Towards Energy Efficient Scientific Computing

Event Sponsor: 
Mathematics and Computer Science Division Seminar
Start Date: 
May 14 2008 (All day)
Building 221, Conf Rm A216
Argonne National Laboratory
Konrad Malkowski
Speaker(s) Title: 
Postdoctoral Candidate, The Pennsylvania State University
Boyana Norris and Rob Ross

We consider the problem of achieving energy efficient sparse scientific computing by characterizing the interactions between application and architecture attributes toward energy and performance trade-offs. Our goal is to improve the energy efficiency while maintaining or improving application performance. Toward this, we investigate energy and performance improvements at three levels of abstraction: (i) global application workload balancing across multiprocessor nodes, (ii) global inter node opportunities for energy improvements, such as: dynamic voltage frequency scaling (DVFS), interconnect link scaling and just in time computation; and (iii) single node on-chip optimizations for power-aware high performance computing, such as: adaptive hardware selection and novel cache architectures for multi-core processors.

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