PPT-Memory Optimizations for Graphics Processing Units
Author : tatyana-admore | Published Date : 2016-07-08
The material in these slides has been taken from the NVIDIA manuals Best Practices Guide amp Optimizing Matrix Transpose in CUDA and from a paper by Ryoo et al
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Memory Optimizations for Graphics Processing Units: Transcript
The material in these slides has been taken from the NVIDIA manuals Best Practices Guide amp Optimizing Matrix Transpose in CUDA and from a paper by Ryoo et al Ryoo12 See A bit of History in the last slide. 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. 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. Ameet Chitre. Senior Program . Manager. Microsoft Corporation. HW-218T. Agenda. Evolution of the Graphics Driver Model. Enhanced . end-user experiences. Better application . and system . performance. Week 05. TCNJ Dynamic Web Design. Jean Chu. Kinetic Art. Interactive Kinetic Art. http://. suzung.com. /. Flash. Gallery of Computation- Jared . Tarbel. http://. levitated.net/daily/index.html. http://. 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. and CUDA. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Graphics Coprocessor. From the earliest VGA designs, the graphics unit has been designed as a special purpose processor, attached to the CPU using a. Shashwat Shriparv. dwivedishashwat@gmail.com. InfinitySoft. 2. 10/30/2010. Presentation Overview. Definition. Comparison with CPU. Architecture. GPU-CPU Interaction. GPU Memory. 10/30/2010. 3. Why GPU?. Raster Graphics. Also called . bitmap . graphics . Consist of grids of tiny dots called pixels . Have a fixed resolution and cannot be resized without altering image quality. Edited in paint programs . 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 . 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. Overview of resources for selecting optimizationsHow Technical Support can helpUsing optimizations to customize for each patientAn orthotist shares how she chooseoptimizationsOrthotist explains optimi Cued Recall. Recognition. Savings. Implicit / Indirect Memory. Procedural Memory. Declarative Memory. The Information Processing View of Memory. Short Term Memory. Long Term Memory. Episodic Memory. Source Amnesia.
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