An overview of the BlueGene/L Supercomputer
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
NAMD: biomolecular simulation on thousands of processors
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Blue Matter, an application framework for molecular simulation on blue gene
Journal of Parallel and Distributed Computing - High-performance computational biology
Proceedings of the 13th International Conference on Parallel Architectures and Compilation Techniques
A Performance and Scalability Analysis of the BlueGene/L Architecture
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Unlocking the Performance of the BlueGene/L Supercomputer
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Scaling physics and material science applications on a massively parallel Blue Gene/L system
Proceedings of the 19th annual international conference on Supercomputing
Early performance data on the blue matter molecular simulation framework
IBM Journal of Research and Development
Systems research challenges: a scale-out perspective
IBM Journal of Research and Development
Scaling climate simulation applications on the IBM Blue Gene/L system
IBM Journal of Research and Development
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Blue Gene/L uses a large number of low power processors, together with multiple integrated interconnection networks, to build a supercomputer with low cost, space and power consumption. It uses a novel system software architecture designed with application scalability in mind. However, whether real applications will scale to tens of thousands of processors has been an open question. In this paper, we describe early experience with several applications on a 16,384 node Blue Gene/L system. This study establishes that applications from a broad variety of scientific disciplines can effectively scale to thousands of processors. The results reported in this study represent the highest performance ever demonstrated for most of these applications, and in fact, show effective scaling for the first time ever on thousands of processors.