CUDA Toolkit - Free Tools and Training | NVIDIA Developer
Learn about the new features and benefits of CUDA 12, the latest version of the NVIDIA CUDA Toolkit for GPU-accelerated applications. CUDA 12 supports the NVIDIA Hopper and Ada Lovelace architectures, Arm server processors, lazy loading, dynamic parallelism, and more.
CUDA Toolkit 12.0 Released for General Availability
2022年12月12日 · New architecture-specific features and instructions in the NVIDIA Hopper and NVIDIA Ada Lovelace architectures are now targetable with CUDA custom code, enhanced libraries, and developer tools. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise ...
CUDA Toolkit 12.6 Update 3 Downloads - NVIDIA Developer
Download the latest version of CUDA Toolkit for Linux or Windows platforms. CUDA Toolkit 12.6 Update 2 includes bug fixes, security updates, and new features for GPU-accelerated computing.
NVIDIA CUDA-Q Runs Breakthrough Logical Qubit Application on …
2024年12月10日 · Infleqtion’s breakthrough logical qubit demonstration was enabled by the versatility and performance of CUDA-Q. Now that CUDA-Q code can run on Infleqtion’s Sqale neutral atom QPU, it’s easier than ever to start building and accelerating logical qubit applications. To get started, download CUDA-Q.
Accelerating Google’s QPU Development with New Quantum …
2024年11月18日 · Researchers can tap directly into the powerful code driving CUDA-Q dynamics calculations, and use the low-level NVIDIA cuQuantum SDK library to develop quantum dynamics simulators around their own custom solvers. This post explores how Google has been using this CUDA-Q functionality to simulate components of their QPUs.
Advantage of templated cuda kernel? - NVIDIA Developer Forums
2024年7月20日 · There is often performance advantage for CASE A, as the CUDA compiler, or any C++ compiler for that matter, can trivially propagate compile-time constant template parameters M and N into the function body, where they are propagated further by standard constant-propagation optimizations, which can then can enable a whole slew of other ...
Exploring the New Features of CUDA 11.3 | NVIDIA Technical Blog
A new version of libcu++ 1.4.1 is being released with the CUDA 11.3 toolkit release. The CUDA 11.3 toolkit release also includes CUB 1.11.0 and Thrust 1.11.0, which are major releases providing bug fixes and performance enhancements.
Can I use "operator new" in device code? - CUDA Programming …
2015年4月12日 · After some quick searching, it seems to me that I should be able to use “operator new” in device code if I am compiling with at least compute 2.0. However, I have tried with both 2.0 and 3.0, but I am still getting an error about calling a host function (“operator new”) from a device function.
New to CUDA, simple kernel give output of zero.
2010年4月4日 · I’m a programmer new to CUDA, looking to use GPGPU in a certain embarrassingly parallel problem I’m working on. I recently found out that my crappy integrated Geforce 8200 chipset actually supports CUDA, so I installed d…
NVIDIA Partners Accelerate Quantum Breakthroughs with AI …
2024年11月18日 · Using the CUDA-Q platform, NVIDIA and Moderna are developing a QELM workflow to predict biomolecule binding affinity. CUDA-Q accelerated simulations enable leveraging the large qubit numbers needed to see improvements in QELM test set accuracies.