Affiliation:
1. WAran Research FoundaTion (WARFT), Chennai, India
2. WARFT
3. Former WARFT
Abstract
In part-I, a novel multi-core node architecture was proposed which when employed in a cluster environment would be capable of tackling computational complexity associated with wide class of applications. Furthermore, it was discussed that by appropriately scaling the architectural specifications, Teraops computing power could be achieved at the node level. In order to harness the computational power of such a node, we have developed an efficient application execution model with a competent cluster architectural backbone. In this paper we present the novel cluster paradigm, dealing with operating system design, parallel programming model and cluster interconnection network. Our approach in developing the competent cluster design revolves around an execution model to aid the execution of multiple applications simultaneously on all partitions of the cluster, leading to cost sharing across applications. This would be a major initiative towards achieving Cost-Effective Supercomputing.
Publisher
Association for Computing Machinery (ACM)
Reference15 articles.
1. Adolfy Hoisie et. al "Performance Comparison Through Benchmarking and Modeling of Three Leading Supercomputers: Blue Gene/L Red Storm and Purple" in Supercomputing Conference 2006 (SC '06) 10.1145/1188455.1188534 Adolfy Hoisie et. al "Performance Comparison Through Benchmarking and Modeling of Three Leading Supercomputers: Blue Gene/L Red Storm and Purple" in Supercomputing Conference 2006 (SC '06) 10.1145/1188455.1188534
2. Peter Hildebrand (Chair) Warren Wiscombe (Science Lead) et. al "Earth Science Vision 2030 Predictive Pathways for a Sustainable Future" NASA Working Group Report Peter Hildebrand (Chair) Warren Wiscombe (Science Lead) et. al "Earth Science Vision 2030 Predictive Pathways for a Sustainable Future" NASA Working Group Report
3. Future generation supercomputers I
4. David H. Bailey Allan Snavely "Performance Modeling: Understanding the Present and Predicting the Future" in Lawrence Berkeley National Laboratory (University of California) Year 2005 David H. Bailey Allan Snavely "Performance Modeling: Understanding the Present and Predicting the Future" in Lawrence Berkeley National Laboratory (University of California) Year 2005
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1 articles.
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1. Future generation supercomputers I;ACM SIGARCH Computer Architecture News;2007-12