Jonathan Bentz

Jonathan Bentz leads the CUDA technical marketing engineering team at NVIDIA, where his team focuses on creating and delivering engaging content and connecting with CUDA developers. Jonathan holds a PhD in Chemistry and a master’s degree in Computer Science from Iowa State University.
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Posts by Jonathan Bentz

Development & Optimization

What’s New and Important in CUDA Toolkit 13.0

The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it... 19 MIN READ
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Development & Optimization

Navigating GPU Architecture Support: A Guide for NVIDIA CUDA Developers

If you’ve used the NVIDIA CUDA Compiler (NVCC) for your NVIDIA GPU application recently, you may have encountered a warning message like the following: nvcc... 6 MIN READ
Development & Optimization

Advanced NVIDIA CUDA Kernel Optimization Techniques: Handwritten PTX

As accelerated computing continues to drive application performance in all areas of AI and scientific computing, there's a renewed interest in GPU optimization... 11 MIN READ
Models / Libraries / Frameworks

Just Released: CUDA 12.9

New features include enhancements to confidential computing and family-specific features and targets supported by NVCC.  1 MIN READ
Simulation / Modeling / Design

NVIDIA Blackwell and NVIDIA CUDA 12.9 Introduce Family-Specific Architecture Features

One of the earliest architectural design decisions that went into the CUDA platform for NVIDIA GPUs was support for backward compatibility of GPU code. This... 14 MIN READ
Simulation / Modeling / Design

NVIDIA cuPyNumeric 25.03 Now Fully Open Source with PIP and HDF5 Support

NVIDIA cuPyNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for NumPy built on top of the Legate framework. It brings... 4 MIN READ