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» Phoenix: A Runtime Environment for High Performance Computin...
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PDP
2009
IEEE
13 years 11 months ago
Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors
Abstract—Execution of applications on upcoming highperformance computing (HPC) systems introduces a variety of new challenges and amplifies many existing ones. These systems will...
Avneesh Pant, Hassan Jafri, Volodymyr V. Kindraten...
CCGRID
2010
IEEE
13 years 5 months ago
A Map-Reduce System with an Alternate API for Multi-core Environments
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
DAC
2006
ACM
14 years 5 months ago
Prototyping a fault-tolerant multiprocessor SoC with run-time fault recovery
Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high-performance ICs. The advent o...
Xinping Zhu, Wei Qin
EUROPAR
2007
Springer
13 years 8 months ago
Optimizing Chip Multiprocessor Work Distribution Using Dynamic Compilation
How can sequential applications benefit from the ubiquitous next generation of chip multiprocessors (CMP)? Part of the answer may be a dynamic execution environment that automatica...
Jisheng Zhao, Matthew Horsnell, Ian Rogers, Andrew...
ASPDAC
2005
ACM
133views Hardware» more  ASPDAC 2005»
13 years 6 months ago
A novel O(n) parallel banker's algorithm for System-on-a-Chip
This paper proposes a novel O(n) Parallel Banker’s Algorithm (PBA) with a best-case run-time of O(1), reduced from an ¢¤£¦¥¨§© run-time complexity of the original Ban...
Jaehwan John Lee, Vincent John Mooney III