CUDA
13 个内容
September 2022
Learn about the latest additions to the CUDA platform, Language and Toolkit, and what the new Hopper GPU architecture brings to CUDA. Presented by one of the architects of CUDA, this engineer-focused session covers all the latest developments for NVIDIA's GPU developer ecosystem as well as looking …
September 2022
This session will introduce new features in CUDA for programming Hopper architecture. The new programming model for Hopper is more hierarchical and asynchronous. CUDA programming for Hopper introduces optional level of hierarchy called Thread Block clusters, that enable multiple thread blocks …
September 2022
The upcoming Hopper-based platforms, as well as the Grace Hopper Superchip are exciting developments for high-performance computing. Taking advantage of this new hardware performance takes great software, and CUDA developer tools are here to help. We'll give a brief overview of the …
September 2022
NVIDIA’s new Hopper GPUs contain advanced features that can unleash tremendous application performance, but they can also require some new techniques for different ways of coding your applications. Learn how to access Hopper’s advanced capabilities and squeeze all the juice from your …
September 2022
Come for an introduction to programming the GPU by the lead architect of CUDA. CUDA's unique in being a programming language designed and built hand-in-hand with the hardware that it runs on. Stepping up from last year's "How GPU Computing Works" deep dive into the architecture of the GPU,…
March 2022
Learn about the latest additions to the CUDA platform: Language and Toolkit. Presented by one of the architects of CUDA, this engineer-focused session covers all the latest developments for NVIDIA's GPU developer ecosystem as well as looking ahead to where CUDA will be going over the coming year.
March 2022
Come for an introduction to programming the GPU by the lead architect of CUDA. CUDA's unique in being a programming language designed and built hand-in-hand with the hardware that it runs on. Stepping up from last year's "How GPU Computing Works" deep dive into the architecture of the GPU,…
March 2022
Take a deep dive into the latest developments in NVIDIA software for high performance computing applications, including a comprehensive look at what’s new in programming models, compilers, libraries, and tools. We'll cover topics of interest to HPC developers, targeting traditional HPC …
March 2022
CUDA C++, CUDA Fortran, and OpenACC are hugely successful approaches to GPU programming, but wouldn’t it be nice to write an application that can run on GPUs and multicore CPUs out of the box, without any additional APIs? The parallelism features available in ISO C++ and ISO Fortran enable …
March 2022
Using separate compilation with CUDA can negatively affect performance, so CUDA has introduced Link Time Optimization to regain optimal performance. We'll cover both offline and online use of Link Time Optimization, as well as a new optimization that removes unused kernels and variables in conjunction…
March 2022
We'll present a method and set of tools for finding bugs and ensuring program correctness in CUDA-based HPC applications. We'll provide a hands-on overview of Arm DDT, a cross-platform, integrated environment for debugging parallel codes at any scale. We'll demonstrate how to detect and fix …
March 2022
Curious about the future of C++? Interested in learning about C++'s plans for concurrent, parallel, and heterogeneous programming? Join us for a lively discussion of C++'s roadmap by members of the Standard C++ committee.
March 2020
NVIDIA Ampere GPU Architecture delivers exciting new capabilities to take your algorithms to the next level of performance. Learn how to load shared memory at the speed of light, exert control over cache residency, and configure flexible synchronization patterns. Be delighted by how easily shared …