{ "_id": "6a103626acfb0bcc41c99f3d", "Package": "RHPCBenchmark", "Title": "Benchmarks for High-Performance Computing Environments", "Version": "0.1.0", "Author": "James McCombs [aut, cre]", "Maintainer": "James McCombs ", "Authors@R": "person(\"James\", \"McCombs\", email = \"jmccombs@iu.edu\", role = c(\"aut\", \"cre\"))", "Description": "Microbenchmarks for determining the run time performance\nof aspects of the R programming environment and packages\nrelevant to high-performance computation. The benchmarks are\ndivided into three categories: dense matrix linear algebra\nkernels, sparse matrix linear algebra kernels, and machine\nlearning functionality.", "License": "Apache License 2.0 | file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 06:54:23 UTC", "User": "root" }, "Repository": "https://jrmccombs.r-universe.dev", "Date/Publication": "2017-05-23 16:26:28 UTC", "RemoteUrl": "https://github.com/cran/RHPCBenchmark", "RemoteRef": "HEAD", "RemoteSha": "c1335a4fcb14e6b871d73e3929f188a92a273308", "MD5sum": "01e6401d3a3d36b95203baa9103a29fa", "_user": "jrmccombs", "_type": "src", "_file": "RHPCBenchmark_0.1.0.tar.gz", "_fileid": "d43909afc155135917a92d4bdf399984c340438539f8751223bda9d7f90c2280", "_filesize": 289660, "_sha256": "d43909afc155135917a92d4bdf399984c340438539f8751223bda9d7f90c2280", "_created": "2026-05-12T06:54:23.000Z", "_published": "2026-05-22T10:55:34.396Z", "_distro": "noble", "_jobs": [ { "job": 77365689974, "time": 118, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "6937607712" }, { "job": 77365689998, "time": 107, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6937606485" }, { "job": 77365690082, "time": 221, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "6937623499" }, { "job": 77365689824, "time": 121, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6937603131" }, { "job": 77365689648, "time": 163, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6937574853" }, { "job": 77365689382, "time": 102, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7158811592" }, { "job": 77365690031, "time": 82, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "6937598073" }, { "job": 77365690273, "time": 85, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "6937598661" }, { "job": 77365690194, "time": 67, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "6937594050" } ], "_buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/RHPCBenchmark", "_commit": { "id": "c1335a4fcb14e6b871d73e3929f188a92a273308", "author": "James McCombs ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1495556788 }, "_maintainer": { "name": "James McCombs", "email": "jmccombs@iu.edu", "login": "jrmccombs", "uuid": 24800051 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.3.1", "role": "Depends" }, { "package": "methods", "role": "Depends" }, { "package": "utils", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "cluster", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "jrmccombs", "count": 1, "uuid": 24800051 } ], "_userbio": { "uuid": 24800051, "type": "user", "name": "James McCombs", "description": "Computational scientist and research software engineer performing HPC research, algorithm development, and software development." }, "_downloads": { "count": 190, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RHPCBenchmark" }, "_searchresults": 21, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "extra/RHPCBenchmark.html", "manual.pdf" ], "_realowner": "jrmccombs", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2017-05-23" } ], "_exports": [ "CholeskyAllocator", "CholeskyMicrobenchmark", "ClaraClusteringMicrobenchmark", "ClusteringAllocator", "CrossprodAllocator", "CrossprodMicrobenchmark", "DeformtransAllocator", "DeformtransMicrobenchmark", "DeterminantAllocator", "DeterminantMicrobenchmark", "EigenAllocator", "EigenMicrobenchmark", "GetClusteringDefaultMicrobenchmarks", "GetClusteringExampleMicrobenchmarks", "GetDenseMatrixDefaultMicrobenchmarks", "GetDenseMatrixExampleMicrobenchmarks", "GetSparseCholeskyDefaultMicrobenchmarks", "GetSparseCholeskyExampleMicrobenchmarks", "GetSparseLuDefaultMicrobenchmarks", "GetSparseMatrixVectorDefaultMicrobenchmarks", "GetSparseMatrixVectorExampleMicrobenchmarks", "GetSparseQrDefaultMicrobenchmarks", "LsfitAllocator", "LsfitMicrobenchmark", "MatmatAllocator", "MatmatMicrobenchmark", "MatvecAllocator", "MatvecMicrobenchmark", "PamClusteringMicrobenchmark", "QrAllocator", "QrMicrobenchmark", "RunDenseMatrixBenchmark", "RunMachineLearningBenchmark", "RunSparseMatrixBenchmark", "SolveAllocator", "SolveMicrobenchmark", "SparseCholeskyAllocator", "SparseCholeskyMicrobenchmark", "SparseLuAllocator", "SparseLuMicrobenchmark", "SparseMatrixVectorAllocator", "SparseMatrixVectorMicrobenchmark", "SparseQrAllocator", "SparseQrMicrobenchmark", "SvdAllocator", "SvdMicrobenchmark", "TransposeAllocator", "TransposeMicrobenchmark" ], "_help": [ { "page": "CholeskyAllocator", "title": "Allocates and initializes input to the Cholesky factorization dense matrix kernel microbenchmarks", "topics": [ "CholeskyAllocator" ] }, { "page": "CholeskyMicrobenchmark", "title": "Conducts a single performance trial with the Cholesky factorization dense matrix kernel", "topics": [ "CholeskyMicrobenchmark" ] }, { "page": "ClaraClusteringMicrobenchmark", "title": "Conducts a single performance trial with the cluster::clara function", "topics": [ "ClaraClusteringMicrobenchmark" ] }, { "page": "ClusteringAllocator", "title": "Allocates and initializes input to the clustering for machine learning microbenchmarks", "topics": [ "ClusteringAllocator" ] }, { "page": "ClusteringMicrobenchmark", "title": "This class specifies a clustering for machine learning microbenchmark.", "topics": [ "ClusteringMicrobenchmark" ] }, { "page": "ComputeAverageTime", "title": "Computes the average of a vector of performance trial times", "topics": [ "ComputeAverageTime" ] }, { "page": "ComputeStandardDeviation", "title": "Computes the standard deviation of a vector of performance trial times", "topics": [ "ComputeStandardDeviation" ] }, { "page": "CrossprodAllocator", "title": "Allocates and populates input to the matrix cross product dense matrix kernel microbenchmarks", "topics": [ "CrossprodAllocator" ] }, { "page": "CrossprodMicrobenchmark", "title": "Conducts a single performance trial with the matrix cross product dense matrix kernel", "topics": [ "CrossprodMicrobenchmark" ] }, { "page": "DeformtransAllocator", "title": "Allocates and populates input to the matrix deformation and transpose dense matrix kernel microbenchmarks", "topics": [ "DeformtransAllocator" ] }, { "page": "DeformtransMicrobenchmark", "title": "Conducts a single performance trial with the matrix deformation and transpose dense matrix kernel", "topics": [ "DeformtransMicrobenchmark" ] }, { "page": "DenseMatrixMicrobenchmark", "title": "This class specifies a dense matrix microbenchmark.", "topics": [ "DenseMatrixMicrobenchmark" ] }, { "page": "DeterminantAllocator", "title": "Allocates and populates input to the matrix determinant dense matrix kernel microbenchmarks", "topics": [ "DeterminantAllocator" ] }, { "page": "DeterminantMicrobenchmark", "title": "Conducts a single performance trial with the matrix determinant dense matrix kernel", "topics": [ "DeterminantMicrobenchmark" ] }, { "page": "EigenAllocator", "title": "Allocates and populates input to the matrix eigendecomposition kernel microbenchmarks", "topics": [ "EigenAllocator" ] }, { "page": "EigenMicrobenchmark", "title": "Conducts a single performance trial with the matrix eigendecomposition dense matrix kernel", "topics": [ "EigenMicrobenchmark" ] }, { "page": "GenerateClusterData", "title": "Generates clusters from multivariate normal distributions", "topics": [ "GenerateClusterData" ] }, { "page": "GetClusteringDefaultMicrobenchmarks", "title": "Initializes the list of default clustering