Some Statistical Performance Estimation Techniques for Dynamic Machines∗ Magne Haveraaen Hogne Hundvebakke Institutt for Informatikk, Universitetet i Bergen, P.O.Box 7800, N-5020 Bergen, Norway

First Page		Document Content
Date: 2002-09-06 09:05:02 Computer performance Load Standard deviation Estimation theory Central processing unit CPU time Benchmark Normal distribution Statistics Data analysis Statistical inference		Some Statistical Performance Estimation Techniques for Dynamic Machines∗ Magne Haveraaen Hogne Hundvebakke Institutt for Informatikk, Universitetet i Bergen, P.O.Box 7800, N-5020 Bergen, Norway Add to Reading List Source URL: www.nik.no Download Document from Source Website File Size: 148,11 KB 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