GPGPU

Great Reads

CudaPAD

by Ryan S White

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of your Cuda code.

Easy OpenCL Multiple Device Load Balancing and Pipelining For C#: Cekirdekler API

by tugrulGtx

Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.

Massively Parallel Monte Carlo Simulation using GPU

by Adnan Boz

In this blog post, I’m diving deeper into Thrust usage scenarios with a simple implementation of Monte Carlo Simulation.

Part 1: OpenCL™ – Portable Parallelism

by manythreads

Curious about GPGPU programming? Read Rob Farber’s Massively Parallel Programming series. Learn how to get more from your CPU, GPU, APU, DSP, and more.

Latest Articles

CudaPAD

by Ryan S White

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of your Cuda code.

Easy OpenCL Multiple Device Load Balancing and Pipelining For C#: Cekirdekler API

by tugrulGtx

Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.

GCN Assembler for AMD GPUs

by Ryan S White

an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language

High Performance Queries: GPU vs. PLINQ vs. LINQ

by Nick Kopp

How to get 30x performance increase for queries by using your Graphics Processing Unit (GPU) instead of LINQ and PLINQ.

All Articles

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GPGPU

CudaPAD

11 Jul 2020

Ryan S White

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of your Cuda code.

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CUDA

Easy OpenCL Multiple Device Load Balancing and Pipelining For C#: Cekirdekler API

5 Oct 2017

tugrulGtx

Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.

Part 1: OpenCL™ – Portable Parallelism

17 Sep 2010

manythreads

Curious about GPGPU programming? Read Rob Farber’s Massively Parallel Programming series. Learn how to get more from your CPU, GPU, APU, DSP, and more.

High Performance Queries: GPU vs. PLINQ vs. LINQ

16 Sep 2013

Nick Kopp

How to get 30x performance increase for queries by using your Graphics Processing Unit (GPU) instead of LINQ and PLINQ.

GPGPU on Accelerating Wave PDE

13 Oct 2012

Alesiani Marco

A Wave PDE simulation using GPGPU capabilities

Extended GMM for Background Subtraction on GPU

10 Jan 2011

phoaivu

GPU Implementation of Extended Gaussian mixture model for Background Subtraction

Introductory Tutorial to OpenCL™

8 Jul 2010

pnolte64

This article helps make OpenCL™ easier to understand and implement.

Base64 Encoding on a GPU

16 Sep 2013

Nick Kopp

Performing base64 encoding on a graphics processing unit using CUDAfy.NET (CUDA in .NET).

GCN Assembler for AMD GPUs

17 Apr 2016

Ryan S White

an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language

Large Scale Machine Learning using NVIDIA CUDA

9 Mar 2012

Adnan Boz

From spam filters to movie recommendation and face detection, nowadays machine learning algorithms are used everywhere to make the machine think for us. But, running these algorithms require high computation power and in most cases supercomputers. This is where the 500 core GPUs step in...