microbenchmarks", "topics": [ "GetClusteringDefaultMicrobenchmarks" ] }, { "page": "GetClusteringExampleMicrobenchmarks", "title": "Initializes the list of example clustering microbenchmarks", "topics": [ "GetClusteringExampleMicrobenchmarks" ] }, { "page": "GetConfigurableEnvParameter", "title": "Retrieves the value of an environment variable referenced by another environment variable", "topics": [ "GetConfigurableEnvParameter" ] }, { "page": "GetDenseMatrixDefaultMicrobenchmarks", "title": "Initializes the list of default dense matrix microbenchmarks", "topics": [ "GetDenseMatrixDefaultMicrobenchmarks" ] }, { "page": "GetDenseMatrixExampleMicrobenchmarks", "title": "Initializes the list of example dense matrix microbenchmarks", "topics": [ "GetDenseMatrixExampleMicrobenchmarks" ] }, { "page": "GetNumberOfThreads", "title": "Retrieves the number of threads from the environment", "topics": [ "GetNumberOfThreads" ] }, { "page": "GetSparseCholeskyDefaultMicrobenchmarks", "title": "Initializes the list of default sparse Cholesky factorization microbenchmarks", "topics": [ "GetSparseCholeskyDefaultMicrobenchmarks" ] }, { "page": "GetSparseCholeskyExampleMicrobenchmarks", "title": "Initializes the list of example sparse Cholesky factorization microbenchmarks", "topics": [ "GetSparseCholeskyExampleMicrobenchmarks" ] }, { "page": "GetSparseLuDefaultMicrobenchmarks", "title": "Initializes the list of default sparse LU factorization microbenchmarks", "topics": [ "GetSparseLuDefaultMicrobenchmarks" ] }, { "page": "GetSparseMatrixVectorDefaultMicrobenchmarks", "title": "Initializes the list of default sparse matrix-vector microbenchmarks", "topics": [ "GetSparseMatrixVectorDefaultMicrobenchmarks" ] }, { "page": "GetSparseMatrixVectorExampleMicrobenchmarks", "title": "Initializes the list of example sparse matrix-vector microbenchmarks", "topics": [ "GetSparseMatrixVectorExampleMicrobenchmarks" ] }, { "page": "GetSparseQrDefaultMicrobenchmarks", "title": "Initializes the list of default sparse QR factorization microbenchmarks", "topics": [ "GetSparseQrDefaultMicrobenchmarks" ] }, { "page": "LsfitAllocator", "title": "Allocates and populates input to the matrix least squares fit dense matrix kernel microbenchmarks", "topics": [ "LsfitAllocator" ] }, { "page": "LsfitMicrobenchmark", "title": "Conducts a single performance trial with the matrix least squares fit dense matrix kernel", "topics": [ "LsfitMicrobenchmark" ] }, { "page": "MatmatAllocator", "title": "Allocates and populates input to the matrix-matrix multiplication dense matrix kernel microbenchmarks", "topics": [ "MatmatAllocator" ] }, { "page": "MatmatMicrobenchmark", "title": "Conducts a single performance trial with the matrix-matrix multiplication dense matrix kernel", "topics": [ "MatmatMicrobenchmark" ] }, { "page": "MatvecAllocator", "title": "Allocates and populates input to the matrix-vector multiplication dense matrix kernel microbenchmarks", "topics": [ "MatvecAllocator" ] }, { "page": "MatvecMicrobenchmark", "title": "Conducts a single performance trial with the matrix-vector multiplication dense matrix kernel", "topics": [ "MatvecMicrobenchmark" ] }, { "page": "MicrobenchmarkClusteringKernel", "title": "Performs microbenchmarking of a clustering for machine learning kernel", "topics": [ "MicrobenchmarkClusteringKernel" ] }, { "page": "MicrobenchmarkDenseMatrixKernel", "title": "Performs microbenchmarking of a dense matrix linear algebra kernel", "topics": [ "MicrobenchmarkDenseMatrixKernel" ] }, { "page": "MicrobenchmarkSparseMatrixKernel", "title": "Performs microbenchmarking of a sparse matrix linear algebra kernel", "topics": [ "MicrobenchmarkSparseMatrixKernel" ] }, { "page": "PamClusteringMicrobenchmark", "title": "Conducts a single performance trial with the cluster::pam function", "topics": [ "PamClusteringMicrobenchmark" ] }, { "page": "PerformClusteringMicrobenchmarking", "title": "Performs microbenchmarking