Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.
This paper introduces Intel software tools recently made available to accelerate deep learning inference in edge devices (such as smart cameras, robotics, autonomous vehicles, etc.) incorporating Intel® Processor Graphics solutions across the spectrum of Intel SOCs.
In this article, we’ll explore the strides Adobe engineers have made over the last few years to enhance Photoshop using OpenGL* and OpenCL™ to increase hardware utilization.
Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.
This paper introduces Intel software tools recently made available to accelerate deep learning inference in edge devices (such as smart cameras, robotics, autonomous vehicles, etc.) incorporating Intel® Processor Graphics solutions across the spectrum of Intel SOCs.
In this article, we’ll explore the strides Adobe engineers have made over the last few years to enhance Photoshop using OpenGL* and OpenCL™ to increase hardware utilization.
Some ad hoc performance test results for a simple program written in C# as obtained from my current desktop computer: Dell Precision T3600, 16GB RAM, Intel Xeon E5-2665 0 @ 2.40GHz, NVidia GTX Titan.
ABSTRACT This article comprises a detailed overview of the various multicore and parallel programming options available within the C# programming language.
“Programming Massively Parallel Processors (second edition)” by Kirk and Hwu is a very good second book for those interested in getting started with CUDA.
