This course examines the current techniques for design and development of parallel programs targeted for platforms ranging from multicore ... Abstractions and algorithms for parallel program design: ...

Abstractions and algorithms for parallel program design: task vs. data parallelism, scalable parallelism, reduce and scan, work assignment 5. Practical programming: message passing, Pilot library, ...

Simple way to parallel program Sept. 14, 2006 Supercomputers often conjure up images of government labs with racks of processors and little concern for budgets.

The development of high-level algebra-algorithmic tools for automated parallel program design for a distributed dynamically scalable fault-tolerant computing platform is proposed. The usage of the ...

Image compression is a kind of data compression technology. The aim of image compression is to reduce redundant information in image data. However, most image compression algorithms have problems such ...

The concept of parallel processing was first discussed in Chapter 7, “Data Integration Logical Design,” while discussing the partitioning of staged data. Parallel processing is the ability to break ...

Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication “channels” to form a ...

Design Patterns for Decomposition and Coordination on Multicore Architectures Colin Campbell and Ade Miller. Forewords by Tony Hey and Herb Sutter. A book that introduces C++ programmers to patterns ...

This work develops new techniques within Horovod, a generic communication library supporting data parallel training across deep learning frameworks. In particular, we improve the Horovod control plane ...

We report on the design and implementation of Naiad, a set of declarative data-parallel language extensions and an associated runtime supporting efficient and composable incremental and iterative ...