Posts about GPU and accelerator computing with CUDA or OpenCL. Focus on ArrayFire for speedups in real applications. Porting existing CPU applications to the GPU. Since the OpenGL buffers as well as ArrayFire data reside on the GPU, we can use a direct device to device copy rather than using the CPU as an intermediate and the relatively slow PCIe interface.

The 6th International Workshop on OpenCL Oxford, UK May 14-16, 2018. The full programme is now published, including details of the tutorial, workshop, conference and poster sessions. Khronos Group Keynote and Panel.

My newest project is Pharm450. The easiest way to learn pharmacology for USMLE Step 1. Pharm450 packs an entire course on medical pharmacology into a set of entertaining videos that leverage your visual, spatial, and emotional memory so you learn faster and retain more. Reliable computations on an unreliable computer. Make the most of your surgical rotation. Junior resident tips and tricks. How to be a good sub-intern.

Code used in this post was written for Julia v0. And, when applicable, reflects the state of packages used on 2018-03-23. You may need to modify it for different versions. When simulating models with random components, it is frequently advantageous to decompose the structure into. Is 150x faster, and this.

Khronos royalty-free open standards for 3D graphics, Virtual and Augmented Reality, Parallel Computing, Neural Networks, and Vision Processing. Khronos Group Releases Vulkan 1. Vulkan is being used in over 30 cutting-edg.

So I wanted to install and test it on my computer.