Models and Metrics to Enable Energy-Efficiency Optimizations Suzanne Rivoire, Stanford University Mehul A. Shah and Parthasarathy Ranganathan, Hewlett-Packard Laboratories Christos Kozyrakis, Stanford University

First Page		Document Content
Date: 2017-05-29 18:44:54 Computing Computer architecture Concurrent computing Central processing unit Parallel computing Computer performance Computers and the environment Microprocessors Performance per watt Benchmark SPECint Standard Performance Evaluation Corporation		Models and Metrics to Enable Energy-Efficiency Optimizations Suzanne Rivoire, Stanford University Mehul A. Shah and Parthasarathy Ranganathan, Hewlett-Packard Laboratories Christos Kozyrakis, Stanford University Add to Reading List Source URL: rivoire.cs.sonoma.edu Download Document from Source Website File Size: 2,06 MB Share Document on Facebook

	CS:APP2e Web Aside ASM:X87: X87-Based Support for Floating Point∗ Randal E. Bryant David R. O’Hallaron June 5, 2012 DocID: 1ru2k - View Document
	Proc. Asia South Pacific Design Automation Conf. (ASP-DAC), Shanghai, China, vol. 1, Jan. 2005, pp. I/2-I/7. Opportunities and Challenges for Better Than Worst-Case Design Todd Austin, Valeria Bertacco, David Blaauw, an DocID: 1rqwy - View Document
	SURF 101 Getting Started with SIMGRID Models Da SimGrid Team April 22, 2014 DocID: 1rnRw - View Document
	Computer Systems A Programmer’s Perspective, Second Edition 1 Randal E. Bryant David R. O’Hallaron January 13, 2010 DocID: 1rmgs - View Document
	Chapter 9 Virtual Memory Processes in a system share the CPU and main memory with other processes. However, sharing the main memory poses some special challenges. As demand on the CPU increases, processes slow down in s DocID: 1rlbN - View Document