New Asynchronous Programming Model Library Now Available with NVIDIA HPC SDK v22.11
Celebrating the SuperComputing 2022 international conference, NVIDIA announces the release of HPC Software Development Kit (SDK) v22.11. Members of the NVIDIA...
Accelerating NVIDIA HPC Software with SVE on AWS Graviton3
The latest NVIDIA HPC SDK update expands portability and now supports the Arm-based AWS Graviton3 processor. In this post, you learn how to enable Scalable...
Just Released: New Arm CPU Support and Advancements in HPC SDK 22.7
This release includes enhancements, fixes, and new support for Arm SVE, Rocky Linux OS, and Amazon EC2 C7g instances, powered by the latest generation AWS...
Fueling High-Performance Computing with Full-Stack Innovation
High-performance computing (HPC) has become the essential instrument of scientific discovery. Whether it is discovering new, life-saving drugs, battling...
Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. This week we have several software releases. Software...
Developing Accelerated Code with Standard Language Parallelism
The NVIDIA platform is the most mature and complete platform for accelerated computing. In this post, I address the simplest, most productive, and most portable...
Maximize Performance of HPC Apps with HPC SDK 21.11, Available Now
At the Supercomputing Conference (SC21) NVIDIA preannounced the next update to the HPC SDK. Today, the HPC SDK 21.11 release was posted for free download to...
Maximize Performance and Portability of HPC Apps with HPC SDK v21.11
Today, NVIDIA announced the upcoming HPC SDK 21.11 release with new Library enhancements. This software will be available free of charge in the coming weeks....
Develop the Next Generation of HPC Applications with the NVIDIA Arm HPC Developer Kit
In July of 2021, NVIDIA announced the availability of the NVIDIA Arm HPC Developer Kit for preordering, along with the NVIDIA HPC SDK. Since then NVIDIA and its...
Tensor Cores, which are programmable matrix multiply and accumulate units, were first introduced in the V100 GPUs where they operated on half-precision (16-bit)...
N Ways to SAXPY: Demonstrating the Breadth of GPU Programming Options
Back in 2012, NVIDIAN Mark Harris wrote Six Ways to Saxpy, demonstrating how to perform the SAXPY operation on a GPU in multiple ways, using different languages...
Detecting Divergence Using PCAST to Compare GPU to CPU Results
Parallel Compiler Assisted Software Testing (PCAST) is a feature available in the NVIDIA HPC Fortran, C++, and C compilers. PCAST has two use cases. The first...
