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» T: integrated building blocks for parallel computing
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PPAM
2005
Springer
15 years 4 months ago
A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
Pavel Tvrdík, Ivan Simecek
GCC
2003
Springer
15 years 4 months ago
Research on Integrating Service in Grid Portal
With the complexity of applications, researchers need more resources to resolve their computation. It is very important to provide the general interface to access the distributed r...
Zheng Feng, Shoubao Yang, Shanjiu Long, Dongfeng C...
MIDDLEWARE
2005
Springer
15 years 4 months ago
Managing the follow-me semantics to build large-scale pervasive applications
In this paper, we present the concept of follow-me semantics of the large-scale pervasive application and discuss the features and services to its implementation based on the inte...
Iara Augustin, Adenauer C. Yamin, Cláudio F...
HPDC
2002
IEEE
15 years 3 months ago
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists
Many Physics experiments today generate large volumes of data. That data is then processed in a variety of ways in order to achieve the understanding of fundamental physical pheno...
Ewa Deelman, Carl Kesselman, Gaurang Mehta, Leila ...
PPOPP
2010
ACM
15 years 8 months ago
Model-driven autotuning of sparse matrix-vector multiply on GPUs
We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing...
Jee W. Choi, Amik Singh, Richard W. Vuduc