The LINPACK Benchmark: past, present and future

By Jack J. Dongarra, Piotr Luszczek, Antoine Petitet. Concurrency and Computation, 2003

946 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/eea5f4452f5609da00f23723f51850bc4211ce26

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Citations in the corpus

Inferring Disjunctive Postconditions (2006, methodology): “We tested our system on a set of small programs with challenging recursion, and also the Scimark and Linpack benchmark suites [21, 10].”
OpenTuner: An extensible framework for program autotuning (2014, methodology): “The High Performance Linpack benchmark [10] is used to evaluate ﬂoating point performance of machines ranging from small multiprocessors to large-scale clusters, and is the evaluation criterion for the Top 500 [32] supercomputer benchmark.”
Towards dense linear algebra for hybrid GPU accelerated manycore systems (2009, background): “duced by non-parallelizable tasks by overlapping their execution with the execution of more efficient ones [8].”
Model-driven Level 3 BLAS Performance Optimization on Loongson 3A Processor (2012, background): “Many applications and benchmarks can cast most computation in terms of level 3 BLAS, allowing them to benefit from the high performance that optimized implementations can achieve [2].”
Introduction to the HPCChallenge Benchmark Suite (2004, methodology): “The HPC Challenge benchmark consists at this time of 7 performance tests: HPL [3], STREAM [4], RandomAccess, PTRANS, FFT (implemented using FFTE [5]), DGEMM [6, 7] and b eff (MPI latency/bandwidth test) [8, 9, 10].”
Resource Management in Fog/Edge Computing (2018, methodology): “Typical tools used for clusters or supercomputers include LINPACK [158] or NAS Parallel Benchmarks [159].”
DAGuE: A Generic Distributed DAG Engine for High Performance Computing (2011, methodology): “It is used as the prominent metric in the evaluation of the performance level of the most powerful machines in the world issued by the Top 500 [30].”