IBM BladeCenter QS22: design, performance, and utilization in hybrid computing systems
IBM Journal of Research and Development
Integrated execution: a programming model for accelerators
IBM Journal of Research and Development
Programming the Linpack benchmark for Roadrunner
IBM Journal of Research and Development
IBM BladeCenter QS22: design, performance, and utilization in hybrid computing systems
IBM Journal of Research and Development
IBM Journal of Research and Development
Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
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In this paper, we discuss the impact of petascale computing and the major issues to getting beyond a petaflops. We describe IBM approaches to petascale computing but with a major focus on the Los Alamos National Laboratory Roadrunner machine. We provide an overview of the hardware and software structures, focusing on the new triblade compute node architecture and the corresponding data control and synchronization software support to enable high-performance computing applications on this architecture. The fundamental technology drivers and issues for petascale computing and beyond are software complexity, energy efficiency, and system reliability, availability, and serviceability.