PPT-Linearly Compressed Pages: A Main Memory Compression Framework

Author : byrne | Published Date : 2024-02-03

with Low Complexity and Low Latency Gennady Pekhimenko Advisers Todd C Mowry and Onur Mutlu Carnegie Mellon University Executive Summary Main memory is a limited

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Linearly Compressed Pages: A Main Memory..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Linearly Compressed Pages: A Main Memory Compression Framework: Transcript


with Low Complexity and Low Latency Gennady Pekhimenko Advisers Todd C Mowry and Onur Mutlu Carnegie Mellon University Executive Summary Main memory is a limited shared resource Observation. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br A Main Memory Compression Framework with . Low Complexity and Low Latency . Gennady Pekhimenko. , . Vivek. . Seshadri. . , . Yoongu. Kim, . Hongyi. . Xin. , . Onur. . Mutlu. , . Todd C. . Mowry. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. (A different focus). Until now we have looked at the equation. w. ith the sole aim of computing its solutions, and. w. e have been quite successful at it, we can describe precisely what we have called . openacc. Ebad. . Salehi. , Ahmad . Lashgar. and . Amirali. . Baniasadi. Electrical and Computer Engineering Department. University of Victoria. This Work. Motivation: Effective memory bandwidth usage is needed to achieve high performance in GPUs.. Shreya. Current Query Methods. Data Scans: Loads file into memory and scans. Column oriented stores. Low memory, high latency. Index based scan: the file is preprocessed and stored in memory with indices.. David Hay . With . Anat Bremler-Barr, Daniel . Krauthgamer. , . Shimrit. . Tzur. David. This research was supported by ERC starting grant 259805. URL Matching. 2. Action . URL. . A1. work. .. com. Sunil Agarwal. Senior Program Manager. Email: sunila@microsoft.com. Microsoft Corporation. SESSION CODE: DAT309. Required Slide. Agenda. Customer Experience and Feedback. Unicode Compression in SQL2008R2. Visually inspect gas cylinders to make sure they are in safe condition. Caps and plugs in place. Damage. labels. BURN. GOUGE. GOUGE. CUT. Pitting due to corrosion. Cylinders are manufactured with reasonably symmetrical. © 2016 Pearson Education, Inc. Linear Equations in Linear Algebra LINEAR INDEPENDENCE Slide 1.7- 2 © 2016 Pearson Education, Inc. LINEAR INDEPENDENCE Definition: A set of vectors { v 1 , …, Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh. is a . lossy compression. method used to . compress images. using . fractals. . The method is best suited for photographs of natural scenes (. trees. , . mountains. , . ferns. , . clouds. ). The fractal compression technique relies on the fact that in certain images, parts of the image resemble other parts of the same image.. Vocabulary alert:. Heuristic.  - a problem solving approach . (algorithm) . to find a satisfactory solution where finding an optimal or exact solution is impractical or impossible. .. Lossless Compression. Qiuping Wang. *. , . Jinhong. Li. *. , Wen Xia. #. Erik . Kruus. ^. , . Biplob. Debnath. ^. , Patrick P. C. Lee. *. *. The Chinese University of Hong Kong (CUHK). #. Harbin Institute of Technology, Shenzhen.

Download Document

Here is the link to download the presentation.
"Linearly Compressed Pages: A Main Memory Compression Framework"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents