论文标题
对于Petascale前均匀的超级计算机，仍未解决的高性能计算挑战
Still Unsolved High-Performance Computing Challenges for up to Pre-Petascale Homogeneous Supercomputers
论文作者
论文摘要
前外部高性能计算机（HPC）可以根据Hplinpack基准获得超过400个Pflop/s真实的表现。对于纳米科学和量子生物学，基于量子物理算法的这些程序代码的要求很难理想地并行化。此类并行代码在Terascale Performance Clus-ter上达到了局限性。标准的AMDAHL法律建议对代码并行化的建议使对平行代码开发的下一步的关注和计划变得复杂。在本报告中，我们关注一个高度可行的三个关键应用领域：HPC基准，量子组合模拟器和CAR-Parinello分子动力学。根据结果，我们总结了Amdahl的定律和并行加速性能成就，并使用Petascale Precenene HPC硬件进行超级计算机。我们作为一台通用计算机得出结论，彼得萨斯舞预先计算的性能均匀硬件仍然具有基本的挑战，研究人员或开发人员必须有效地使用它们才能使用它们。
Pre-exascale High Performance Computers (HPC) can reach more than 400 Pflop/s real perfor-mance according the HPLinpack benchmarks. For nanoscience and quantum biology there are requirements for those program codes based on quantum physics algorithms which is difficult to ideally parallelize. Such parallel codes reach their limitations at terascale performance clus-ters. The standard Amdahl's law suggestions for code parallelization complicates focusing and planning for the next step the parallel code developments. In this report we focused on a three key applications domain which are highly parallelizable: HPC benchmarks, quantum compu-ting simulators and Car-Parinello molecular dynamics. According the results we summarize the Amdahl's Law & Parallel Speedup performance achievements with supercomputer with pre-petascale homogeneous HPC hardware. We conclude as an universal computer the pre-petascale supercomputing performance homogeneous hardware still has the basic challeng-es which must be addressed by the researchers or developer in order efficiently to use them.
