Introduction to Parallel Processing Parallel Computer Architecture: Definition & Broad issues involved A Generic Parallel Computer Architecture The Need And Feasibility of Parallel Computing Scientific Supercomputing Trends CPU Performance and Technology Trends, Parallelism in Microprocessor Generations Computer Syste...
Introduction to Parallel Processing 作者:Behrooz Parhami 出版社:Springer 副标题:Algorithms and Architectures (Series in Computer Science) 出版年:1999-01-31 页数:555 定价:USD 185.00 装帧:Hardcover ISBN:9780306459702 豆瓣评分 目前无人评价 评价:
Parallel processing (Electronic computersIn the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for ...
1.2 Why We're Building Parallel Systems 1.3 Why We Need to Write Parallel Programs 1.4 How Do We Write Parallel Programs? 1.5 What We'll Be Doing 1.6 Concurrent, Parallel, Distributed 1.7 The Rest of the Book 1.8 A Word of Warning ...
SQL Server has the ability to execute queries using multiple CPUs simultaneously. We refer to this capability as parallel query execution. Parallel query execution can be used to reduce the response time of (i.e., speed up) a large query. It can also be used to a run a bigger query (...
Parallelprocessorsarecomputersystemsconsistingofmultipleprocessingunitsconnectedviasomeinterconnectionnetworkplusthesoftwareneededtomaketheprocessingunitsworktogether.Therearetwomajorfactorsusedtocategorizesuchsystems:theprocessingunitsthemselves,andtheinterconnectionnetworkthattiesthemtogether.Theprocessingunitscancommunicateand...
Current parallel processing studies demonstrate that parallelism has the potential to provide solutions to a wide range of computationally intensive problems. Nonetheless, at a time when "supercomputer" is almost a household word, fundamental issues in parallel processing continue to demand attention. ...
Data-parallel processing maps data elements to parallel processing threads. Many applications that process large data sets can use a data-parallel programming model to speed up the computations. In 3D rendering large sets of pixels and vertices are mapped to parallel threads. Similarly, image and ...
55.1.2 Parallel Processing Batch jobs often process large amounts of data or perform computationally expensive operations. Batch applications can benefit from parallel processing in two scenarios. Steps that do not depend on each other can run on different threads. Chunk-oriented steps where the proc...
Learn how to make queries in parallel using PLINQ in .NET. PLINQ stands for parallel Language-Integrated Query (LINQ).