{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"}],"enrichment":{"capability":"Provides optimized C and Data Parallel C++ interfaces to Intel's oneAPI Math Kernel Library for high-performance linear algebra and mathematical computing on Intel CPUs and GPUs.","skillfed_tags":["intel-optimized","gpu-compute","numerical-computing"],"use_cases":["Accelerate linear algebra operations (BLAS, LAPACK) in scientific computing workflows on Intel hardware.","Build DPC++ applications that dispatch compute to Intel GPUs while maintaining C/C++ compatibility.","Optimize numerical simulations and data-parallel workloads on Intel CPUs with threaded MKL routines.","Integrate Intel's math libraries into C/C++ applications via Python bindings for performance-critical sections."],"what_it_does":"onemkl-sycl-lapack is Intel's oneAPI Math Kernel Library packaged for Python, exposing C and Data Parallel C++ (DPC++) interfaces to highly optimized linear algebra and mathematical routines. It targets applications requiring maximum performance on Intel hardware, supporting both current and future generations of Intel CPUs and GPUs through DPC++ parallelism.\n\nThe package is a thin wrapper around Intel's native libraries and requires manual environment configuration (MKLROOT) after installation. It is platform-specific, available only for Linux x86_64 and Windows x86_64, and depends on four runtime packages including mkl and onemkl-sycl-blas. Intended for developers, researchers, and system administrators building high-performance numerical applications.","worth_installing":"Yes, if you are developing on Intel hardware (Linux x86_64 or Windows x86_64) and need high-performance linear algebra or DPC++ GPU compute. The medium install friction and manual MKLROOT setup are acceptable trade-offs for Intel-optimized math routines. No known vulnerabilities. License is proprietary and unclear\u2014verify Intel's terms for your use case before committing."},"id":"onemkl-sycl-lapack","links":{"html":"https://skillfed.io/packages/onemkl-sycl-lapack","md":"https://skillfed.io/packages/onemkl-sycl-lapack.md","pypi":"https://pypi.org/project/onemkl-sycl-lapack/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"onemkl-sycl-lapack","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":171158,"position":10378,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}