of machine learning functions specified by an input list", "topics": [ "PerformClusteringMicrobenchmarking" ] }, { "page": "PerformSparseMatrixKernelMicrobenchmarking", "title": "Performs microbenchmarking of sparse matrix kernels specified by an input list", "topics": [ "PerformSparseMatrixKernelMicrobenchmarking" ] }, { "page": "PrintClusteringMicrobenchmarkResults", "title": "Prints results of a clustering for machine learning microbenchmark", "topics": [ "PrintClusteringMicrobenchmarkResults" ] }, { "page": "PrintDenseMatrixMicrobenchmarkResults", "title": "Prints results of a dense matrix microbenchmark", "topics": [ "PrintDenseMatrixMicrobenchmarkResults" ] }, { "page": "PrintSparseMatrixMicrobenchmarkResults", "title": "Prints results of a sparse matrix microbenchmark", "topics": [ "PrintSparseMatrixMicrobenchmarkResults" ] }, { "page": "QrAllocator", "title": "Allocates and populates input to the QR factorization dense matrix kernel microbenchmarks", "topics": [ "QrAllocator" ] }, { "page": "QrMicrobenchmark", "title": "Conducts a single performance trial with the QR factorization dense matrix kernel", "topics": [ "QrMicrobenchmark" ] }, { "page": "RHPCBenchmark", "title": "RHPCBenchmark: A package for performance testing intrinsic R functionality and established packages relevant to high-performance computing", "topics": [ "RHPCBenchmark-package", "RHPCBenchmark" ] }, { "page": "RunDenseMatrixBenchmark", "title": "Runs all of the dense matrix microbenchmarks", "topics": [ "RunDenseMatrixBenchmark" ] }, { "page": "RunMachineLearningBenchmark", "title": "Runs all of the machine learning microbenchmarks", "topics": [ "RunMachineLearningBenchmark" ] }, { "page": "RunSparseMatrixBenchmark", "title": "Runs all of the sparse matrix microbenchmarks", "topics": [ "RunSparseMatrixBenchmark" ] }, { "page": "SolveAllocator", "title": "Allocates and populates input to the dense matrix kernel microbenchmark for computing the solution to a system of linear equations with multiple right-hand sides", "topics": [ "SolveAllocator" ] }, { "page": "SolveMicrobenchmark", "title": "Conducts a single performance trial with the dense matrix kernel for computing the solution to a system of linear equations with multiple right-hand sides", "topics": [ "SolveMicrobenchmark" ] }, { "page": "SparseCholeskyAllocator", "title": "Allocates and initializes input to the Cholesky factorization sparse matrix kernel microbenchmarks", "topics": [ "SparseCholeskyAllocator" ] }, { "page": "SparseCholeskyMicrobenchmark", "title": "Conducts a single performance trial with the Cholesky factorization sparse matrix kernel", "topics": [ "SparseCholeskyMicrobenchmark" ] }, { "page": "SparseLuAllocator", "title": "Allocates and initializes input to the LU factorization sparse matrix kernel microbenchmarks", "topics": [ "SparseLuAllocator" ] }, { "page": "SparseLuMicrobenchmark", "title": "Conducts a single performance trial with the LU factorization sparse matrix kernel", "topics": [ "SparseLuMicrobenchmark" ] }, { "page": "SparseMatrixMicrobenchmark", "title": "This class specifies a sparse matrix microbenchmark.", "topics": [ "SparseMatrixMicrobenchmark" ] }, { "page": "SparseMatrixVectorAllocator", "title": "Allocates and initializes input to the matrix-vector multiplication sparse matrix kernel microbenchmarks", "topics": [ "SparseMatrixVectorAllocator" ] }, { "page": "SparseMatrixVectorMicrobenchmark", "title": "Conducts a single performance trial with the matrix-vector multiplication sparse matrix kernel", "topics": [ "SparseMatrixVectorMicrobenchmark" ] }, { "page": "SparseQrAllocator", "title": "Allocates and initializes input to the QR factorization sparse matrix kernel microbenchmarks", "topics": [ "SparseQrAllocator" ] }, { "page": "SparseQrMicrobenchmark", "title": "Conducts a single performance trial with the QR factorization sparse matrix kernel", "topics": [ "SparseQrMicrobenchmark" ] }, { "page": "SvdAllocator", "title": "Allocates