Puget Systems News
AMD's new 2nd Gen Ryzen Threadripper processors are absolute monsters, with the 2990WX in particular having 32(!) cores. But are they better than Intel for video editing?
NVIDIAs new GeForce RTX video cards have been all the talk lately. There is a lot of debate on the value that real time ray tracing brings to games, and some questions on how useful these cards will be to traditional ray traced renderers. With these cards becoming available for testing, and reviews starting to come in, many of these questions will be answered. However, there is an aspect to these cards that is often being overlooked: how the advances in real time ray tracing will dramatically cut down on production time before the rendering stage.
DaVinci Resolve is a very GPU-intensive program, but it can still require a powerful CPU to match the amount of GPU power you may put into your system. We have seen diminishing returns with higher core count CPUs in the past, so the question is whether the 32 cores in the Threadripper 2990WX will increase performance or if you are better off with a lower core count CPU.
In the past, AMD's Threadripper CPUs have fared very well in Premiere Pro, but fell behind their Intel counterparts by the slimmest of margins. With the new 32 core Threadripper 2990WX and 16 core 2950X, will AMD finally overtake Intel as the best value for Premiere Pro users?
Photoshop is definitely not the target market for AMD's new Threadripper 2990WX 32 Core or 2950X 16 core CPUs, but even so we wanted to see how it stacks up against the previous generation Threadripper CPUs as well as a number of Intel Core i7/i9 CPUs.
For several years, After Effects has not performed very well with high core count CPUs - instead favoring processors that have higher per-core performance. This means that while AMD's new Threadripper CPUs like the 2990WX and 2950X are very impressive in some applications, they shouldn't be terribly great for After Effects compared to their Intel counterparts.
PyTorch for Scientific Computing - Quantum Mechanics Example Part 4) Full Code Optimizations -- 16000 times faster on a Titan V GPU
This is the 16000 times speedup code optimizations for the scientific computing with PyTorch Quantum Mechanics example. The following quote says a lot, "The big magic is that on the Titan V GPU, with batched tensor algorithms, those million terms are all computed in the same time it would take to compute 1!!!"
The next major update to Adobe Media Encoder, After Effects, Audition, Character Animator, Prelude, and Premiere Pro will no longer support Windows 7, Windows 8, or even older versions of Windows 10. We will step through how to check if you will be affected and what you can do to fix it.
A close friend recently had a defibrillator successfully placed in his chest. I was surprised when he explained how the doctors had him under light sedation where he didn't feel pain, but could hear the doctors converse during the four-hour surgery.
PyTorch for Scientific Computing - Quantum Mechanics Example Part 3) Code Optimizations - Batched Matrix Operations, Cholesky Decomposition and Inverse
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.
Posted in Blog on 08/22/2018 by
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.
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?
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.
PyTorch for Scientific Computing - Quantum Mechanics Example Part 2) Program Before Code Optimizations
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.
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.
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.
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?.
Last week my daughter got pulled over by a policewoman just after midnight for having a light out over the back license plate. After a short reminder that she shouldn't be driving past midnight because she's not 18-years old yet, the policewoman let her off without a citation or warning if she promised to replace the light.
After Effects may not be able to take advantage of the GPU as much as other applications, but the question still comes up: AMD Radeon or NVIDIA GeForce? Which performs better in Ae and which will give you more performance for your dollar?
At first glace, the recent addition of "hardware acceleration" when exporting to H.264 and H.265 in Media Encoder and Premiere Pro provides a huge boost in performance for many users. Unfortunately, it is not a perfect technology and result in lower quality video than using the standard "Software only" mode.
Among the updates notes for Adobe Premiere Pro CC July 2018 (version 12.1.2) was a small note of "Performance improvements for decoding RED Camera Formats". The question is, does this update dramatically increase performance if you work with RED footage or is it just a minor update that doesn't actually affect most users?
AMD vs NVIDIA is typically a very hot topic for PC enthusiasts and we often get requests to compare AMD's Radeon Vega video cards to their NVIDIA GeForce counterparts. Premiere Pro is able to take better advantage of the GPU than most other Adobe applications, but will AMD or NVIDIA give you more bang for your buck?