Hi there! I recently completed the Accelerated Computing with CUDA C/C++ Certification Course by NVIDIA, and I wanted to share my experience and everything I learned along the way. This course was a ...
You will collect results (i.e. run performance tests) for this assignment on GPU-enabled VMs on Amazon Web Services (AWS). Please follow the instructions in cloud ...
Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...
AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...
NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.
The University of Illinois at Urbana-Champaign (UIUC) has been named Nvidia's first CUDA "Center of Excellence" for adopting parallel computing strategies and applying them to research. The university ...
Abstract: Due to new enhancements in the field of computer architecture and the proliferation of heterogeneous computing devices, there is an increasing demand for portable and efficient programming ...
NVIDIA TAPS PROCESSING POWER OF GEFORCE GPUS FOR MORE THAN GRAPHICS New Consumer Application Pack Uses NVIDIA CUDA Technology to Improve Performance Beyond Graphics on NVIDIA GeForce GPUs SANTA CLARA, ...
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