1. What's New
This is the 20.9 release of the NVIDIA HPC SDK, a comprehensive suite of compilers and libraries enabling developers to program the entire HPC platform, from the GPU foundation to the CPU and through the interconnect.
Key features that are new in the 20.9 release of the NVIDIA HPC SDK for Linux include:
- NVIDIA HPC SDK 20.9 is a maintenance release providing multiple bugfixes and usability enhancements.
- A beta preview of Open MPI 4.0.5 built with support for UCX 1.9.0 is now available.
- The Fortran module for OpenMP has been split into two modules, 'omp_lib' and 'omp_lib_kinds'.
- HPC SDK library and developer tool components have been updated to their newest versions.
2. Release Component Versions
The NVIDIA HPC SDK 20.9 release contains the following versions of each component:
| Linux_x86_64 | Linux_ppc64le | Linux_aarch64 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| CUDA 10.1 | CUDA 10.2 | CUDA 11.0 | CUDA 10.1 | CUDA 10.2 | CUDA 11.0 | CUDA 10.1 | CUDA 10.2 | CUDA 11.0 | |
| nvc++ | 20.9 | 20.9 | 20.9 | ||||||
| nvc | 20.9 | 20.9 | 20.9 | ||||||
| nvfortran | 20.9 | 20.9 | 20.9 | ||||||
| nvcc | 10.1.243 | 10.2.89 | 11.0.228 | 10.1.243 | 10.2.89 | 11.0.228 | N/A | N/A | 11.0.228 |
| NCCL | 2.7.8-1 | 2.7.8-1 | 2.7.8-1 | 2.7.8-1 | 2.7.8-1 | 2.7.8-1 | N/A | N/A | 2.7.8-1 |
| NVSHMEM | 1.1.3 | 1.1.3 | 1.1.3 | 1.1.3 | 1.1.3 | 1.1.3 | N/A | N/A | N/A |
| cuBLAS | 10.2.1.243 | 10.2.2.89 | 11.2.0.252 | 10.2.1.243 | 10.2.2.89 | 11.2.0.252 | N/A | N/A | 11.2.0.252 |
| cuFFT | 10.1.1.243 | 10.1.2.89 | 10.2.1.245 | 10.1.1.243 | 10.1.2.89 | 10.2.1.245 | N/A | N/A | 10.2.1.245 |
| cuRAND | 10.1.1.243 | 10.1.2.89 | 10.2.1.245 | 10.1.1.243 | 10.1.2.89 | 10.2.1.245 | N/A | N/A | 10.2.1.245 |
| cuSOLVER | 10.2.0.243 | 10.3.0.89 | 10.6.0.245 | 10.2.0.243 | 10.3.0.89 | 10.6.0.245 | N/A | N/A | 10.6.0.245 |
| cuSPARSE | 10.3.0.243 | 10.3.1.89 | 11.1.1.245 | 10.3.0.243 | 10.3.1.89 | 11.1.1.245 | N/A | N/A | 11.1.1.245 |
| cuTENSOR | 1.2.0 | 1.2.0 | 1.2.0 | 1.2.0 | 1.2.0 | 1.2.0 | N/A | N/A | 1.2.0 |
| Nsight Compute | 2020.1.0.33-28294165 | 2020.1.0.33-28294165 | 2020.1.0.33-28294165 | ||||||
| Nsight Systems | 2020.3.1.54 CLI and GUI | 2020.3.1.54 CLI | 2020.3.1.54 CLI | ||||||
| OpenMPI | 3.1.5 | 3.1.5 | 3.1.5 | ||||||
| OpenMPI 4 (NVHPC beta) | N/A | N/A | 4.0.5 | N/A | N/A | 4.0.5 | N/A | N/A | 4.0.5 |
| UCX | N/A | N/A | 1.9.0 | N/A | N/A | 1.9.0 | N/A | N/A | 1.9.0 |
| OpenBLAS | 0.3.10 | 0.3.10 | 0.3.10 | ||||||
| Scalapack | 2.1.0 | 2.1.0 | 2.1.0 | ||||||
| Thrust | 1.9.6 | 1.9.7 | 1.9.9 | 1.9.6 | 1.9.7 | 1.9.9 | 1.9.6 | 1.9.7 | 1.9.10 |
| CUB | N/A | N/A | 1.9.9 | N/A | N/A | 1.9.9 | N/A | N/A | 1.9.9 |
| libcu++ | N/A | 1.0.0 | 2.0.0 | N/A | 1.0.0 | 2.0.0 | N/A | 1.0.0 | 2.0.0 |
3. Supported Platforms
3.1. Platform Requirements for the HPC SDK
| Architecture | Linux Distributions | Minimum gcc/glibc Toolchain | Minimum CUDA Driver |
|---|---|---|---|
| x86_64 |
CentOS 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8 |
C99: 4.4 |
418.39 |
| ppc64le |
RHEL 7.3, 7.4, 7.5, 7.6, 7.7, 8.0, 8.1 |
C99: 4.4 |
410.45 |
| aarch64 |
RHEL 8.1 |
C99: 4.4 |
450.36 |
3.2. Supported CUDA Toolkit Versions
The NVIDIA HPC SDK uses elements of the CUDA toolchain when building programs for execution with NVIDIA GPUs. Every HPC SDK installation package puts the required CUDA components into an installation directory called [install-prefix]/[arch]/[nvhpc-version]/cuda.
An NVIDIA CUDA GPU device driver must be installed on a system with a GPU before you can run a program compiled for the GPU on that system. The NVIDIA HPC SDK does not contain CUDA Drivers. You must download and install the appropriate CUDA Driver from NVIDIA , including the CUDA Compatibility Platform if that is required.
The nvaccelinfo tool prints the Driver version as its first line of output. You can use it to find out which version of the CUDA Driver is installed on your system.
- CUDA 10.1
- CUDA 10.2
- CUDA 11.0
4. Known Limitations
- The cuda-gdb debugger is included in this release. Currently, Fortran arrays with non-constant bounds are not handled correctly and querying values will yield incorrect results. Stepping through cuda-fortran and OpenACC kernels is partially supported, but incorrect line numbers are displayed. For additional general limitations with cuda-gdb, please refer to its documentation.
- When using -stdpar to accelerate C++ parallel algorithms, the algorithm calls cannot include virtual function calls or function calls through a function pointer, cannot use C++ exceptions, can only dereference pointers that point to the heap, and must use random access iterators (raw pointers as iterators work best)
- The Open MPI 4.0.5 build with UCX 1.9.0 is a beta feature in the NVIDIA HPC SDK 20.9. It is built with support for MOFED 5.0; users on systems using earlier MOFED versions may encounter compatibility issues.
Notices
Notice
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