gpu   8853

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[1806.07060] A model-driven approach for a new generation of adaptive libraries
Efficient high-performance libraries often expose multiple tunable parameters to provide highly optimized routines. These can range from simple loop unroll factors or vector sizes all the way to algorithmic changes, given that some implementations can be more suitable for certain devices by exploiting hardware characteristics such as local memories and vector units. Traditionally, such parameters and algorithmic choices are tuned and then hard-coded for a specific architecture and fo...
machine-learning  gpu  libraries 
yesterday by hschilling
What is Futhark? | Futhark - A High Performance Functional Array Language
Futhark is a small programming language designed to be compiled to efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimising ahead-of-time compiler that presently generates GPU code via OpenCL, although the language itself is hardware-agnostic. As a simple example, this function computes the average of an array of 64-bit floating-point numbers:
functional  gpu  data  apl 
2 days ago by cothrun
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 
5 days ago by ianweatherhogg
Paperspace: Cloud Machine Learning, AI, and effortless GPU infrastructure.
We are building out the world's most powerful GPU cloud. Accelerate your ML, AI, and data science workflow. Paperspace is trusted by some of the world's most respected companies. Learn more about how Paperspace can work for your business. via Pocket
cloud  gpu  infrastructure  machine  neural 
5 days ago by kintopp
deck.gl
WebGL2 powered geospatial visualization layers
webgl  geospatial  gpu  MIT  datavis 
6 days ago by sushidub
Experiments in GPU-based occlusion culling part 2: MultiDrawIndirect and mesh lodding – Interplay of Light
related to the skysaga digitialdragons talk.

This one goes into more detail about choosing LODs on the GPU as well.
culling  gpu 
8 days ago by MemoryStomp
GPUOpen
an AMD initiative designed to enable developers to create ground-breaking PC games, computer generated imagery and GPU computing applications for great performance and lifelike experiences using no cost and open development tools and software.
gpu  gpgpu  hardware  computergraphics 
10 days ago by Z303

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