Fred Oh

Fred is a senior product marketing manager for CUDA, CUDA on WSL, and CUDA Python. Fred has a B.S. in Computer Science and Math from UC Davis. He began his career as a UNIX software engineer porting kernel services and device drivers to x86 architectures. He loves Star Wars, Star Trek and the NBA Warriors.
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Posts by Fred Oh

Technical Walkthrough 6

Simplifying CUDA Upgrades for NVIDIA Jetson Users

NVIDIA JetPack provides a full development environment for hardware-accelerated AI-at-the-edge on Jetson platforms. Previously, a standalone version of NVIDIA... 10 MIN READ
News 12

CUDA Toolkit 11.8 New Features Revealed

NVIDIA announces the newest CUDA Toolkit software release, 11.8. This release is focused on enhancing the programming model and CUDA application speedup through... 4 MIN READ
CUDA 16x9 Aspect Ratio
Technical Walkthrough 1

Boosting Application Performance with GPU Memory Access Tuning

NVIDIA GPUs have enormous compute power and typically need to be fed data at high speed to deploy that power. That is possible, in principle, since GPUs also... 13 MIN READ
CUDA 16x9 Aspect Ratio
News 14

NVIDIA Releases Open-Source GPU Kernel Modules

NVIDIA is now publishing Linux GPU kernel modules as open source with dual GPL/MIT license, starting with the R515 driver release. You can find the source code... 8 MIN READ
Technical Walkthrough 0

Boosting Application Performance with GPU Memory Prefetching

NVIDIA GPUs have enormous compute power and typically must be fed data at high speed to deploy that power. That is possible, in principle, because GPUs also... 10 MIN READ
Technical Walkthrough 0

Creating Differentiable Graphics and Physics Simulation in Python with NVIDIA Warp

Typically, real-time physics simulation code is written in low-level CUDA C++ for maximum performance. In this post, we introduce NVIDIA Warp, a new Python... 9 MIN READ