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» Comparing the Optimal Performance of Parallel Architectures
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131
Voted
DATE
2005
IEEE
122views Hardware» more  DATE 2005»
15 years 8 months ago
Resource Sharing and Pipelining in Coarse-Grained Reconfigurable Architecture for Domain-Specific Optimization
Coarse-grained reconfigurable architectures aim to achieve both goals of high performance and flexibility. However, existing reconfigurable array architectures require many resour...
Yoonjin Kim, Mary Kiemb, Chulsoo Park, Jinyong Jun...
132
Voted
HPCA
1997
IEEE
15 years 7 months ago
Global Address Space, Non-Uniform Bandwidth: A Memory System Performance Characterization of Parallel Systems
Many parallel systems offer a simple view of memory: all storage cells are addresseduniformly. Despite a uniform view of the memory, the machines differsignificantly in theirmemo...
Thomas Stricker, Thomas R. Gross
138
Voted
HPCA
2006
IEEE
16 years 3 months ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
212
Voted
HPCA
1999
IEEE
15 years 7 months ago
Comparative Evaluation of Fine- and Coarse-Grain Approaches for Software Distributed Shared Memory
Symmetric multiprocessors (SMPs) connected with low-latency networks provide attractive building blocks for software distributed shared memory systems. Two distinct approaches hav...
Sandhya Dwarkadas, Kourosh Gharachorloo, Leonidas ...
136
Voted
AMC
2006
80views more  AMC 2006»
15 years 2 months ago
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems
A parallel algorithm based on the multidimensional minimization of the Rayleigh quotient is proposed to evaluate the leftmost eigenpairs of the generalized symmetric positive defi...
Luca Bergamaschi, Angeles Martinez, Giorgio Pini