PPT-Code Tuning

Noah Mendelsohn Tufts University Email noahcstuftsedu Web http wwwcstuftsedunoah COMP 40 Machine Structure and Assembly Language Programming Fall 2016 2 Today When amp how to tune. 49 BelAir 103 Levis Qc Canada G6V 6K9 mrueltopcontrolcom Keywords Process Control Optimization Oscilla tion Model PID Control Closed L oop Open Loop Stiction Backlash Non linearity Pseudorandombinary Sequence Generalized Binary Noise ABSTRACT Tradit 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. . Presented . by:. . Rastislav Vajdák. . Senior Test Engineer. . . Oxymat. -Slovakia, s.r.o.. Fine tuning and setting PSA. OC input / output parameters. Tools. Start . o. f system to test . Paolo Romano. Based on ICAC’14 paper. N. . . Diegues. and Paolo Romano. Self-Tuning Intel Transactional Synchronization Extensions. 11. th . USENIX International Conference . on Autonomic Computing (. 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” . 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 . RED. for Web Traffic. Mikkel Christiansen, Kevin Jeffay,. David Ott, Donelson Smith. UNC, Chapel Hill. SIGCOMM 2000, Stockholm. subsequently. IEEE/ACM Transactions on Networking. Vol. 9 ,  No. 3  (June 2001) pp 249 – 264.. Kaushik Datta. Dissertation Talk. December 4, 2009. Motivation. Multicore revolution has produced wide variety of architectures. Compilers alone fail to fully exploit multicore resources. Hand-tuning has become infeasible. Chairs. IETF 79. 1. IGMP/MLD tuning milestone. Are we ready to adopt one of these drafts?. draft-asaeda-multimob-igmp-mld-optimization-04.txt. . draft-wu-multimob-igmp-mld-tuning-03.txt . More specific questions follow. Kadin Tseng. Boston University. Scientific Computing and Visualization. Outline. Introduction. Timing. Example Code. Profiling. Cache. Tuning. Parallel Performance. Code Tuning and Optimization. 2. Introduction. 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 . process that identifies what a student should know and be able to do in a chosen . discipline at the completion of a degree by:. Defining areas of competency. Identifying learning outcomes. Scaling competencies and outcomes to degree level. Tim . Birtwistle. 2. Why ……………………….?. Tuning is a five step process comprised of: . defining the discipline core; . mapping employability; . surveying stakeholders; . honing core competencies and learning outcomes; .