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PyTorch for Scientific Computing – Quantum Mechanics Example Part 3) Code Optimizations – Batched Matrix Operations, Cholesky Decomposition and Inverse

HPC Post Posted on August 31, 2018 by Dr. Donald Kinghorn

An amazing result in this testing is that “batched” code ran in constant time on the GPU. That means that doing the Cholesky decomposition on 1 million matrices took the same amount of time as it did with 10 matrices!

In this post we start looking at performance optimization for the Quantum Mechanics problem/code presented in the first 2 posts. This is the start of the promise to make the code over 15,000 times faster! I still find the speedup hard to believe but it turns out little things can make a big difference.

Feel the power of VR at Pacific Science Center this summer!

Post Posted on August 22, 2018 by Kelly Blake

Transform into a tree or experience a billion years in just 10 minutes! No matter the experience you choose, you will be going back for more.

What Does the Launch of the GeForce RTX 20 Series Mean for the Future?

Post Posted on August 20, 2018 by William George

Like many of you, I was glued to my computer screen this morning during NVIDIA’s live-stream of the GeForce RTX 20 series launch. But what exactly was shown today, and what does it mean for the future of gaming, virtual reality, and other GPU-based applications?

Setting Graphics Card Software to Display 10-bit Output

Hardware Article Posted on August 17, 2018 by Jeff Stubbers

After choosing a 10-bit per channel graphics card (AMD Radeon Pro / Nvidia Quadro), and connecting it to a 10-bit monitor, you will want to make sure the graphics card is set to display 10 bit output in its software.

Puget Systems Talk About Building Hardware Solutions For Virtual Reality

Press Page Posted on August 17, 2018 by Jeremy Thomas

VRFocus sat down with Wilson Chau, Customer Service Lead at Puget Systems to discuss the companies focus to deliver virtual reality (VR) ready solutions.

PyTorch for Scientific Computing – Quantum Mechanics Example Part 2) Program Before Code Optimizations

HPC Post Posted on August 16, 2018 by Dr. Donald Kinghorn

This is the second post on using Pytorch for Scientific computing. I’m doing an example from Quantum Mechanics. In this post we go through the formulas that need to coded and write them up in PyTorch and give everything a test.

Cinema 4D: AMD Threadripper 2990WX Performance

Hardware Article Posted on August 13, 2018 by William George

AMD just updated their high-performance Threadripper processor series, and the new top-end model – the 2990WX – has given the highest Cinebench multi-core score we’ve seen from a single CPU. This article will look at how it stacks up to the older Threadripper 1950X and a selection of Intel chips… and just as importantly, how it performs in single-core mode.

V-Ray CPU Rendering: AMD Threadripper 2990WX Takes the Single CPU Performance Crown

Hardware Article Posted on August 13, 2018 by William George

AMD just updated their high-performance Threadripper processor series, and the new top-end model – the 2990WX – is the fastest single CPU we’ve ever tested in V-Ray. This article will look at how it stacks up to other AMD and Intel chips, as well as Intel’s dual Xeon configurations.

Resolving NVIDIA Quadro OpenGL Kernel Exception

Support Article Posted on August 10, 2018 by Jon Allman

If you are encountering an OpenGL crash due to kernel exception error code: 3 (subcode 2), then check out this article for a solution!

DaVinci Resolve 14: NVIDIA GeForce vs AMD Radeon Vega

Hardware Article Posted on August 7, 2018 by Matt Bach

DaVinci Resolve is able to heavily utilize the GPU (or multiple GPUs) to greatly improve performance, but are you better off using an NVIDIA GeForce card or an AMD Radeon card?.