{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"}],"enrichment":{"capability":"Provides C and Data Parallel C++ (DPC++) interfaces to Intel's oneAPI Math Kernel Library for optimized sparse linear algebra operations on Intel CPUs and GPUs.","skillfed_tags":["sparse-linear-algebra","intel-hardware","hpc"],"use_cases":["Accelerate sparse matrix-vector products and factorizations in scientific computing workflows on Intel CPUs or GPUs.","Optimize large-scale linear solvers for sparse systems in engineering simulations or machine learning training pipelines.","Build DPC++ applications that require vendor-optimized sparse BLAS operations without reimplementing algorithms.","Integrate Intel GPU acceleration into existing C/C++ codebases that perform sparse tensor computations."],"what_it_does":"onemkl-sycl-sparse is Intel's sparse linear algebra library packaged for Python, exposing C and DPC++ interfaces to highly optimized routines for sparse matrix computations. It targets applications requiring maximum performance on Intel hardware\u2014both CPUs and GPUs\u2014and is part of the broader oneAPI Math Kernel Library ecosystem.\n\nThe package ships as platform-specific wheels (Linux x86_64 and Windows x86_64) and depends on four runtime libraries: the DPC++ C++ runtime, Intel OpenCL runtime, the base MKL library, and onemkl-sycl-blas. After installation, you must manually configure the MKLROOT environment variable to point to the library installation; this is not done automatically. The library is intended for developers building high-performance numerical applications in C, C++, or languages that can call C interfaces.","worth_installing":"Yes, if you need sparse linear algebra on Intel hardware and are willing to manage manual MKLROOT configuration and platform constraints. The package is actively maintained, has no known vulnerabilities, and targets a specific high-performance niche. Not suitable for cross-platform portability or if you lack Intel CPU/GPU hardware or the DPC++ toolchain."},"id":"onemkl-sycl-sparse","links":{"html":"https://skillfed.io/packages/onemkl-sycl-sparse","md":"https://skillfed.io/packages/onemkl-sycl-sparse.md","pypi":"https://pypi.org/project/onemkl-sycl-sparse/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"onemkl-sycl-sparse","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":166340,"position":10497,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}