and populates input to the singular value decomposition (SVD) dense matrix kernel microbenchmarks", "topics": [ "SvdAllocator" ] }, { "page": "SvdMicrobenchmark", "title": "Conducts a single performance trial with the singular value decomposition (SVD) dense matrix kernel", "topics": [ "SvdMicrobenchmark" ] }, { "page": "TransposeAllocator", "title": "Allocates and populates input to the matrix transpose dense matrix kernel microbenchmarks", "topics": [ "TransposeAllocator" ] }, { "page": "TransposeMicrobenchmark", "title": "Conducts a single performance trial with the matrix transpose dense matrix kernel", "topics": [ "TransposeMicrobenchmark" ] }, { "page": "WriteClusteringPerformanceResultsCsv", "title": "Appends performance test results of a clustering microbenchmark to a file in CSV format", "topics": [ "WriteClusteringPerformanceResultsCsv" ] }, { "page": "WriteDenseMatrixPerformanceResultsCsv", "title": "Appends dense matrix performance test results to a file in CSV format", "topics": [ "WriteDenseMatrixPerformanceResultsCsv" ] }, { "page": "WriteSparseMatrixPerformanceResultsCsv", "title": "Appends sparse matrix performance test results to a file in CSV format", "topics": [ "WriteSparseMatrixPerformanceResultsCsv" ] } ], "_readme": "https://github.com/cran/RHPCBenchmark/raw/HEAD/README.md", "_rundeps": [ "cluster", "lattice", "Matrix", "mvtnorm" ], "_vignettes": [ { "source": "vignette.Rmd", "filename": "vignette.html", "title": "R HPC Benchmark", "author": "James R. McCombs", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Supported Microbenchmarks", "Supported Dense Matrix Microbenchmarks", "Supported Sparse Matrix Microbenchmarks", "Supported Machine Learning Microbenchmarks", "Support For Multithreading", "Examples", "Dense Matrix Microbenchmark Examples", "Sparse Matrix Microbenchmark Examples", "Machine Learning Microbenchmark Examples" ], "created": "2017-05-23 16:26:28", "modified": "2017-05-23 16:26:28", "commits": 1 } ], "_score": 3.0211892990699383, "_indexed": true, "_nocasepkg": "rhpcbenchmark", "_universes": [ "jrmccombs" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-12T06:56:23.000Z", "distro": "noble", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "4934fef9e273c961e7891c133db7cd350a29fc1aad5bf0335d64ca6d4ff170a1", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-12T06:56:20.000Z", "distro": "noble", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "e8ae05f0abea5ca3274ed0281a26034209baab9104d4447071154586dbe94fd6", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-05-12T06:57:22.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "41650924a6241b8e8b263b8a6a5b84ba713d63bc1ce0d99ce9f615319702656a", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.6.0", "os": "mac", "version": "0.1.0", "date": "2026-05-12T06:56:00.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "b04c5d324a25bd675608341c8577ceb12341f2c243f80b7b67130a330073ba11", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-05-12T06:55:41.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "f6842d8e567096d4e22a65238cb2ee8ad68c1d4eba5b81c2b515ebecb70271f7", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.5.3", "os": "win", "version": "0.1.0", "date": "2026-05-12T06:55:45.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "da29fa28e45a8e58f89a896226d8ac7bcac86792607036750b26c92a573a0f32", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.6.0", "os": "win", "version": "0.1.0", "date": "2026-05-12T06:55:28.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "2c6a616cc6a1ad736dfec10f212316036fc7caa5e74b5d881d4a903ea3fa4cf7", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-22T10:55:18.000Z", "commit": "c1335a4fcb14e6b871d73e3929f188a92a273308", "fileid": "ec05a001fb9b049fb4570d7d25c2485328a5fbd2dfb12e5c5afed897b47508c6", "status": "success", "buildurl": "https://github.com/r-universe/jrmccombs/actions/runs/25718471199" } ] }