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What Size Cluster Equals a Dedicated Chip

机译:什么尺寸的群集等于专用芯片

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Poisson-Boltzmann calculations within the framework of the Boundary Element Method [5] are parallelized with MPI. The approach is shown to be numerically accurate and of reasonable computational cost. Parallel performance is investigated on two different types of architectures, a cluster of Alphas ES40, 667 MHz EV67, and an IBM Regatta 690, 1.3 GHz Power 4. The obtained scaling characteristics deviate only slightly from the theoretical scaling due to Amdahl's Law. An alternative version is also implemented that makes use of a specialized chip for the core-calculational part. The raw-performance of this specialized ASIC, MD-GRAPE-2, is compared to the parallel performance gained via MPI. It is estimated that for a medium-sized test-case one would have to operate a parallel machine composed of roughly 330 CPUs to equal the performance of 1 single specialized device.
机译:边界元素方法[5]框架内的Poisson-Boltzmann计算与MPI并行化。 该方法被证明是数值准确的准确性和合理的计算成本。 在两种不同类型的架构上调查了并行性能,alphas ES40,667 MHz EV67和IBM Regatta 690,1.3 GHz电源4。所获得的缩放特性仅略微偏离由于Amdahl的定律导致的理论缩放。 还实施了替代版本,其利用用于核心计算部分的专用芯片。 该专用ASIC的原始性能MD-Grape-2与通过MPI获得的并行性能进行比较。 据估计,对于中型测试案例,一个必须操作由大约330个CPU组成的并联机器,以等于1个单一专用设备的性能。

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