Thomas E. Spelce

TL;DR: An approach that creates a heterogeneous decomposition by partitioning effort according to the scaling properties of the component algorithms is reported, which will allow many problems to scale across current and next-generation machines.

TL;DR: The HPC Challenge (HPCC) Benchmark suite and the Intel MPI Benchmark (IMB) are used to compare and evaluate the combined performance of processor, memory subsystem and interconnect fabric of five leading supercomputers.

TL;DR: The HPC Challenge (HPCC) benchmark suite and the Intel MPI Benchmark (IMB) are used to compare and evaluate the combined performance of processor, memory subsystem and interconnect fabric of five leading supercomputers.

TL;DR: This study describes early experience with several physics and material science applications on a 32,768 node Blue Gene/L system, which was installed recently at the Lawrence Livermore National Laboratory and represents the first proof point that MPI applications can effectively scale to over ten thousand processors.

TL;DR: All applications show excellent scaling behavior, even at very large processor counts, with one code even achieving a sustained performance of more than 100 Tflop/s, clearly demonstrating the real success of the BG/L design.