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RHPCBenchmark
View on CRAN: Click
here
Download and install RHPCBenchmark package within the R console
Install from CRAN:
install.packages("RHPCBenchmark")
Install from Github:
library("remotes")
install_github("cran/RHPCBenchmark")
Install by package version:
library("remotes")
install_version("RHPCBenchmark", "0.1.0")
Attach the package and use:
library("RHPCBenchmark")
Maintained by
James McCombs
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-23
Latest Update: 2017-05-23
Description:
Microbenchmarks for determining the run time
performance of aspects of the R programming environment and packages
relevant to high-performance computation. The benchmarks are divided into
three categories: dense matrix linear algebra kernels, sparse matrix linear
algebra kernels, and machine learning functionality.
How to cite:
James McCombs (2017). RHPCBenchmark: Benchmarks for High-Performance Computing Environments. R package version 0.1.0, https://cran.r-project.org/web/packages/RHPCBenchmark. Accessed 21 Dec. 2024.
Previous versions and publish date:
No previous versions
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Other R packages that RHPCBenchmark depends,
imports, suggests or enhances
Complete documentation for RHPCBenchmark
Functions, R codes and Examples using
the RHPCBenchmark R package
Some associated functions: CholeskyAllocator . CholeskyMicrobenchmark . ClaraClusteringMicrobenchmark . ClusteringAllocator . ClusteringMicrobenchmark . ComputeAverageTime . ComputeStandardDeviation . CrossprodAllocator . CrossprodMicrobenchmark . DeformtransAllocator . DeformtransMicrobenchmark . DenseMatrixMicrobenchmark . DeterminantAllocator . DeterminantMicrobenchmark . EigenAllocator . EigenMicrobenchmark . GenerateClusterData . GetClusteringDefaultMicrobenchmarks . GetClusteringExampleMicrobenchmarks . GetConfigurableEnvParameter . GetDenseMatrixDefaultMicrobenchmarks . GetDenseMatrixExampleMicrobenchmarks . GetNumberOfThreads . GetSparseCholeskyDefaultMicrobenchmarks . GetSparseCholeskyExampleMicrobenchmarks . GetSparseLuDefaultMicrobenchmarks . GetSparseMatrixVectorDefaultMicrobenchmarks . GetSparseMatrixVectorExampleMicrobenchmarks . GetSparseQrDefaultMicrobenchmarks . LsfitAllocator . LsfitMicrobenchmark . MatmatAllocator . MatmatMicrobenchmark . MatvecAllocator . MatvecMicrobenchmark . MicrobenchmarkClusteringKernel . MicrobenchmarkDenseMatrixKernel . MicrobenchmarkSparseMatrixKernel . PamClusteringMicrobenchmark . PerformClusteringMicrobenchmarking . PerformSparseMatrixKernelMicrobenchmarking . PrintClusteringMicrobenchmarkResults . PrintDenseMatrixMicrobenchmarkResults . PrintSparseMatrixMicrobenchmarkResults . QrAllocator . QrMicrobenchmark . RHPCBenchmark . RunDenseMatrixBenchmark . RunMachineLearningBenchmark . RunSparseMatrixBenchmark . SolveAllocator . SolveMicrobenchmark . SparseCholeskyAllocator . SparseCholeskyMicrobenchmark . SparseLuAllocator . SparseLuMicrobenchmark . SparseMatrixMicrobenchmark . SparseMatrixVectorAllocator . SparseMatrixVectorMicrobenchmark . SparseQrAllocator . SparseQrMicrobenchmark . SvdAllocator . SvdMicrobenchmark . TransposeAllocator . TransposeMicrobenchmark . WriteClusteringPerformanceResultsCsv . WriteDenseMatrixPerformanceResultsCsv . WriteSparseMatrixPerformanceResultsCsv .
Some associated R codes: RHPCBenchmark.R . benchmarking_utils.R . classes.R . dense_matrix_benchmark.R . dense_matrix_kernels.R . initialize_defaults.R . machine_learning_benchmark.R . machine_learning_kernels.R . microbenchmark_clustering_kernel.R . microbenchmark_dense_matrix_kernel.R . microbenchmark_sparse_matrix_kernel.R . sparse_matrix_benchmark.R . sparse_matrix_kernels.R . Full RHPCBenchmark package functions and examples
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