By using this container image, you agree to the [NVIDIA HPC SDK
End-User License
Agreement](https://docs.nvidia.com/hpc-sdk/eula)

# NVIDIA HPC SDK

The [NVIDIA HPC SDK](https://developer.nvidia.com/hpc-sdk) is a 
comprehensive suite of compilers, libraries and tools essential
to maximizing developer productivity and the performance 
and portability of HPC applications. 
The NVIDIA HPC SDK C, C++, and
Fortran compilers support GPU acceleration of HPC modeling and
simulation applications with standard C++ and Fortran, OpenACC
directives, and CUDA. GPU-accelerated math libraries maximize
performance on common HPC algorithms, and optimized communications
libraries enable standards-based multi-GPU and scalable systems
programming. Performance profiling and debugging tools simplify
porting and optimization of HPC applications, and containerization
tools enable easy deployment on-premises or in the cloud.

Key features of the NVIDIA HPC SDK for Linux include:

* Support for NVIDIA Hopper architecture GPUs
* Support for NVIDIA Ampere Architecture GPUs with FP16, TF32 and FP64
 tensor cores and MIG
* Support for NVIDIA Volta tensor core GPUs and NVIDIA Pascal GPUs
* Supported on CUDA 12.3, 12.2, 12.1, 12.0, 11.8, 11.7, 11.6, 11.5, 11.4, 11.3, 11.2, 11.1, and 11.0
* Support for x86-64, OpenPOWER and Arm Server multicore CPUs
* NVC++ ISO C++17 compiler with Parallel Algorithms acceleration on
 GPUs, OpenACC and OpenMP
* NVFORTRAN ISO Fortran 2003 compiler with array intrinsics
 acceleration on GPUs, CUDA Fortran, OpenACC and OpenMP
* NVC ISO C11 compiler with OpenACC and OpenMP
* NVCC NVIDIA CUDA C++ compiler
* cuBLAS GPU-accelerated basic linear algebra subroutine (BLAS) library
* cuSOLVER GPU-accelerated dense and sparse direct solvers
* cuSPARSE GPU-accelerated BLAS for sparse matrices
* cuFFT GPU-accelerated library for Fast Fourier Transforms
* cuTENSOR GPU-accelerated tensor linear algebra library
* cuRAND GPU-accelerated random number generation (RNG)
* Thrust GPU-accelerated library of C++ parallel algorithms and data structures
* CUB cooperative threadblock primitives and utilities for CUDA kernel
 programming
* libcu++ opt-in heterogeneous CUDA C++ Standard Library for NVCC
* NCCL library for fast multi-GPU/multi-node collective communications
* NVSHMEM library for fast GPU memory-to-memory transfers (OpenSHMEM
 compatible)
* Open MPI GPU-aware message passing interface library
* NVIDIA Nsight Systems interactive HPC applications performance profiler
* NVIDIA Nsight Compute interactive GPU compute kernel performance profiler

## System Requirements

Before running the NVIDIA HPC SDK NGC container, please ensure that
your system meets the following requirements.

* Pascal (sm60), Volta (sm70), Turing (sm75), Ampere (sm80), or Hopper (sm90) NVIDIA GPU(s)
* CUDA driver version >= 440.33 for CUDA 10.2
* Docker 19.03 or later which includes support for the `--gpus` option,
 or Singularity version 3.4.1 or later
* For older Docker versions, use [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) >= 2.0.3

When using the "cuda_multi" images, the NVIDIA HPC SDK will automatically choose among
CUDA versions 11.8 or 12.3 based on your installed
driver. See the [NVIDIA HPC SDK User's
Guide](https://docs.nvidia.com/hpc-sdk) for more information on using
different [CUDA Toolkit
versions](https://docs.nvidia.com/hpc-sdk/compilers/hpc-compilers-user-guide/index.html#cuda-toolkit-versions).

Multiarch containers for Arm (aarch64) and x86_64 are available for select tags starting with version 21.7.

## Running the NVIDIA HPC SDK

Please see the [NVIDIA HPC SDK User's
Guide](https://docs.nvidia.com/hpc-sdk) for getting started with the
HPC SDK.

Refer to the [HPC SDK Container
Guide](https://docs.nvidia.com/hpc-sdk/hpc-sdk-container/index.html)
for more information on how to use the HPC SDK containers.

For a general guide on pulling and running containers, see [Pulling A
Container
image](https://docs.nvidia.com/ngc/ngc-catalog-user-guide/index.html#pullcontainer)
and [Running A
Container](https://docs.nvidia.com/ngc/ngc-catalog-user-guide/index.html#runcont)
in the [NGC Container User
Guide](https://docs.nvidia.com/ngc/ngc-catalog-user-guide/index.html#abstract).

## Resources

* [NVIDIA HPC SDK Product Page](https://developer.nvidia.com/hpc-sdk)
* [HPC SDK Documentation](https://docs.nvidia.com/hpc-sdk/index.html)
* [NVIDIA HPC SDK Container Guide](https://docs.nvidia.com/hpc-sdk/hpc-sdk-container/index.html)
* [GTC Digital 2020 Webinar](https://developer.nvidia.com/gtc/2020/video/s21766)
* [Developer Forums](https://forums.developer.nvidia.com/)

nvhpc

The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.

NVIDIA HPC SDK

Features

Description

Publisher

Latest Tag

Modified

Compressed Size

Multinode Support

Multi-Arch Support

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