This is a demo of 3 particle systems that I implemented using DirectX 11 for rendering and Compute Shader for particle physics.

Each demo was recorded with Fraps in a Phenom II X4 965, 4GB Ram, Radeon HD 7850 and Windows 8, and ran at 60 FPS (I limited FPS to 60) 71 more words

## Tags » GPGPU

#### Particle Systems using Direct Compute

#### Using GPUs to solve Spatial FitzHugh-Nagumo Equation Numerically

### Introduction

Modeling Action PotentialsIn neurophysiology, we wish to model how electrical impulses travel along the complex structures of neurons. In particular, along the axon since it is the principle outbound channel of the neuron. 3,002 more words

#### Implementing parallel GPU function in CUDA for R

There are existing R packages for CUDA. But if there is a need to customize your own parallel code on NVIDIA GPU to be called from R, it is possible to do so with the CUDA Toolkit. 293 more words

#### NVIDIA Launches New GPUs For Deep Learning Applications, Partners With Mesosphere

The days when GPUs were only about letting you play Crysis with a higher framerate are long over. Many of the most transformative new computational techniques now rely on GPUs’ ability to quickly run certain algorithms in parallel. 304 more words

#### k-Means Clustering using CUDAfy.NET

### Introduction

I’ve been wanting to learn how to utilize general purpose graphics processing units (GPGPUs) to speed up computation intensive machine learning algorithms, so I took some time to test the waters by implementing a parallelized version of the unsupervised… 5,972 more words