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# ðŸ“™ Vector models for data-parallel computing by Blelloch G. â€” download pdf

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Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model, ranging from graph algorithms to numerical algorithms, and argues that data-parallel models are not only practical and can be applied to a surprisingly wide variety of problems, they are also well suited for very-high-level languages and lead to a concise and clear description of algorithms and their complexity. Many of the author's ideas have been incorporated into the instruction set and into algorithms currently running on the Connection Machine. The book includes the definition of a parallel vector machine; an extensive description of the uses of the scan (also called parallel-prefix) operations; the introduction of segmented vector operations; parallel data structures for trees, graphs, and grids; many parallel computational-geometry, graph, numerical and sorting algorithms; techniques for compiling nested parallelism; a compiler for Paralation Lisp; and details on the implementation of the scan operations. Guy E. Blelloch is an Assistant Professor of Computer Science and a Principal Investigator with the Super Compiler and Advanced Language project at Carnegie Mellon University. Contents: Introduction. Parallel Vector Models. The Scan Primitives. Computational-Geometry Algorithms. Graph Algorithms. Numerical Algorithms. Languages and Compilers. Correction-Oriented Languages. Flattening Nested Parallelism. A Compiler for Paralation Lisp. Paralation-Lisp Code. The Scan Vector Model. Data Structures. Implementing Parallel Vector Models. Implementing the Scan Operations. Conclusions. Glossary.

## About book:

## About file:

Security code:

- Series:
**Artificial Intelligence** - Author:
**Blelloch G.** - Year:
**1990** - Publisher:
**MIT** - Language:
**English** - ISBN:
**026202313X,9780262023139**

- File size:
**1 219 830** - Format:
**pdf**

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Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model, ranging from...

Digital data is heavily used when generating, storing, and transmitting information, and special codes are used to represent the data and to control its size, reliability, and security. Data coding is therefore a highly important, and indeed increasingly ...

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy...

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions t...

An In-Depth View of Hardware Issues, Programming Practices, and Implementation of Key Methods Exploring the challenges of parallel programming from the perspective of quantum chemists, Parallel Computing in Quantum Chemistry thoroughly covers topics ...

Discover how to streamline complex bioinformatics applications with parallel computingThis publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel...

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and h...

Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technoloÂ gies, played a cen...

This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2013, held in Tokyo, Japan, in September 2012. The 20 revised full papers and two keynote ...

The current Symbian Press list focuses very much on the small scale features of Symbian OS in a programming context. The Architecture Sourcebook is different. It's not a how-to book, it's a 'what and why' book. And because it names names as it unwinds the...

This text is an introduction to the representation theory of the symmetric group from three different points of view: via general representation theory, via combinatorial algorithms, and via symmetric functions. It is the only book to deal with all three ...

Sustainability has become a buzzword in the last decade, but its full meaning is complex, emerging from a range of different sectors. In practice, it has become the springboard for millions of individuals throughout the world who are forging the fastest a...

This clear and well-organized book is an introduction to Spanish syntax that assumes no prior knowledge of current theory. Following a descriptive overview of the major characteristics of the grammar, it describes facts about Spanish, such as its word ord...

20 years after publication, "The Surface of Mars" is still the absolute best starting point for anyone interested in learning the basics about what Mars is like. Chapters describe the channels, craters, volcanoes, history, moons, etc. as best as these t...

20 years after publication, "The Surface of Mars" is still the absolute best starting point for anyone interested in learning the basics about what Mars is like. Chapters describe the channels, craters, volcanoes, history, moons, etc. as best as these t...