Abstract: Convolution is one of the most important operators used in image processing. With the constant need to increase the performance in high-end applications and the rise and popularity of ...
This project focuses on implementing a parallel convolution-based edge detection algorithm, with support for both CPU and GPU computations. It employs OpenMP for parallelism on the CPU and MPI for ...
GPUs are ubiquitous and fast. They have transformed graphics rendering virtual 3D worlds in real time. They are also becoming major workhorses in supercomputing. The Mathworks Matlab GPU support is a ...
Synchronization between threads has been taken care to maintain the correct state. Achieved ~400x performance gain as compared to sequential CPU based execution.
When Nvidia kicked off the GPU conference a couple of weeks ago, one of the first things they announced was that MATLAB now supports GPUs. This is a key milestone, as it essentially means that anyone ...
John Melonakos, CEO and Co-Founder of AccelerEyes, talks with Technology Editor Bill Wong about Matlab and GPU acceleration technology. I recently spoke with John Melonakos, CEO and Co-Founder of ...
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 ...
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