{ "_id": "6a2323d6530b9bc726bce18f", "Package": "nmathopencl", "Type": "Package", "Title": "'OpenCL'-Ported R 'Mathlib' for GPU-Accelerated Packages", "Version": "0.8.1", "Date": "2026-05-30", "Authors@R": "c(\nperson(\"Kjell\", \"Nygren\", role = c(\"aut\", \"cre\"),\nemail = \"kjell.a.nygren@gmail.com\"),\nperson(\"The R Core Team\", role = c(\"ctb\", \"cph\"),\ncomment = \"R 'Mathlib' sources, R stats modeling code, and derived/adapted routines\"),\nperson(\"The R Foundation\", role = \"cph\",\ncomment = \"Portions of R 'Mathlib' and R source code\"),\nperson(\"Ross\", \"Ihaka\", role = c(\"ctb\", \"cph\"),\ncomment = \"R 'Mathlib' and original R modeling infrastructure\"),\nperson(\"Robert\", \"Gentleman\", role = c(\"ctb\", \"cph\"),\ncomment = \"Portions of R 'Mathlib'\"),\nperson(\"Simon\", \"Davies\", role = \"ctb\",\ncomment = \"Original R glm implementation\"),\nperson(\"Morten\", \"Welinder\", role = c(\"ctb\", \"cph\"),\ncomment = \"Portions of R 'Mathlib'\"),\nperson(\"Martin\", \"Maechler\", role = \"ctb\",\ncomment = \"Portions of R 'Mathlib'\")\n)", "Description": "Ships statistical and mathematical routines from R\ninternal 'nmath' ('Mathlib') as 'OpenCL' C sources under\ndirectory 'inst/cl/', with R wrappers that use the GPU when\n'OpenCL' is available at compile time and fall back to 'stats'\nequivalents otherwise. 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"filename": "Chapter-01.html", "title": "Chapter 01: Setting Up OpenCL and Enabling GPU Acceleration", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Overview", "When you load nmathopencl", "What the message means", "opencltools as imported dependency", "What \"compiling with OpenCL\" means", "Enabling OpenCL for nmathopencl", "Step 1: Read the load message", "Step 2: If OpenCL is not enabled at all", "Step 3: If opencltools is enabled but nmathopencl is not", "Verifying the setup", "Validating GPU calls with the exported wrappers", "Troubleshooting common failures", "nmathopencl_has_opencl() returns FALSE after driver installation", "Compilation fails with CL/cl.h: No such file or directory", "Runtime error: clGetPlatformIDs: CL_PLATFORM_NOT_FOUND_KHR", "PATH warnings from opencltools::diagnose_glmbayes()", "For package developers: next steps" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 30 }, { "source": "Chapter-02.Rmd", "filename": "Chapter-02.html", "title": "Chapter 02: Adding USE_OPENCL and has_opencl() to Your Package", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Why a static src/Makevars breaks CRAN", "The configure → USE_OPENCL → has_opencl() chain", "Adding has_opencl() to your package", "C++ side", "R side", "Case 1: New package with no existing src/Makevars", "Case 2: Existing package with a static src/Makevars", "What is preserved", "Caveats", "Guarding OpenCL code in C++", "Testing the CPU-only path before CRAN submission", "DESCRIPTION dependencies", "Migration note" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 16:45:22", "commits": 31 }, { "source": "Chapter-03.Rmd", "filename": "Chapter-03.html", "title": "Chapter 03: Structure of nmath Kernel Programs", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Why \"programs\" rather than compiled objects", "No #include on the device", "The four-layer program structure", "Layer 0: OPENCL.cl --- the global configuration header", "Layer 1: The upstream shim layer", "Type stubs", "Capability macros", "Runtime no-ops", "Math declarations", "The design principle", "Layer 2: The nmath library and its annotation scheme", "@provides and @depends annotations", "Only the required subset is loaded", "Layer 3: The kernel function", "Assembling the program in C++", "What this means for downstream developers" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 37 }, { "source": "Chapter-04.Rmd", "filename": "Chapter-04.html", "title": "Chapter 04: The nmath OpenCL Library", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "What is inst/cl/nmath/?", "Annotation scheme", "File families", "Infrastructure / header files", "Core math helpers", "Density functions (d*)", "CDF functions (p*)", "Quantile functions (q*)", "Random-variate generators (r*)", "Special functions", "Additional utilities", "Cycle-breaking artifacts", "The ex_glmbayes_nmath/ subset", "Porting fidelity" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 16:45:22", "commits": 19 }, { "source": "Chapter-05.Rmd", "filename": "Chapter-05.html", "title": "Chapter 05: Kernels, Kernel Runners, and Kernel Wrappers", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "How this chapter is organized", "The computation in the example: GLM log-posterior over a grid", "Serial vs. parallel execution: the fundamental concept", "The serial (CPU) mental model", "The parallel (GPU) mental model", "When OpenCL is not available", "Summary", "The kernel wrapper", "General description", "Example: f2_f3_opencl from ex_glmbayes", "Step 1 — Convert C++ input types to flat std::vector", "Step 2 — Allocate output buffers", "Step 3 — Select the kernel and assemble the program string", "Step 4 — Dispatch to the runner", "Step 5 — Convert outputs from plain C++ back to the required return types", "The kernel runner", "Example: f2_f3_kernel_runner from ex_glmbayes", "Step 1 — Select a device", "Step 2 — Create a context and command queue", "Step 3 — Compile the program on-device", "Step 4 — Allocate device buffers and transfer input data", "Step 5 — Bind kernel arguments", "Step 6 — Launch the kernel", "Step 7 — Read results back to the host (blocking)", "Step 8 — Release all resources", "The kernel (*.cl)", "Example: f2_f3_binomial_logit from ex_glmbayes", "The kernel signature", "The parallel execution body", "The complete call chain", "CRAN safety: how the architecture prevents build failures", "Applying the pattern in your package", "File layout", "Type conversion reference", "Headers and DESCRIPTION" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 24 }, { "source": "Chapter-06.Rmd", "filename": "Chapter-06.html", "title": "Chapter 06: Integrating Kernel Wrappers into Your Codebase", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "The two integration patterns", "Pattern 1: wrapper with a direct R interface", "Pattern 2: wrapper as an internal C++ component", "Pattern 1 in detail: dnorm_opencl", "The R wrapper", "The .opencl_try_or_fallback helper", "The C++ kernel wrapper", "Pattern 2 in detail: f2_f3_opencl", "The exported R function", "The C++ dispatcher", "Why a dedicated CPU implementation?", "Choosing between the two patterns", "Naming conventions", "Summary" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 21 }, { "source": "Chapter-07.Rmd", "filename": "Chapter-07.html", "title": "Chapter 07: Kernels --- Writing and Using OpenCL Kernel Files", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "What is a kernel?", "Anatomy of a simple kernel", "Standard argument layout", "The *_ex_kernel.cl variants", "Kernel file index", "Density kernels", "CDF kernels", "Quantile kernels", "Random-variate kernels", "Special function kernels", "Math support kernels", "RNG core kernels", "Utility kernels", "Bessel kernels (standard and extended)", "Program assembly", "Writing a custom kernel" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 16:45:22", "commits": 19 }, { "source": "Chapter-08.Rmd", "filename": "Chapter-08.html", "title": "Chapter 08: Kernel Loading --- load_kernel_source and load_kernel_library", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "The assembly problem", "opencltools::load_kernel_source()", "opencltools::load_kernel_library()", "The annotation format", "The topological sort algorithm", "Verbose output", "Cycle detection and breaking", "Assembling a complete program", "Using libraries from another package", "Dependency index --- faster, kernel-specific loading", "Building the index --- write_kernel_dependency_index()", "Loading with the index --- load_library_for_kernel() (R)", "Extracting a subset --- extract_library_subset()", "C++ equivalent --- openclPort::load_library_for_kernel()", "Error messages" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 16:45:22", "commits": 21 }, { "source": "Chapter-09.Rmd", "filename": "Chapter-09.html", "title": "Chapter 09: Generic OpenCL Kernel Runners (openclPort layer)", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "The openclPort namespace", "opencl_dbl_scalar_kernel_runner", "Declaration", "Arguments", "What it does", "Argument layout contract", "Example: calling the runner from a kernel wrapper", "Error-handling utilities", "opencl_status_name", "opencl_status_hint", "opencl_read_platform_info_str / opencl_read_device_info_str", "opencl_make_context_error", "Other utilities in openclPort", "Rcpp -> std::vector conversion", "Device probing (C++ / openclPort)", "OpenCL build configuration", "Using openclPort from a downstream package" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 15 }, { "source": "Chapter-10.Rmd", "filename": "Chapter-10.html", "title": "Chapter 10: Case Study --- Building Custom GLM Kernels (ex_glmbayes)", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Step 1 --- Identify the nmath functions your kernel needs", "Step 2 --- Extract the minimal nmath subset", "Step 3 --- Write the kernel files", "Step 4 --- Write the kernel runner (C++)", "Step 5 --- Write the kernel wrapper (C++)", "Why load_library_for_kernel() rather than load_kernel_library()?", "Step 6 --- Write the Rcpp export wrappers (C++ and R)", "Step 7 --- Implement the CPU fallback", "File inventory", "OpenCL source (inst/cl/)", "C++ source (src/)", "C++ headers (src/)", "R source (R/)", "Adapting this pattern for a new package" ], "created": "2020-07-05 01:43:45", "modified": "2026-06-04 21:25:58", "commits": 15 }, { "source": "Chapter-11.Rmd", "filename": "Chapter-11.html", "title": "Chapter 11: Testing, Debugging, and Benchmarking GPU Kernels", "engine": "knitr::rmarkdown", "headings": [ "Correctness testing", "Debugging kernel failures", "Benchmarking" ], "created": "2020-07-05 13:36:43", "modified": "2026-06-04 21:25:58", "commits": 32 }, { "source": "Chapter-12.Rmd", "filename": "Chapter-12.html", "title": "Chapter 12: The nmathopencl R API --- Distribution Functions on the GPU", "author": "Kjell Nygren", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Checking availability", "Normal distribution", "Distribution families", "Gamma", "Binomial", "Poisson", "Beta", "Additional families", "Noncentral distributions", "Special functions and math support", "R extension utilities (R_ext)", "RNG core", "Fallback behavior in detail", "Performance notes" ], "created": "2025-08-21 06:07:32", "modified": "2026-06-04 21:25:58", "commits": 19 } ], "_score": 6.0777311796523925, "_indexed": true, "_nocasepkg": "nmathopencl", "_universes": [ "knygren" ], "_previous": "0.8.0", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.8.1", 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