam dynamics simulations .