Abstract
The Blue Gene/L supercomputer will use system-on-a-chip integration and a highly scalable cellular architecture. With 65,536 compute nodes, Blue Gene/L represents a new level of complexity for parallel system software, with specific challenges in the areas of scalability, maintenance and usability. In this paper we present our vision of a software architecture that faces up to these challenges, and the simulation framework that we have used for our experiments. © Springer-Verlag 2003.
Cite
CITATION STYLE
Almási, G., Bellofatto, R., Brunheroto, J., Caşcaval, C., Castanos, J. G., Ceze, L., … Strauss, K. (2004). An overview of the blue gene/L system software organization. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2790, 543–555. https://doi.org/10.1007/978-3-540-45209-6_79
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