The MicroGrid: a scientific tool for modeling computational gridsr
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
A Benchmark Suite for SOAP-based Communication in Grid Web Services
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
GangSim: a simulator for grid scheduling studies
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Benchmarking XML processors for applications in grid web services
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
An End-to-End Web Services-Based Infrastructure for Biomedical Applications
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
A Parallel Approach to XML Parsing
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Performance impact of resource conflicts on chip multi-processor servers
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
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The microprocessor industry is rapidly moving towards chip multi-processors (CMPs), commonly referred to as multi-core processors, where multiple cores can independently execute different threads. This change in computer architecture requires corresponding design modifications in programming paradigms, including grid middleware tools, to harness the opportunities presented by multi-core processors. Naive implementations of grid middleware on multi-core systems can severely impact performance because of limitations of shared bus bandwidth, cache size and coherency, and communication between threads. The goal of developing an optimized multi-threaded grid middleware for emerging multi-core processors will be realized only if researchers and developers have access to an in-depth analysis of the impact of several low level microarchitectural parameters on performance. None of the current grid simulators and emulators provide feedback at the microarchitectural level, which is essential for such an analysis. We describe the initial design and implementation of an emulation framework, Multi-core Grid (McGrid), to analyze and provide insightful feedback on the performance limitations, bottlenecks, and optimization opportunities for grid middleware on multi-core systems. We describe early performance results of emulating the processing of some representative XML based grid documents on multi-core nodes using the McGrid framework.