Complex version of high performance computing LINPACK benchmark (HPL)

نویسندگان

  • R. F. Barrett
  • T. H. F. Chan
  • Eduardo F. D'Azevedo
  • E. F. Jaeger
  • K. Wong
  • R. Y. Wong
چکیده

This paper describes our effort to enhance the performance of the AORSA fusion energy simulation program through the use of High Performance LINPACK (HPL) benchmark, commonly used in ranking the top 500 supercomputers. The algorithm used by HPL, enhanced by a set of tuning options, is more effective than that found in the ScaLAPACK library. Retrofitting these algorithms, such as look-ahead processing of pivot elements, into ScaLAPACK is considered a major undertaking. Moreover, HPL is configured as a benchmark, and only for real-valued coefficients. We therefore developed software to convert HPL for use within an application program that generates complex coefficient linear systems. Although HPL is not normally perceived as part of an application, our results show the modified HPL software brings a significant increase in performance of the solver when simulating the highest resolution experiments thus far configured, achieving 87.5 TFLOPS on over 20,000 processors on the Cray XT4.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward a New Metric for Ranking High Performance Computing Systems 1 June 10 , 2013

. The High Performance Linpack (HPL), or Top 500, benchmark [1] is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important science and engineering applications. In this paper we describe a new high performance conjugate gradient (HPCG) ben...

متن کامل

Toward a New Metric for Ranking High Performance Computing Systems

. The High Performance Linpack (HPL), or Top 500, benchmark [1] is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important science and engineering applications. In this paper we describe a new high performance conjugate gradient (HPCG) ben...

متن کامل

A CUDA Implementation of the High Performance Conjugate Gradient Benchmark

The High Performance Conjugate Gradient (HPCG) benchmark has been recently proposed as a complement to the High Performance Linpack (HPL) benchmark currently used to rank supercomputers in the Top500 list. This new benchmark solves a large sparse linear system using a multigrid preconditioned conjugate gradient (PCG) algorithm. The PCG algorithm contains the computational and communication patt...

متن کامل

Optimizing process allocation of parallel programs for heterogeneous clusters

The performance of a conventional parallel application is often degraded by load-imbalance on heterogeneous clusters. Though it is simple to invoke multiple processes on fast PEs to alleviate loadimbalance, the optimal process allocation is not obvious. Kishimoto and Ichikawa presented performance models for HPL (High Performance Linpack), with which the sub-optimal configurations of heterogene...

متن کامل

Deskilling HPL Using an Evolutionary Algorithm to Automate Cluster Benchmarking

The High-Performance Linpack (HPL) benchmark is the accepted standard for measuring the capacity of the world’s most powerful computers, which are ranked twice yearly in the Top 500 List. Since just a small deficit in performance can cost a computer several places, it is important to tune the benchmark to obtain the best possible result. However, the adjustment of HPL’s seventeen configuration ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Concurrency and Computation: Practice and Experience

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2010