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Cell processor implementation of a MILC lattice QCD application

机译:mILC晶格QCD应用的单元处理器实现

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摘要

We present results of the implementation of one MILC lattice QCDapplication-simulation with dynamical clover fermions using thehybrid-molecular dynamics R algorithm-on the Cell Broadband Engine processor.Fifty-four individual computational kernels responsible for 98.8% of theoverall execution time were ported to the Cell's Synergistic ProcessingElements (SPEs). The remaining application framework, including MPI-baseddistributed code execution, was left to the Cell's PowerPC processor. Weobserve that we only infrequently achieve more than 10 GFLOPS with any of thekernels, which is just over 4% of the Cell's peak performance. At the sametime, many of the kernels are sustaining a bandwidth close to 20 GB/s, which is78% of the Cell's peak. This indicates that the application performance islimited by the bandwidth between the main memory and the SPEs. In spite of thislimitation, speedups of 8.7x (for 8x8x16x16 lattice) and 9.6x (for 16x16x16x16lattice) were achieved when comparing a 3.2 GHz Cell processor to a single coreof a 2.33 GHz Intel Xeon processor. When comparing the code scaled up toexecute on a dual-Cell blade and a quad-core dual-chip Intel Xeon blade, thespeedups are 1.5x (8x8x16x16 lattice) and 4.1x (16x16x16x16 lattice).
机译:我们介绍了在蜂窝宽带引擎处理器上使用混合分子动力学R算法实现的具有动态三叶草费米子的MILC晶格QCD应用模拟的实现结果,将负责98.8%总体执行时间的54个独立计算内核移植到了单元的协同处理元素(SPE)。其余的应用程序框架(包括基于MPI的分布式代码执行)留给了Cell的PowerPC处理器。我们观察到,我们很少会用任何内核获得超过10个GFLOPS,这只是Cell峰值性能的4%以上。同时,许多内核都维持接近20 GB / s的带宽,这是Cell峰值的78%。这表明应用程序性能受到主内存和SPE之间带宽的限制。尽管有此限制,但在将3.2 GHz Cell处理器与2.33 GHz Intel Xeon处理器的单核进行比较时,仍可实现8.7倍(对于8x8x16x16晶格)和9.6倍(对于16x16x16x16晶格)的加速。当比较按比例放大的代码以在双单元刀片式服务器和四核双芯片Intel Xeon刀片式服务器上执行时,速度分别为1.5倍(8x8x16x16晶格)和4.1倍(16x16x16x16晶格)。

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