PPT-Profiling & Tuning

Applications CUDA Course July 2125 István Reguly Introduction Why is my application running slow Work it out on paper Instrument code Profile it NVIDIA Visual Profiler Works with CUDA needs some tweaks to work with . Bell . Larus. Profiling. Profiles . Intra. Procedural, . Acyclic. Paths. DAG. . G. from the . CFG. Idea: Assign weights to the edges of . G . s.t.. the . pathIds. (which are the sums of the . wts. 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 (. Integrated Energy. Low/No Cost Solutions through Building Automation System Control Technologies. James Goddard and Danny Taasevigen. Pacific Northwest National Laboratory. August 13, 2015. A . systematic process to identify and correct building operational problems that lead to energy waste. Part 1: Scaling Up. Sander Temme <sander@temme.net>. 2. “Apache is a general webserver, which is designed to be correct first, and fast second. Even so, its performance is quite satisfactory. Most sites have less than 10Mbits of outgoing bandwidth, which Apache can fill using only a low end Pentium-based webserver.”. 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” . CMOS. Advisor: Dr. . Adit D. Singh. Committee members: Dr. . Vishwani. D. . Agrawal. and Dr. . . Victor P. Nelson. Department of Electrical and Computer Engineering. Masters P. roject . D. efense . 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 . S. liding Mode Control. Application of an Auto-Tuning Neuron. to Sliding Mode Control. Wei-Der Chang, Rey-Chue Hwang, and Jer-Guang . Hsieh. IEEE . TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 32, NO. 4, NOVEMBER . + . Also Affiliated with NSF Center for High-Performance Reconfigurable Computing . Tosiron Adegbija. 1. , Ann Gordon-Ross. 1+. ,. . and . Arslan. Munir. 2. 1. Department . of Electrical and Computer . Summer 2011. PRE-SEASON CAMP. Performance Profiling. Performance profiling raises your awareness about the required attributes to be successful in your position. . It also allows you to identify your strengths and some areas to work on. . Mehrzad Samadi. 1. , Janghaeng Lee. 1. , D. Anoushe Jamshidi. 1. , Amir Hormati. 2. , and Scott Mahlke. 1. University of Michigan. 1. , Google . Inc.. 2. December 2013. Compilers creating custom processors. End Racial Profiling Campaign. DRUM (. Desis. Rising Up and Moving). In partnership with Rights Working Group. Julie . Teuber. Debbie . Campbell. Definition of Racial Profiling. . The . Department of Justice . 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 . Daimeng Zhang, . Melissa . Trepanier. , Oleg . Mukhanov. ,. . Steven . M. Anlage. NSF-GOALI ECCS-1158644. Fall 2013 MRS Meeting. 2 December, 2013. Phys. Rev. X (in press); arXiv:1308.1410. Outline. Brief Introduction to Superconducting Metamaterials and SQUIDs.