L. Steele, Jr., "Data Parallel Algorithms," Commun. ACM 29, 1170-1183 (1986).W. Hillis and G. Steele Jr. Data paral- lel algorithms. Communications of the ACM, 29( 12):1170-1183, December 1986.H. J. Siegel, L. Wang, J. J. E. So, and M. Maheswaran, "Data parallel ...
Parallel Reduction A parallel sum reduction that computes the sum of large arrays of values. This sample demonstrates several important optimization stratezies for parallel algorithms like reduction. or later Download - Windows x86 Download - Windows x64 ...
Data parallel algorithms for the grid generation, the evaluation of the elemental stiffness matrices and for the iterative solution of the linear system are presented. The algorithm for evaluating the elemental stiffness matrices computes the... SL Johnsson,KK Mathur - 《International Journal for Numer...
Hillis WD, Steele GL (1986) Data parallel algorithms. Commun ACM 29:1170–1183 About this Reference Work Entry Title Parallel Computing, Data Parallelism Reference Work Title Encyclopedia of Systems Biology Pages p 1624 Copyright 2013 DOI 10.1007/978-1-4419-9863-7_1028 Print ISBN 978-1-441...
A polyhedral compiler for expressing fast and portable data parallel algorithms - Tiramisu-Compiler/tiramisu
Efficient data-parallel spatial join algorithms for bucket PMR quadtrees and R-trees, common spatial data structures, are given. The domain consists of planar line segment data (i.e., Bureau of the Census TIGER/Line files). Parallel algorithms for map intersection and a spatial range query are...
CUDPP is the CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel-prefix-sum ("scan"), parallel sort and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including...
has been used on both NLP and vision models with SGD and Adam optimizers. As newer models and optimizers emerge, FSDP needs to continue supporting them. Being a purely data-parallel training scheme, FSDP has the greatest potential to be general in supporting a wide range of AI algorithms. ...
In this column, we’ll take a look at nine reusable data structures and algorithms that are common to many parallel programs and that you should be able to adapt with ease to your own .NET software. Each example is accompanied by fully working, though not completely hardened, tested, and ...
(2002). Parallel Algorithms for Mining Association Rules in Time Series Data. CS24-2002-1 Tech report.Sarker, B.K., Mori, T., Uehara, K., 2003. Parallel algorithms for mining association rules in time series data. In: Proceedings of the International Symposium on Parallel and Distributed ...