PPT-Cache Optimization Summary

Technique MR MP HT Complexity Larger Block Size 0 Higher Associativity 1 Victim Caches 2 PseudoAssociative Caches 2 HW Prefetching of InstrData 2 Compiler Controlled Prefetching . Message Passing Sharedmemory single copy of shared data in memory threads communicate by readingwriting to a shared location Messagepassing each thread has a copy of data in its own private memory that other threads cannot access threads communicate Applications. Komal Kasat. Gaurav Chitroda. Nalini Kumar. Outline . Introduction. MPEG-4. Architecture. Simulation. Results . Conclusion. INTRODUCTION. Multimedia. Combination of graphics, video, audio. ENCODER. EEL 6935 Embedded Systems. Long Presentation 2. Group Member: Qin Chen, Xiang Mao. ECE@UFL. 4/2/2010. 1. Outline. Design goals and challenges. Video encoding basics. Memory/cache optimization. with Inclusive Caches . Temporal Locality Aware (TLA) Cache Management Policies. Aamer Jaleel, Eric Borch, Malini Bhandaru,. Simon Steely Jr., Joel Emer. In International Symposium on Microarchitecture (MICRO). Varun. . Mathur. Mingwei. Liu. 1. I-cache and address tag . Instruction cache has. Large chip area. High access frequency=>switching power. Example:. Direct mapped I-cache. 1024 entries (=>1024 one way sets). Jan Reineke. j. oint work with Andreas Abel. . . Uppsala University. December 20, 2012 . The Timing Analysis Problem. Embedded Software. Timing Requirements. ?. Microarchitecture. +. What does the execution time of a program depend on?. Mark Gebhart. 1,2 . Stephen W. Keckler. 1,2. Brucek Khailany. 2. Ronny Krashinsky. 2. . William J. Dally. 2,3. 1. The University of Texas at Austin . 2. NVIDIA . 3. Stanford University. Methodology. using Per-Instruction Working Blocks. Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , and . Scott . Mahlke. 1. 1. 1. University . of . Michigan, . Ann . Arbor. 2. Hongik University. Inter-thread Interference. Matthew D. . Sinclair et. al. UIUC. Presenting by. Sharmila. . Shridhar. SoCs. Need an . Efficient Memory Hierarchy. 2. Energy-efficient memory hierarchy is . essential. Heterogeneous . SoCs. use . Kepler. Zehuan Wang. zehuan@nvidia.com. Fundamental Optimization. Optimization Overview. GPU . a. rchitecture. Kernel optimization. Memory optimization. Latency optimization. Instruction . optimization. Smruti R. Sarangi, IIT Delhi. Contents. Overview of the Directory Protocol. Details. Optimizations. Basic Idea of a Coherence Protocol. Memory Level . n. Memory Level . n+2. Private Cache. Private Cache. Smruti R. Sarangi, IIT Delhi. Contents. Overview of the Directory Protocol. Details. Optimizations. Basic Idea of a Coherence Protocol. Memory Level . n. Memory Level . n+2. Private Cache. Private Cache. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Simple View of Memory. The simplest view of memory is . that presented . at the ISA (Instruction Set Architecture) level. At this level, memory is a . Michael Kantor. CEO and Founder . Promotion Optimization Institute (POI). First Name. Last Name. Company. Title. Denny. Belcastro. Kimberly-Clark. VP Industry Affairs. Pam. Brown. Del Monte. Director, IT Governance & PMO.