PPT-Parallel

Performance Theory 1 Parallel Computing CIS 410 510 Department of Computer and Information Science Outline Performance scalability Analytical performance measures Amdahl s law and Gustafson. When you use parallel structure you increase the readability of your writing by creating word patterns readers can follow easily Understanding Parallel Structure Parallel structure also called parallelism is the repe tition of a chosen grammatical f Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr  Rick Molloy. . Program Manager. Microsoft Corporation. TL25. Motivation and Hard Problems. Comprehensive Solutions. Native Concurrency Platform in Visual Studio 2010. Concurrency Runtime. Parallel Pattern Library. Dr. Guy Tel-. Zur. Lecture 10. Agenda. Administration. Final presentations. Demos. Theory. Next week plan. Home assignment #4 (last). Final Projects. Next Sunday: Groups 1-1. 6. will present. Next Monday: Groups 1. Programming & Cluster Computing. Applications and. Types of Parallelism. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. with . OpenMP. © Dan Negrut, . 2012. UW-Madison. Dan Negrut. Simulation-Based Engineering . Lab. Wisconsin Applied Computing Center. Department of Mechanical . Engineering. Department of . Electrical and Computer Engineering. 6/16/2010. Parallel Performance. 1. Performance Considerations. I parallelized my code and …. The code slower than the sequential version, or. I don’t get enough speedup . What should I do?. 6/16/2010. Task Scheduling in Heterogeneous . Computing . Environments . Senior Design Students: Christopher . Blandin. . and Dylan . Machovec. Post-doctoral Scholar: Bhavesh Khemka. Faculty Advisor: H. J. Siegel. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. A View from Berkeley. Dave Patterson. Parallel Computing Laboratory. U.C. Berkeley. July, 2008. Outline. What Caused the Revolution?. Is it an Interesting, Important Research Problem or Just Doing Industry’s Dirty Work?. By: Nabi Wahedun, Reed Scheinberg, Youssif Hassan. Brief Information. Spoke to 10 customers. Our product is a new design for the wheels of cars. The wheels turn . sideways. , at a 90 degree angle, allowing cars to ‘slide in’ to parking spaces. Our product alleviates the pains with parallel parking, such as fitting into smaller parking spaces, needing to look behind you while parking, and stopping traffic behind you for long periods of time.. Inside a Processor. Chip in Package. Circuits. Primarily Crystalline Silicon. 1 mm – 25 mm on a side. 100 million to billions of transistors. current “feature size” . (process). ~ 14 nanometers. Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( We will Study …. Concurrency . Parallelism. Distributed computing. Evaluation. Assignments 40%, . Minor-1 15%, . Minor-2 15%, . Major 30%. Plagiarism is unacceptable. Offenders will be . penalized by a failing.