Programming the Linpack benchmark for Roadrunner

Kistler, Michael; Gunnels, John A.; Brokenshire, Daniel; Benton, Brad

doi:10.1147/jrd.2009.5429075

Cited by 10 publications

(2 citation statements)

References 12 publications

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“…They use well-known benchmarks, such as NAS and NSF, and real-world applications, such as ocean modeling and fusion application. Roadrunner is evaluated in [3] using micro-benchmarks to assess the memory and communication subsystems and a Sweep3D application to analyze the Cell processor, and later in [15] using the Linpack benchmark.…”

Section: Related Workmentioning

confidence: 99%

The Experience in Designing and Building the High Performance Cluster Netuno

Silva¹,

Correa²,

Bentes

et al. 2011

2011 23rd International Symposium on Computer Architecture and High Performance Computing

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This paper presents a description and the evaluation of the Netuno supercomputer, a high-performance cluster installed at Federal University of Rio de Janeiro in Brazil.The results for the High Performance Linpack (HPL) benchmark and two real applications are reported. Since building a high-performance cluster for running a wide range of applications is a non-trivial task, some lessons learned from assembling and operating this cluster, such as the excelent performance of the OpenMPI library, and the importance of the use an efficient parallel file system over the traditional NFS system, can be useful knowledge to support the design of new systems. Currently, Netuno is being heavily used to run large scale simulations in the areas of ocean modeling, meteorology, engineering, physics, and geophysics.

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Section: Related Workmentioning

confidence: 99%

The Experience in Designing and Building the High Performance Cluster Netuno

Silva¹,

Correa²,

Bentes

et al. 2011

2011 23rd International Symposium on Computer Architecture and High Performance Computing

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show abstract

“…The model allowed us to identify the key computational kernels that needed to be accelerated, to develop a high level design for the application, evaluate potential optimizations and their interactions, and to estimate the expected performance of our implementation on the full Roadrunner system. Details of the performance model are described elsewhere [20], so only the key results are included here. Clearly, the matrix update (DGEMM) operation should be assigned to the accelerators, since this is where the bulk of the computation occurs.…”

Section: The Design Of Hybrid Linpackmentioning

confidence: 99%

Petascale computing with accelerators

Kistler

Gunnels

Brokenshire

et al. 2009

Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

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A trend is developing in high performance computing in which commodity processors are coupled to various types of computational accelerators. Such systems are commonly called hybrid systems. In this paper, we describe our experience developing an implementation of the Linpack benchmark for a petascale hybrid system, the LANL Roadrunner cluster built by IBM for Los Alamos National Laboratory. This system combines traditional x86-64 host processors with IBM PowerXCell™ 8i accelerator processors. The implementation of Linpack we developed was the first to achieve a performance result in excess of 1.0 PFLOPS, and made Roadrunner the #1 system on the Top500 list in June 2008. We describe the design and implementation of hybrid Linpack, including the special optimizations we developed for this hybrid architecture. We then present actual results for single node and multi-node executions. From this work, we conclude that it is possible to achieve high performance for certain applications on hybrid architectures when careful attention is given to efficient use of memory bandwidth, scheduling of data movement between the host and accelerator memories, and proper distribution of work between the host and accelerator processors.

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Roadrunner Project, Los Alamos

Grice¹,

White²

2011

Encyclopedia of Parallel Computing

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Programming the Linpack benchmark for Roadrunner

Cited by 10 publications

References 12 publications

The Experience in Designing and Building the High Performance Cluster Netuno

The Experience in Designing and Building the High Performance Cluster Netuno

Petascale computing with accelerators

Roadrunner Project, Los Alamos

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