PPT-1 Introduction to application optimizations with usage of

Author : natalia-silvester | Published Date : 2016-02-28

Intel performance tools Andrei Anufrienko Intel Compiler Group The objectives of this course Get a basic understanding of the main factors of the processor

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Intel performance tools Andrei Anufrienko Intel Compiler Group The objectives of this course Get a basic understanding of the main factors of the processor performance base performance improvement techniques. Bruce Worthington. Software Development Manager. Microsoft Corporation. Key Takeaways. Be a leader in advancing 64-bit computing. Adopt best practices and new tools. Let’s partner on new hardware directions. Hossein Falaki, . Ratul. . mahajan. , . Srikanth. . kandula. , . Dimitrios. . Lymberopoulous. , Ramesh Govindan, Deborah . Estrin. .. UCLA, Microsoft, USC. MobiSys. ‘10. . Presented by . Vignesh Saravanaperumal. 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. in . Dyninst. Andrew . Bernat. , Matthew Legendre. Instrumentation is Complicated. User perspective: . “Insert some new code here, here, and here.”. Dyninst’s. perspective:. Relocation. – Move code to make space for instrumentation. and High-Coverage Tests. Presented by Yoni Leibowitz. EXE & KLEE. Automatically Generating Inputs of Death. David Dill. Vijay . Ganesh. Cristian Cadar. Dawson Engler. Peter Pawlowski. KLEE. EXE. Unassisted & Automatic Generation of High-Coverage Tests for Complex System Programs. Building successful apps is hard!. Need for Speed - User retention requires constant improvement in performance & reliability. Constant Evolution - Services & mobile apps need to evolve rapidly to survive & grow. Research at UNT. . . Krishna . Kavi. Professor. Director of NSF Industry/University Cooperative Center . for Net-Centric Software and Systems (Net-Centric IUCRC). Computer Science and Engineering. The University of North Texas. Prof. O. . Nierstrasz. Lecture notes by Marcus . Denker. © Marcus . Denker. Optimization. Roadmap. Introduction. Optimizations in the Back-end. The Optimizer. SSA Optimizations. Advanced Optimizations. Ross Tate. Michael Stepp. Sorin Lerner. University of California, San Diego. Optimizing by Hand. Original. for (i = 0; i < 50; i ). . for (j = 0; j < 50; j ). . img[i*50 j] = f(i, j);. .pptx: http://. tinyurl.com/6y7gy8x (or scan QR code). The . paper: http. ://dl.acm.org/citation.cfm?id=1122414. [1] . http://. www.nic.uoregon.edu/iwomp2005/IWOMP_Photos_Day1/IWOMP_Photos-Images/7.jpg. tool . and parallelization. do {. //get the write lock. . KeAcquireSpinLock. (&. devExt. ->. writeListLock. );. . nPacketsOld. = . nPackets. ; . request = . devExt. ->. WriteListHeadVa. T. Chen, T. Moreau, Z. Jiang, L. Zheng, S. Jiao, E. Yan, H. Shen, M. Cowan, L. Wang, Y. Hu, L. . Ceze. , C. . Guestrin. , and A. Krishnamurthy . Presentation by Grzegorz . 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. and High-Coverage Tests. Presented by Yoni Leibowitz. EXE & KLEE. Automatically Generating Inputs of Death. David Dill. Vijay . Ganesh. Cristian Cadar. Dawson Engler. Peter Pawlowski. KLEE. EXE. Unassisted & Automatic Generation of High-Coverage Tests for Complex System Programs.

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