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HW accelerated GUI apps on Docker - Piergiorgio Niero - Medium
Given that the large majority of examples leveraging Docker are specific to server development and management, Docker is often perceived as a server specific technology instead of a purpose agnostic…
x  port  forward  socket  vnc  host  nvidia  gpu 
5 weeks ago by ianweatherhogg
Headless Rendering
Diary of adventures with headless OpenGL on an EC2 server.
amazon  virtual  gpu  nvidia  graphics 
6 weeks ago by ianweatherhogg
Wiki - AGuideToRustGraphicsLibraries2019
If OpenGL is GPU Javascript, Vulkan is GPU C. It is much lower level, much more general purpose, and (potentially) much easier to write fast code in than OpenGL
rust  gpu 
may 2019 by ianweatherhogg
How to Generate a Vanity Bitcoin Address on AWS
To generating vanity Bitcoin address like _1MasonVyvcWgW6KtWVbhW4hdjEKgii3tZ7 you use a brute force algorythm. Using my 2.6 GHz Macbook Pro I can generate ab...
amazon  cuda  gpu  deployment 
april 2019 by ianweatherhogg
Towards GPGPU JSON parsing | Raph Levien’s blog
The amount of computing resources available on general purpose GPU hardware is vastly greater than in scalar CPUs. A continuing trend is to move computation from CPU to GPGPU. Some computations (most 3D graphics operations, many machine learning tasks) can be expressed efficiently in terms of primitives that GPUs offer. However, tasks such as JSON parsing are traditionally considered as serial algorithms and are not often implemented on GPU.
gpu  rust  csv  json  parser 
october 2018 by ianweatherhogg
Unity3D and Arcadia on GNU/Linux | Jeaye’s Blog
This is my blog about GNU/Linux, functional programming, safety, and security.
archlinux  nvidia  gpu  graphics  driver  unit  clojure 
september 2018 by ianweatherhogg
leblancfg.com – Notes on installing CUDA, CuDNN and Tensorflow on Manjaro
An in-depth, step-by-step guide to installing CUDA, CuDNN and Tensorflow on Linux with an NVIDIA GeFORCE GTX960 graphics card.
gpu  archlinux  installation  tensor  flow 
august 2018 by ianweatherhogg
Which GPU(s) to Get for Deep Learning
You want a cheap high performance GPU for deep learning? In this blog post I will guide through the choices, so you can find the GPU which is best for you.
gpu  deep  learn 
august 2018 by ianweatherhogg
The State of GPGPU in Rust | bheisler.github.io
At work a few months ago, we started experimenting with GPU-acceleration. My boss asked if I was interested. I didn’t know anything about programming GPUs, so of course I said “Heck yes, I’m interested!“. I needed to learn about GPUs in a hurry, and that led to my GPU Path Tracer series. That was a lot of fun, but it showed me that CUDA support in Rust is pretty poor.
rust  gpu  5* 
august 2018 by ianweatherhogg
Running Rust on the GPU with Accel | bheisler.github.io
For the past month or so, I’ve been working on a follow-up to my series on Writing a Raytracer in Rust. This time around, I’ll be talking about writing a GPU-accelerated Path Tracer. As always, I’m writing it in Rust - including the GPU kernel code. Compiling Rust for GPUs at this point is difficult and error-prone, so I thought it would be good to start with some documentation on that aspect of the problem before diving into path tracing.
llvm  rust  gpu  cuda  windows 
june 2018 by ianweatherhogg
The Mailbox Peripheral
Mailbox Overview The Mailbox Peripheral is a peripheral that facilitates communication between the ARM CPU and the VideoCore GPU. It starts at offset 0xB880 ...
arm  gpu  raspberrypi 
february 2018 by ianweatherhogg
Interactive GPU Programming - Part 2 - Hello OpenCL
This is really the same article as Part 1 - Hello CUDA, but with the focus on OpenCL, so I'll skip most of the narration and just show you the code.
