Users can also use MATLAB Distributed Computing Server, a MathWorks product targeted for larger resources such as clusters and cloud computing resources, to run their GPU code on GPU-equipped ...

Plugging GPUs into MATLAB makes slow running code fast, can be done at the low cost of a GPU, andpreserves the rapid prototyping qualities that make MATLAB so convenient through Jacket’s ...

AccelerEyes announced yesterday a new beta release of their software, Jacket. John Melonakos, CEO of AccelerEyes, sent me an email about the announcement and the product Jacket is a GPU engine for ...

With GPU Coder™, engineers can automatically generate optimized CUDA code from MATLAB functions, allowing them to build custom operators within the Holoscan SDK.

GTC 2010: Massive advances in computational biology During the Nvidia GTC 2010 Keynote, CEO Jen-Hsun Huang announced that MATLAB and Amber (PMEMD) are capable of receiving CUDA acceleration usi ...

GPUs give machine learning algorithms a powerful performance boost. The GPU Coder from Mathworks generates the appropriate code. But how does the machine acquire such intelligence? For ...

Software versions used were MATLAB(R2017b), TensorFlow(1.2.0), and Caffe2(0.8.1). The GPU accelerated versions of each software were used for benchmarks. All tests were run on Windows 10.

Jill Reese and Sarah Zaranek of MathWorks have published a paper on GPU Programming in MATLAB. Engineers and scientists are successfully employing GPU technology, originally intended for accelerating ...

Faster computations achieved with access to NVIDIA GPUs via Parallel Computing Toolbox. NATICK, Mass. - Sep 20, 2010 -- Today at the GPU Technology Conference (GTC), MathWorks announced support for ...

NATICK, Mass. - Sep 20, 2010 -- Today at the GPU Technology Conference (GTC), MathWorks announced support for NVIDIA graphics processing units (GPUs) in MATLAB applications using Parallel Computing ...