Stream HPC - Builders of High Performance Compute Engines

Stream Computing. Faster and better scalable software, higher throughput, less energy usage. Specialist in OpenCL, GPU-programming and GPU-training....

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Best pages on Streamcomputing.eu

Stream HPC - Builders of High Performance Compute Engines

Faster and better scalable software, higher throughput, less energy usage. Specialist in OpenCL, GPU-programming and GPU-training. That's StreamHPC...
What is OpenCL? - StreamComputing

OpenCL (trademark of Apple Computers Inc.) is an open, royalty-free industry standard that makes much faster computations possible. The standard is controlled ...
Porting CUDA to OpenCL - StreamHPC

Why port your CUDA-acelerated software to OpenCL? Simply, to make your software also run on AMD CPU/APU/GPU, Intel CPU/GPU, Altera FPGA, ...

Streamcomputing.eu news digest

9 months

N-Queens project from over 10 years ago

Why you should just delve into porting difficult puzzles using the GPU, to learn GPGPU-languages like CUDA, HIP, SYCL, Metal or OpenCL. And if you did not pick one, why not N-Queens? N-Queens is a truly fun puzzle to work on, and I am looking forward...
9 months

The Fastest Payroll System Of The World

At StreamHPC we do several very different types of projects, but this project has been very, very different. In the first place, it was nowhere close to scientific simulation or media processing. Our client, Intersoft solutions, asked us to speed up...
9 months

How to get full CMake support for AMD HIP SDK on Windows – including patches

Written by Máté Ferenc Nagy-Egri and Gergely Mészáros
Disclaimer: if you’ve stumbled across this page in search of fixing up the ROCm SDK’s CMake HIP language support on Windows and care only about the fix, please skip to the end of this post to download the patches. If you wish to learn some things about...
3 years

Improving FinanceBench for GPUs Part II – low hanging fruit

We found a finance benchmark for GPUs and wanted to show we could speed its algorithms up. Like a lot!
Following the initial work done in porting the CUDA code to HIP (follow article link here), significant progress was made in tackling the low hanging fruits in the kernels and tackling any potential structural problems outside of the kernel....