PDF-A Coldness Metric for Cache Optimization Raj Parihar Chen Ding Michael C

Huang Dept of Electrical Computer Engineering Dept of Computer Science University of Rochester Rochester NY 14627 USA pariharece cdingcs michaelhuang rochesteredu Abstract A hot concept in program optimization is hotness For example program optimiz. 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 1 Warmth and Coldness Living things are sensitive to warmth and coldness ey need a certain amount of warmth to survive Humans keep warm by wearing clothes performing physical activities and burning various fuels i 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. Technique MR MP HT Complexity. Larger Block Size + – . 0. Higher Associativity + – 1. Victim Caches + 2. Pseudo-Associative Caches + 2. HW Prefetching of Instr/Data + 2. Compiler Controlled Prefetching + . Computer Systems Programming. Compiler and Optimization (I). Ding Yuan. ECE Dept., University of Toronto. http://www.eecg.toronto.edu/~yuan. Content. Compiler Basics. Understanding Compiler Optimization. Kepler. Zehuan Wang. zehuan@nvidia.com. Fundamental Optimization. Optimization Overview. GPU . a. rchitecture. Kernel optimization. Memory optimization. Latency optimization. Instruction . optimization. Isaiah. . 9:1-7. (ESV). But . there will be no . gloom. for . her. who was in . anguish. . (9:1). (ESV). But . there will be no. gloom for her who was in anguish. . (9:1). In the . former time. he brought into contempt the land of . Why it works: The principle of locality. How it . works. : The architectural details. Von Neumann Architecture. Cost/performance analysis is a constant theme in computer engineering ‒ which is why the proper choice of performance metric is important. Training and Development. Training and Development both involve learning.. Training facilitates learning about procedures; Development facilitates transformational learning.. A learning is cognitive, behavioral, and emotional change through reflection on an experience.. With a superscalar, we might need to accommodate more than 1 per cycle. Typical server and . m. obile device. memory hierarchy. c. onfiguration with. b. asic sizes and. access times. PCs and laptops will. Direct-mapped caches. Set-associative caches. Impact of caches on performance. CS 105. Tour of the Black Holes of Computing. Cache Memories. C. ache memories . are small, fast SRAM-based memories managed automatically in hardware. a.k.a. “Pore bearers,” or sponges. http://www.southerncrafter.com/Bath Puff Sponges Assorted.gif. http://www.southerncrafter.com/Bath Puff Sponges Assorted.gif. Campbell, Neil A., and Jane B. Reece. . TLC: A Tag-less Cache for reducing dynamic first level Cache Energy Presented by Rohit Reddy Takkala Introduction First level caches are performance critical and are therefore optimized for speed. Modern processors reduce the miss ratio by using set-associative caches and optimize latency by reading all ways in parallel with the TLB(Translation Lookaside Buffer) and tag lookup. B.Sc. 1970 PUNJAB UNIVERSITY M.B.B.S. 1974 HIMACHAL PRADESH UNIVERSITY,SHIMLA. M.S. (Orth