In 2019 AMD announced the Radeon™ RX 5700 XT, a GPU that sported its brand-new at the time architecture named RDNA. It aimed to provide upgrades compared to the older GCN-based cards. Then one year later, AMD announced another GPU architecture — CDNA, with the release of the Radeon™ Instinct MI100. And in the current
RDNA and CDNA: Similarities and Differences Read More »
For the past decade, every C++ programmer who wanted to do real concurrent work has had the same conversation with themselves. std::async is a toy. std::thread is too low-level. std::future doesn’t compose. So you reach for TBB, or another third-party library, or a thread pool you wrote in 2017, or std::coroutine that you have to
Asynchronous and Parallel Programming in C++26 Read More »
Disclaimer: LLMs were used for proof-reading and grammar check. C++20 gave us coroutines. The machinery needed was included: co_yield, co_return, co_await but the standard library had no concrete coroutine types. You had to write your own promise type, your own iterator, your own bookkeeping. The complexity of this boilerplate was intimidating for most people. C++23
Lazy Ranges in C++23 with Std::generator Read More »
At Stream HPC, we enjoy opportunities to connect with the HPC and accelerator community, exchange ideas, and learn from engineers and researchers working across the GPU ecosystem. Later this month, several members of our team will be attending GPU Day 2026 in Budapest, Hungary. Now in its 16th edition, GPU Day has become an established
Our Two Presentations at GPU Day 2026 Read More »
Parallel primitives are the ubiquitous building blocks of GPU programming with CUDA and HIP, to make your life as a programmer easier. Primitives like scans, reductions, and sorts operate in parallel over large data inputs. The basic use case has input and output residing in device memory as an array of values. However, the libraries
Thinking with iterators in CUDA and HIP Read More »
At Stream HPC, we love open standards. They allow developers to write portable applications, encourage industry collaboration, and enable common tooling. Each year Khronos organizes the annual IWOCL conference on open standard compute languages, and this year we are delighted to have our engineers delivering talks on SYCL and OpenCL. IWOCL 2026 is the 14th
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 to learning about better approaches via the comments. We
N-Queens project from over 10 years ago Read More »
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 thousands of payroll calculations on a GPU. They wanted to solve a simple problem,
The Fastest Payroll System Of The World Read More »
Written by Máté Ferenc Nagy-Egri and Gergely Mészáros Disclaimer: if you’ve stumbled across this page in search of a fix for 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
How to get full CMake support for AMD HIP SDK on Windows – including patches Read More »
Speeding up finance algorithms for GPUs
Improving FinanceBench for GPUs Part II – low hanging fruit Read More »