Rekha Mukund

Rekha Mukund is a senior product manager in the compute group at NVIDIA. She leads the CUDA Tegra product line for the Nvidia Jetson, NVIDIA DRIVE, and NVIDIA Shield TV platforms, and also oversees the CUDA OS support and OpenCL initiatives. Before joining NVIDIA, Rekha worked with Cisco for eight years in the PayTV technology domain. She is a gold medalist in B.E. computer science from the University Visvesvaraya College of Engineering (UVCE) in India, a national-level table tennis player, and a seasoned globetrotter.
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Posts by Rekha Mukund

Edge Computing Sep 02, 2025

What’s New in CUDA Toolkit 13.0 for Jetson Thor: Unified Arm Ecosystem and More

The world of embedded and edge computing is about to get faster, more efficient, and more versatile with the upcoming CUDA 13.0 release for Jetson Thor SoC... 12 MIN READ
Robotics Oct 04, 2022

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
Simulation / Modeling / Design Oct 04, 2022

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
Simulation / Modeling / Design Feb 24, 2022

Using Semaphore and Memory Sharing Extensions for Vulkan Interop with NVIDIA OpenCL

OpenCL is evolving the way it can interoperate with other APIs, such as Vulkan. This post gives you a tour of the new style of OpenCL interop, which is already... 6 MIN READ
Simulation / Modeling / Design Nov 02, 2021

Accelerating Product Development with Physics-Informed Neural Networks and NVIDIA PhysicsNeMo

Simulations have been widely used to model a variety of real-world problems in the science and engineering domains. Recent developments in AI and machine... 11 MIN READ
Simulation / Modeling / Design Sep 09, 2021

Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management

Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute... 11 MIN READ