Rekha Mukund

Rekha Mukund is a product manager in the compute group at NVIDIA driving the CUDA Tegra product for the Automotive, Jetson, and Android platforms. She also manages the NVIDIA SimNet product and OpenCL initiatives. Before joining NVIDIA, Rekha worked with Cisco for over eight years in the PayTV technology domain. She is a gold medalist in B.E.Computer Science from University Visvesvaraya College of Engineering (UVCE) - India, a national-level table tennis player and an avid traveler.
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Posts by Rekha Mukund

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
Technical Walkthrough 0

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
Technical Walkthrough 0

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

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
Technical Walkthrough 0

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
Technical Walkthrough 0

Using Physics-Informed Deep Learning for Transport in Porous Media

Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources,... 8 MIN READ