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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1 Introduction to application optimizations with usage of: Transcript
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. Hossein Falaki, . Ratul. . mahajan. , . Srikanth. . kandula. , . Dimitrios. . Lymberopoulous. , Ramesh Govindan, Deborah . Estrin. .. UCLA, Microsoft, USC. MobiSys. ‘10. . Presented by . Vignesh Saravanaperumal. Millennial’s. . Source: Nielsen . Total Audience Report 3Q15l; multimedia device-usage of internet connected devices viewing source (includes apple . tv. , . roku. , google . chromecast. , smartphones and audio-video viewing sources (computer/. August 2013. NAVY CEVM. Outline. Price vs. Usage Analysis Concept. Price vs. Usage Analysis . f. ormulas for both labor and material. Labor Price vs. Usage example. Material Price vs. Usage example. Price . 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. Jo Alcock. CILIP Conference 2015. What do we mean by value?. What do we mean by value?. Importance that stakeholders (funding institutions, politicians, the public, users, staff) attach to libraries and which is related to the perception of actual or potential benefit. Tyler Patton. Discussion:. Background. Sequential Optimizations. Parallelization of chess. Backgroun. d. : What is Chess?. Strategic 2 player game. 64 tiles. 16 pieces per player. Objective to capture the. Prof. O. . Nierstrasz. Lecture notes by Marcus . Denker. © Marcus . Denker. Optimization. Roadmap. Introduction. Optimizations in the Back-end. The Optimizer. SSA Optimizations. Advanced Optimizations. Lydia Hofstetter, Georgia Gwinnett College. John Stephens, GALILEO. October 5, 2017. Understanding COUNTER. What is COUNTER?. Why is it important?. How can we use in the library?. What are its limitations?. Balazs Voneki. CERN/EP/LHCb Online group. TIPP2017, Beijing. 23.05.2017. LHCb Upgrade. Early results of RDMA optimizations on top of 100 Gbps . Ethernet, TIPP2017, Beijing, 23.05.2017 . – Balazs Voneki. 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);. 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.
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