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...
You could make an argument that the history of civilization and technological advancement is the history of the search and discovery of materials. Ages are...
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...
Introducing NVIDIA CUDA Quantum: The Platform for Hybrid Quantum-Classical Computing
The past decade has seen quantum computing leap out of academic labs into the mainstream. Efforts to build better quantum computers proliferate at both startups...
Boosting Inline Packet Processing Using DPDK and GPUdev with GPUs
The inline processing of network packets using GPUs is a packet-analysis technique useful to a number of different application domains: signal processing,...
Multi-GPU Programming with Standard Parallel C++, Part 2
This is the third post in the Standard Parallel Programming series, about the advantages of using parallelism in standard languages for accelerated computing....
Multi-GPU Programming with Standard Parallel C++, Part 1
This is the second post in the Standard Parallel Programming series, about the advantages of using parallelism in standard languages for accelerated computing....
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...
CUDA is the software development platform for building GPU-accelerated applications, providing all the components you need to develop applications that use...
