CUDA

Aug 22, 2023

Simplifying GPU Application Development with Heterogeneous Memory Management

Heterogeneous Memory Management (HMM) is a CUDA memory management feature that extends the simplicity and productivity of the CUDA Unified Memory programming...

16 MIN READ

Jul 19, 2023

Programming the Quantum-Classical Supercomputer

Heterogeneous computing architectures—those that incorporate a variety of processor types working in tandem—have proven extremely valuable in the continued...

9 MIN READ

Jun 28, 2023

Improving GPU Performance by Reducing Instruction Cache Misses

GPUs are specially designed to crunch through massive amounts of data at high speed. They have a large amount of compute resources, called streaming...

11 MIN READ

Jun 05, 2023

CUDA 12.1 Supports Large Kernel Parameters

CUDA kernel function parameters are passed to the device through constant memory and have been limited to 4,096 bytes. CUDA 12.1 increases this parameter limit...

5 MIN READ

Jun 02, 2023

Harnessing the Power of NVIDIA AI Enterprise on Azure Machine Learning

AI is transforming industries, automating processes, and opening new opportunities for innovation in the rapidly evolving technological landscape. As more...

7 MIN READ

May 17, 2023

Webinar: Performant Multiphase Flow Simulation at Leadership-Class Scale

On June 6, learn how researchers use OpenACC for GPU acceleration of multiphase and compressible flow solvers that obtain speedups at scale.

1 MIN READ

Picture of a 25 mph speed limit sign and actual speed of 27 mph displayed.

May 16, 2023

Asynchronous Error Reporting: When printf Just Won’t Do

Some programming situations call for reporting “soft” errors asynchronously. While printf can be a useful tool, it can increase register use and impact...

17 MIN READ

Apr 20, 2023

Debugging a Mixed Python and C Language Stack

Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill...

18 MIN READ

Apr 14, 2023

A Guide to CUDA Graphs in GROMACS 2023

GPUs continue to get faster with each new generation, and it is often the case that each activity on the GPU (such as a kernel or memory copy) completes very...

13 MIN READ

Apr 04, 2023

Topic Modeling and Image Classification with Dataiku and NVIDIA Data Science

The Dataiku platform for everyday AI simplifies deep learning. Use cases are far-reaching, from image classification to object detection and natural language...

11 MIN READ

Mar 07, 2023

Developing an End-to-End Auto Labeling Pipeline for Autonomous Vehicle Perception

Accurately annotated datasets are crucial for camera-based deep learning algorithms to perform autonomous vehicle perception. However, manually labeling data is...

6 MIN READ

Mar 06, 2023

Maximizing Performance with Massively Parallel Hash Maps on GPUs

Decades of computer science history have been devoted to devising solutions for efficient storage and retrieval of information. Hash maps (or hash tables) are a...

19 MIN READ

Mar 01, 2023

Just Released: CUDA Toolkit 12.1

Available now for download, the CUDA Toolkit 12.1 release provides support for NVIDIA Hopper and NVIDIA Ada Lovelace architecture.

1 MIN READ

Feb 28, 2023

Just Released: NVIDIA Nsight Compute 2023.1

NVIDIA Nsight Compute 2023.1 adds more metrics and usability to the source view, a sample for shared memory banks, and improves the application replay...

1 MIN READ

Feb 10, 2023

Fast Large-Scale Agent-based Simulations on NVIDIA GPUs with FLAME GPU

The COVID-19 pandemic has brought the focus of agent-based modeling and simulation (ABMS) to the public’s attention. It’s a powerful computational technique...

19 MIN READ

Jan 31, 2023

Accelerating Python Applications with cuNumeric and Legate

cuNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API that supports all NumPy features, such as...

14 MIN READ