PPT-Rethinking Prefetching in GPGPUs:
Author : stefany-barnette | Published Date : 2017-09-04
Exploiting Unique Opportunities Ahmad Lashgar and Amirali Baniasadi ECE Department University of Victoria 1 Overview Prefetching Challenges Prefetching accuracy
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Rethinking Prefetching in GPGPUs:: Transcript
Exploiting Unique Opportunities Ahmad Lashgar and Amirali Baniasadi ECE Department University of Victoria 1 Overview Prefetching Challenges Prefetching accuracy Timeliness Bandwidth control. Hugo Patterson Garth A Gibson Eka Ginting Daniel Stodolsky Jim Zelenka Department of Electrical and Computer Engineering School of Computer Science Carnegie Mellon University Pittsburgh PA 152133890 rhp garth eginting danner jimzcscmu Ahmad Lashgar and . Amirali. . Baniasadi. ECE Department. University of Victoria. Evaluation of . Datatype. Size on GPGPUs. Key Observation:. Smallest . datatypes. . always improve memory efficiency. Others. Matthew . 7:1-6. The . judgmental . attitude. .. Avoid . a judgmental . attitude. .. Make . sure your . standard. is . consistent. .. Rethinking . Others. The judgmental . attitude. .. The judgmental . Tomofumi Yuki . . INRIA . Rennes. Antoine . Morvan. . . ENS . Cachan. Bretagne. Steven . Derrien. . University of Rennes 1. Memory Optimizations. Memory Wall. CMP: 2 or 4 cores, 3.2GHz ROB size: 128 Fetch/Exec/Retire/Commit width: 4 / 7 / 5 / 3 Branch predictor: G-share, 64KB, 4K BTB Branch misprediction penalty: 10 cycles Processor side prefetcher: Stride Adwait Jog. , Onur Kayiran, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravi Iyer, Chita Das . Multi-threading. Caching. Prefetching . Main Memory. . Improve. . Replacement . Policies. Parallelize your code!. Shared-Resource Management. for Multi-Core Systems. Eiman Ebrahimi. *. Chang . Joo. . Lee. *. +. Onur. . Mutlu. ‡. Yale N. . Patt. *. * HPS Research Group . The University of Texas at Austin. in . Early . Literacy Instruction . Rick Chan Frey. University of California, Berkeley. rick@mustardseedbooks.org. . Rethinking the Role of Decodable Texts. My focus: what kind of texts work best to help students learn to read—hard to study. Enhancement . for Accurate Stream Prefetching. Gang Liu. 1. , . Zhuo. Huang. 1. , . Jih. -Kwon Peir. 1. , . Xudong. Shi. 2. , Lu Peng. 3. 1. University of Florida . 2. Google Inc. 3. Louisiana . State . Ganesh. . Dasika. , Kevin Fan. 1. , Scott . Mahlke. 1. Parakinetics, Inc.. University of Michigan. Advanced Computer Architecture Laboratory. The Advent of the GPGPU. Increasingly popular substrate for HPC. . Smruti. R. . Sarangi. Contents. Motivation for Prefetching. Simple Schemes. Recent Work. Proactive Instruction Fetching. Return Address Stack Directed Prefetching. Pentium 4 Trace Cache. University of Virginia. April . 26, . 2016. COMPUTER ARCHITECTURE . CS 6354. Prefetching. The content and concept of this course are adapted from CMU ECE 740. AGENDA. Logistics. Review . from last . lecture. . Smruti. R. . Sarangi. Contents. Motivation for Prefetching. Simple Schemes. Recent Work. Proactive Instruction Fetching. Return Address Stack Directed Prefetching. Pentium 4 Trace Cache. Shimin . Chen. * Phillip B. Gibbons* Suman Nath. +. *Intel Labs Pittsburgh . +. Microsoft Research. Introduction. PCM is an emerging non-volatile memory technology. Samsung is producing a PCM chip for mobile handsets.
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