Processor sharing or egalitarian processor sharing is a service policy where the customers, clients or jobs are all served simultaneously, each receiving an equal fraction of the service capacity available. In such a system all jobs start service immediately (there is no queueing). The processor sharing algorithm "emerged as an idealisation of round-robin scheduling algorithms in time-shared computer systems". (Wikipedia).
In this video, you’ll learn more about the sharing economy. Visit https://www.gcflearnfree.org/using-the-web-to-get-stuff-done/what-is-the-sharing-economy/1/ for our text-based lesson. This video includes information on: • An explanation of the sharing economy • Examples of the sharing ec
From playlist The Sharing Economy
Computer Basics: What Is a Computer?
Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0
From playlist Starting out with Technology
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From playlist The Sharing Economy
Computer Literacy - (unit 4) - the internet - 2 of 4
Forth unit of a series for newbie computer users. See http://proglit.com/computer-skills/ for additional information and material.
From playlist Computer Literacy - (unit 4) - the internet
WebAssembly: The What, Why and How
WebAssembly is a portable, size, and load-time efficient binary format for the web. It is an emerging standard being developed in the WebAssembly community group, and supported by multiple browser vendors. This talk details what WebAssembly is, the problems it is trying to solve, exciting
From playlist Talks
Lec 5 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 5: Parallel programming concepts License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf This lecture covers modern multi-core processors, the
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
Scalable Parallel Programming with CUDA on Manycore GPUs
February 27, 2008 lecture by John Nickolls for the Stanford University Computer Systems Colloquium (EE 380). John Nickolls from NVIDIA talks about scalable parallel programming with a new language developed by NVIDIA, CUDA. NVIDIA's programming of their graphics processing unit in para
From playlist Lecture Collection | Computer Systems Laboratory Colloquium (2007-2008)
NOTACON 9: Collaboration. You keep using that word... (EN) | Enh. audio
Speaker: Angela Harms Sure. You collaborate every day at work, right? Except you don't. Because collaboration is not the same as cooperation. Cooperation is where everybody does their part. Collaboration creates a solution that's more than the sum of those parts. Cooperation helps us cho
From playlist Notacon 9
Online Parallel Paging and Green Paging
Abstract: The parallel paging problem captures the task of efficiently sharing a cache among multiple parallel processors. Whereas the single-processor version of the problem has been well understood for decades, it has remained an open question how to find optimal algorithms for the multi
From playlist SIAG-ACDA Online Seminar Series
Lec 3 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 3: Introduction to parallel architectures License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
Programming Languages - (part 1 of 7)
How source code becomes a running program, how languages are categorized, and a survey of important languages. Part of a larger series teaching programming. Visit http://codeschool.org
From playlist Programming Languages
Hands-on Session: Clustered Many-core Computing with CPUs + GPUs, Part 2 - William Dorland
Hands-on Session: Clustered Many-core Computing with CPUs + GPUs, Part 2 William Dorland University of Maryland July 20, 2009
From playlist PiTP 2009
Future Evolution of High-Performance Microprocessors
September 27, 2006 lecture by Norm Jouppi for the Stanford University Computer Systems Colloquium (EE 380). The evolution of high-performance microprocessors has recently gone through a significant inflection point; such issues will be discussed, as well as the likely future of high per
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Networking