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» An Algebraic Framework for Optimizing Parallel Programs
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SIGARCH
2008
107views more  SIGARCH 2008»
13 years 7 months ago
A lightweight streaming layer for multicore execution
As multicore architectures gain widespread use, it becomes increasingly important to be able to harness their additional processing power to achieve higher performance. However, e...
David Zhang, Qiuyuan J. Li, Rodric Rabbah, Saman A...
EUROPAR
2007
Springer
14 years 1 months ago
Fine Tuning Algorithmic Skeletons
Abstract. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed ap...
Denis Caromel, Mario Leyton
ICS
2001
Tsinghua U.
13 years 12 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy
CODES
2005
IEEE
14 years 1 months ago
SOMA: a tool for synthesizing and optimizing memory accesses in ASICs
Arbitrary memory dependencies and variable latency memory systems are major obstacles to the synthesis of large-scale ASIC systems in high-level synthesis. This paper presents SOM...
Girish Venkataramani, Tiberiu Chelcea, Seth Copen ...
CLUSTER
2006
IEEE
13 years 7 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...