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ASPLOS
2010
ACM
13 years 9 months ago
An asymmetric distributed shared memory model for heterogeneous parallel systems
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
CCGRID
2010
IEEE
13 years 5 months ago
A Capabilities-Aware Programming Model for Asymmetric High-End Systems
In this research, we investigate and address the challenges of asymmetry in High-End Computing (HEC) systems comprising heterogeneous architectures with varying I/O and computation...
M. Mustafa Rafique
CCGRID
2010
IEEE
13 years 5 months ago
Designing Accelerator-Based Distributed Systems for High Performance
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...
IPPS
2002
IEEE
13 years 9 months ago
Characterizing NAS Benchmark Performance on Shared Heterogeneous Networks
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Jaspal Subhlok, Shreenivasa Venkataramaiah, Amitoj...
HIPS
1998
IEEE
13 years 8 months ago
Parallel and Distributed Programming with Pthreads and Rthreads
This paper describes Rthreads (Remote threads), a software distributed shared memory system that supports sharing of global variables on clusters of computers with physically dist...
Bernd Dreier, Markus Zahn, Theo Ungerer