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mpi.h - ICTP
mpi.h - ICTP

... – Collective: (Synchronization, Data movement & Reduction) ...
CS2504, Spring`2007 ©Dimitris Nikolopoulos
CS2504, Spring`2007 ©Dimitris Nikolopoulos

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... Chip densities are reaching their physical limits Technological breakthroughs have kept Moore’s law alive Faster and smaller transistors, gates, and circuits on a chip Clock rates of microprocessors increase by ~30% per year ...
PowerPoint Presentation - Introduction to Computer Systems 15
PowerPoint Presentation - Introduction to Computer Systems 15

... Dominate laptop/desktop/server market ...
PowerPoint Presentation - Introduction to Computer Systems 15
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... Dominate laptop/desktop/server market ...
Lecture 1 - DePaul University
Lecture 1 - DePaul University

... “We cannot become knowledgeable in Computer Science by studying only a few topics as isolated subjects or merely by learning how to use the computing tools of today.“ ...
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... Speedups on a grid? • Grids usually are hierarchical - Collections of clusters, supercomputers - Fast local links, slow wide-area links ...
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... an abstract machine providing certain operations to the programming level above and requiring implementations for each of these operations on all of the architectures below. It is designed to separate software-development concerns from effective parallel-execution concerns and provides both abstract ...
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(.ppt)

... • Parallel processing on geographically distributed computing systems (grids) • Examples: - SETI@home ...
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Team 3: IBM

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... The user interface is how the user interacts with the system. This can be provided as part of the operating system or can be a separate program running on top of the operating system. • Windows® uses a graphical user interface (GUI) supplied as part of the operating system. • A GUI uses icons (small ...
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... • An invitation can either be accepted or refused – If refused the person who is trying to organise the meeting will need to try again, and tell everyone who has accepted that the meeting will be changed, etc. – This is a tedious process which can take a long time! ...
Summer Institute for Computing Education
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... ploit information concerning overall system behavior as well as application-specic information gained from static and dynamic analysis to achieve an adaptive resource management. Information is systematically interchanged between all components involved in the management task. It is important to n ...
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Hive Computing - Tribury Media, LLC
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Supercomputer



A supercomputer is a computer with a high-level computational capacity compared to a general-purpose computer. Performance of a supercomputer is measured in floating point operations per second (FLOPS) instead of million instructions per second (MIPS). As of 2015, there are supercomputers which can perform up to quadrillions of FLOPS.Supercomputers were introduced in the 1960s, made initially, and for decades primarily, by Seymour Cray at Control Data Corporation (CDC), Cray Research and subsequent companies bearing his name or monogram. While the supercomputers of the 1970s used only a few processors, in the 1990s machines with thousands of processors began to appear and, by the end of the 20th century, massively parallel supercomputers with tens of thousands of ""off-the-shelf"" processors were the norm. Since its introduction in June 2013, China's Tianhe-2 supercomputer is currently the fastest in the world at 33.86 petaFLOPS (PFLOPS), or 33.86 quadrillions of FLOPS.Supercomputers play an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields, including quantum mechanics, weather forecasting, climate research, oil and gas exploration, molecular modeling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), and physical simulations (such as simulations of the early moments of the universe, airplane and spacecraft aerodynamics, the detonation of nuclear weapons, and nuclear fusion). Throughout their history, they have been essential in the field of cryptanalysis.Systems with massive numbers of processors generally take one of two paths: In one approach (e.g., in distributed computing), a large number of discrete computers (e.g., laptops) distributed across a network (e.g., the Internet) devote some or all of their time to solving a common problem; each individual computer (client) receives and completes many small tasks, reporting the results to a central server which integrates the task results from all the clients into the overall solution. In another approach, a large number of dedicated processors are placed in close proximity to each other (e.g. in a computer cluster); this saves considerable time moving data around and makes it possible for the processors to work together (rather than on separate tasks), for example in mesh and hypercube architectures.The use of multi-core processors combined with centralization is an emerging trend; one can think of this as a small cluster (the multicore processor in a smartphone, tablet, laptop, etc.) that both depends upon and contributes to the cloud.
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