Processor scheduling algorithms
In parallel computing, work stealing is a scheduling strategy for multithreaded computer programs. It solves the problem of executing a dynamically multithreaded computation, one that can "spawn" new threads of execution, on a statically multithreaded computer, with a fixed number of processors (or cores). It does so efficiently in terms of execution time, memory usage, and inter-processor communication. In a work stealing scheduler, each processor in a computer system has a queue of work items (computational tasks, threads) to perform. Each work item consists of a series of instructions, to be executed sequentially, but in the course of its execution, a work item may also spawn new work items that can feasibly be executed in parallel with its other work. These new items are initially put on the queue of the processor executing the work item. When a processor runs out of work, it looks at the queues of the other processors and "steals" their work items. In effect, work stealing distributes the scheduling work over idle processors, and as long as all processors have work to do, no scheduling overhead occurs. Work stealing contrasts with work sharing, another popular scheduling approach for dynamic multithreading, where each work item is scheduled onto a processor when it is spawned. Compared to this approach, work stealing reduces the amount of process migration between processors, because no such migration occurs when all processors have work to do. The idea of work stealing goes back to the implementation of the Multilisp programming language and work on parallel functional programming languages in the 1980s. It is employed in the scheduler for the Cilk programming language, the Java fork/join framework, the .NET Task Parallel Library, and the Rust Tokio runtime. (Wikipedia).
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From playlist WORK + CAPITALISM
In our society, most people have to have jobs. But what qualifies as a job? How do we determine who is part of the labor force? How has globalization impacted the labor force? We've all heard terms like outsourcing and offshoring, what do those mean? What is a gig economy? Let's get a clos
From playlist Economics
NOTACON 8: Hacking the Workplace: How to Make the Most with the Least
Speaker: Alex Papadimoulis Until someone figures how to hack their way to Free Living (and no, squatting at the parents does not count), we've all got bills to pay. And to pay bills, you need money. And to get money, you need a job. And a job means work... or does it? I've spent most of m
From playlist Notacon 8
The key to finding fulfilling work is to think a lot, analyse one's fears, understand the market, reflect on capitalism. Find out more by attending our one-day workshop "Finding a Fulfilling Job": https://goo.gl/LUB7V8 If you like our films, take a look at our full shop too: https://goo
From playlist WORK + CAPITALISM
Contrary to some expectations, it isn’t only money we want from work. We also need our work to feel ‘meaningful’. But what exactly is meaningful work, and where can we find more of it? Find out more by reading our book "How to find fulfilling work": http://www.theschooloflife.com/shop/how-
From playlist WORK + CAPITALISM
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
It can be deeply painful to be the child of snobs. That is, to be someone who received a kind of love in our formative years that was heavily dependent on our performance, not on our essence. It can be enough to make a mess of our lives, unless we realise - and get on top of - the dynamics
From playlist WORK + CAPITALISM
Some of what makes our working lives especially difficult are those unavoidable features of most offices: colleagues… If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/lBqiU3 Join our mailing list: http://bit.ly/2e0TQNJ Or visit us in person at our Londo
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Scotland Ruby 2011 - Great Developers Steal
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From playlist Scotland Ruby 2011
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Tao B. Schardl View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf This class is focused on the Cilk runtime system. I
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
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From playlist A-Level Philosophy
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From playlist Understanding Free Will - Closer To Truth - Core Topic
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From playlist MIT 6.172 Performance Engineering of Software Systems
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From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
What holds us back from being more confident at work is often a sense that we are fundamentally different from those who succeed. We suffer – needlessly – from The Impostor Syndrome. For gifts and more from The School of Life, visit our online shop: https://goo.gl/CfCf2N Y8c4WM Watch more
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From playlist CMU 21-228 Discrete Mathematics