High Performance Computing
Showing 32 of 32 projects
A library for efficient similarity search and clustering of dense vectors, scaling to billions of vectors on a single server.
A Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and machine learning.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
A Python library for composable transformations of numerical programs: automatic differentiation, vectorization, and JIT compilation to GPU/TPU.
A fast, expressive, and header-only C++ library for building task-parallel programs with static, dynamic, and conditional task graphs.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
An optimized open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library for high-performance scientific computing.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
A distributed database for high-performance computing with in-memory speed, ACID compliance, and ANSI SQL support.
A C++ parallel algorithms library that enables high-performance computing on GPUs and multicore CPUs with a productivity-focused interface.
A library of optimized communication primitives for multi-GPU and multi-node collective operations.
An open-source cluster resource management and job scheduling system for Linux-based high-performance computing.
A C++ library for numerical analysis with multi-dimensional array expressions featuring broadcasting and lazy computing.
A compiler for a C-based SPMD language that generates high-performance SIMD code for CPUs and GPUs.
A C++ library providing lock-free and fine-grained concurrent data structures with safe memory reclamation algorithms.
A portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.
An open source container platform designed for simplicity, speed, and security in HPC and shared computing environments.
An open-source implementation of the Message Passing Interface (MPI) specification for high-performance computing.
A C++ programming model for writing performance-portable applications targeting all major HPC platforms.
NVIDIA's implementation of the C++ Standard Library for CUDA C++ development.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A header-only C++ library for CUDA providing accelerated primitives for solving irregularly parallel problems on GPUs.
A domain-specific language and C++ library for automatically synthesizing high-performance machine learning kernels.
A high-performance GPU-accelerated Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends.
A user-level tool to execute Docker containers without root privileges, enabling container usage in batch systems and restricted environments.
A language for distributed deep learning that simplifies model parallelism by specifying tensor computations across hardware meshes.
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
A portable C++ library providing SIMD vector types for explicit data-parallel programming with zero-overhead abstractions.
A curated, categorized directory of packages, libraries, and resources for the Julia programming language.
A curated, categorized directory of Julia packages and resources for scientific computing and high-performance numerical analysis.
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