clojure  gpu  kernel 
february 2018 by ianweatherhogg
Interactive GPU Programming - Part 1 - Hello CUDA
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
clojure  gpu  kernel 
february 2018 by ianweatherhogg
The whole web at maximum FPS: How WebRender gets rid of jank – Mozilla Hacks – the Web developer blog
The Firefox Quantum release is getting close. It brings many performance improvements, including the super fast CSS engine that we brought over from Servo. But there’s another big piece of ...
mozilla  graphics  gpu  web  gl  frame  buffer  5* 
february 2018 by ianweatherhogg
Interactive GPU Programming - Part 1 - Hello CUDA
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
clojure  gpu  cuda 
january 2018 by ianweatherhogg
Blog
Dragan Djuric and his writings
blogs  clojure  numerical  math  matrix  bayes  cuda  gpu 
january 2018 by ianweatherhogg
CUDA 6.5 on AWS GPU instance running Ubuntu 14.04 - Seven Story Rabbit Hole
Using a pre-built public AMI Based on the instructions in this blog post, I’ve created an AMI and shared it publicly. So the easiest thing to …
amazon  cloud  cuda  gpu 
january 2018 by ianweatherhogg
How to Generate a Vanity Bitcoin Address on AWS
To generating vanity Bitcoin address like _1MasonVyvcWgW6KtWVbhW4hdjEKgii3tZ7 you use a brute force algorythm. Using my 2.6 GHz Macbook Pro I can generate ab...
amazon  cloud  gpu  cuda  bitcoin 
january 2018 by ianweatherhogg
Doom Bots in TensorFlow
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, Postgres, Spark, Python & More...
tensor  flow  bot  4*  gpu  nvidia  python  virtual  env 
march 2017 by ianweatherhogg
Arch Linux Hydra Build | Jason Graves
For a long time now I've been wanting to build my ideal computer. A powerful Linux machine with surrounding monitors. Recently I had the opportunity to do so.
linux  multi  monitor  gpu  5*  archlinux 
october 2016 by ianweatherhogg
brotchie/torch-ubuntu-gpu-ec2-install: Guide for installing Torch machine learning library onto a GPU EC2 instance running Ubuntu
torch-ubuntu-gpu-ec2-install - Guide for installing Torch machine learning library onto a GPU EC2 instance running Ubuntu
amazon  cloud  gpu  neural  network  deployment  cuda  driver 
june 2016 by ianweatherhogg
#Bilinear interpolation with nvidia CUDA C
The aim of this article is to get acquainted with bilinear interpolation technique and implement demo program which is going to scale given input image using nvidia CUDA SDK and SDL. The concept of interpolation is not explained here.
linux  graphics  card  cuda  gpu 
february 2016 by ianweatherhogg
The Best GPUs for Deep Learning
You want a cheap high performance GPU for deep learning? In this blog post I will guide through the choices, so you can find the GPU which is best for you.
gpu  deep  learn  computer  build  5* 
december 2015 by ianweatherhogg
Tutorial: Spark-GPU Cluster Dev in a Notebook - i am trask
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ipython  note  book  gpu  cluster  spark 
july 2015 by ianweatherhogg
i am trask
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python  neural  network  machine  learn  numpy  spark  gpu  cluster 
july 2015 by ianweatherhogg
A Full Hardware Guide to Deep Learning | Deep Learning
Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning system is to waste money on hardware that is unnecessary. Here I will guide you…
gpu  machine  learn  hardware  ssd  multi  4* 
march 2015 by ianweatherhogg
Code And Graphics: Flexible particle system - OpenGL Renderer
Description of the OpenGL renderer used in my particle system.
cpp  open  gl  shader  helloworld  gpu 
december 2014 by ianweatherhogg
Blog Archive - Eric Holk
Blog Archive 2014 Monads as a Design Pattern May 24 2014 posted in Programming, Scheme On Being an Artifact Evaluator Apr 02 2014 Rust Project …
blogs  scheme  data  structure  parallel  programming  filter  scan  map  gpu  algorithm  rust  5*  reduce 
july 2013 by ianweatherhogg
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