{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"}],"enrichment":{"capability":"Provides NVIDIA's cuSPARSELt CUDA library for high-performance sparse matrix-matrix multiplication on NVIDIA GPUs with structured sparsity patterns.","skillfed_tags":["gpu-acceleration","sparse-linear-algebra","nvidia-cuda"],"use_cases":["Accelerate sparse matrix operations in machine learning inference on NVIDIA GPUs with structured sparsity support.","Optimize large-scale linear algebra computations in scientific computing that benefit from 50% sparsity patterns.","Implement high-performance search engine ranking or recommendation systems exploiting structured sparsity.","Mixed-precision deep learning workloads requiring INT8, FP16, or BF16 sparse matrix multiplication.","GPU-accelerated numerical simulations where sparse matrix-matrix products dominate runtime."],"what_it_does":"nvidia-cusparselt-cu12 is a Python wrapper around NVIDIA's cuSPARSELt CUDA library, which accelerates sparse matrix-matrix multiplication on NVIDIA GPUs. It targets workloads where at least one operand is a structured sparse matrix with 50% sparsity ratio, enabling mixed-precision computation across formats like FP32, BF16, FP16, INT8, E4M3, and E5M2. The library leverages NVIDIA's Sparse MMA tensor cores for performance.\n\nThe package has no Python runtime dependencies and is distributed as platform-specific wheels for x86_64, aarch64, and Windows. It is intended for machine learning and high-performance computing applications that can exploit structured sparsity patterns on modern NVIDIA GPUs. Users access the library through NVIDIA's cuSPARSELt C/CUDA APIs exposed to Python, with flexibility in algorithm selection, epilogue operations, memory layout, and data types.","worth_installing":"Yes, if you have a compatible NVIDIA GPU and need sparse matrix-matrix multiplication acceleration. The package is popular and has no known vulnerabilities. However, the proprietary license requires verification against your project's licensing terms, and the aging maintenance status warrants checking NVIDIA's official support channels before adopting in production."},"id":"nvidia-cusparselt-cu12","links":{"html":"https://skillfed.io/packages/nvidia-cusparselt-cu12","md":"https://skillfed.io/packages/nvidia-cusparselt-cu12.md","pypi":"https://pypi.org/project/nvidia-cusparselt-cu12/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-09-05","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cusparselt-cu12","python_support":"unspecified","summary":"NVIDIA cuSPARSELt"},"popularity":{"monthly_downloads":19995332,"position":1048,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.8.1"}