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RAPIDS is a suite of GPU-accelerated data science and AI libraries with APIs that match popular open-source data tools.
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Manage and Monitor GPUs in Cluster Environments
The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and Networking. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter as well as point-to-point send and receive that are...
Thrust is a powerful library of parallel algorithms and data structures. Thrust provides a flexible, high-level interface for GPU programming that greatly enhances developer productivity. Using Thrust, C++ developers can write just a few lines of code to perform GPU-accelerated sort, scan...
In short: Boost productivity with Thrust, a powerful GPU-accelerated C++ library for parallel algorithms. Learn how to sort, scan, transform, and reduce operations ord... (AI summary)
Click on the green buttons that describe your target platform. Only supported platforms will be shown. Operating System Before installing the CUDA Toolkit on Linux, please ensure that you have the latest NVIDIA driver R390 installed. The latest NVIDIA R390 driver is available at...
In short: Download CUDA Toolkit 9.1 for Linux with R390 driver support - Optimize your parallel computing tasks (AI summary)
cuDNN provides researchers and developers with high-performance GPU acceleration.
MAGMA is a collection of next generation linear algebra (LA) GPU accelerated libraries designed and implemented by the team that developed LAPACK and ScaLAPACK. MAGMA is for heterogeneous GPU-based architectures, it supports interfaces to...