PPT-Performance Optimizations

Author : luanne-stotts | Published Date : 2016-12-10

in Dyninst Andrew Bernat Matthew Legendre Instrumentation is Complicated User perspective Insert some new code here here and here Dyninsts perspective Relocation

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Performance Optimizations: Transcript

in Dyninst Andrew Bernat Matthew Legendre Instrumentation is Complicated User perspective Insert some new code here here and here Dyninsts perspective Relocation Move code to make space for instrumentation. 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. 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,. 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. 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. 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);. 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. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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