Slide 1 Power Management Lecture notes S. Yalamanchili and S. Mukhopadhyay Slide 2 (2) Technology Scaling 30% scaling down in dimensions  doubles transistor density Power…

Slide 1 Exascale: Why It is Different Barbara Chapman University of Houston High Performance Computing and Tools Group http://www.cs.uh.edu/~hpctools P2S2 Workshop at ICPP…

4.3.1 Pioneering Applications: Priority Research Directions Criteria for Consideration What will Pioneering Apps do to address the barriers & gaps in associated Priority…

Modeling assertions What? Portable and extensible workload and performance modeling framework Why? Provide an integrated solution to develop, validate, and experiment with…

Performance Optimization Under Thermal and Power Constraints For High Performance Computing Data Centers Osman Sarood PhD Final Defense Department of Computer Science December…

Fault Tolerant Parallel Data Intensive Algorithms Mucahid Kutlu, Gagan Agrawal, Oguz Kurt( Ohio State University) Motivation : The Mean-Time-To-Failure of the systems is…

Diapositiva 1 Turning Control Flow Graphs into Callgraphs Transformation of partitioned codes for execution in heterogeneous architectures PABLO BARRIO TOBIAS KENTER CARLOS…

Mathematics and Computer Science Division MPI at Exascale Rajeev Thakur Mathematics and Computer Science Division Argonne National Laboratory 2 MPI on the Largest Machines…

Last Lecture The Future of Parallel Programming and Getting to Exascale * * The Fastest Supercomputers in the World See www.top500.org Name Reign Location What processors?…

Ultra-Efficient Exascale Scientific Computing Lenny Oliker, John Shalf, Michael Wehner And other LBNL staff Exascale is Critical to the DOE SC Mission “…exascale computing…