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» Nested data-parallelism on the gpu
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CONPAR
1994
13 years 10 months ago
A Software Architecture for Multidisciplinary Applications: Integrating Task and Data Parallelism
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scienti c and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
CLUSTER
2011
IEEE
12 years 6 months ago
Exploring Fine-Grained Task-Based Execution on Multi-GPU Systems
Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU...
Long Chen, Oreste Villa, Guang R. Gao
LCR
1998
Springer
109views System Software» more  LCR 1998»
13 years 10 months ago
Expressing Irregular Computations in Modern Fortran Dialects
Abstract. Modern dialects of Fortran enjoy wide use and good support on highperformance computers as performance-oriented programming languages. By providing the ability to express...
Jan Prins, Siddhartha Chatterjee, Martin Simons
PLDI
2011
ACM
12 years 9 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
ICPADS
2010
IEEE
13 years 4 months ago
GMH: A Message Passing Toolkit for GPU Clusters
Driven by the market demand for high-definition 3D graphics, commodity graphics processing units (GPUs) have evolved into highly parallel, multi-threaded, many-core processors, whi...
Jie Chen, William A. Watson III, Weizhen Mao