Software Performance is a Competitive Advantage
We build and optimize software that gets more out of CPUs, GPUs and other accelerators.
From proof-of-concept to production software, from mathematical libraries to image-processing pipelines, we solve the hard problems where software meets hardware.
Who we help
Different industries with the same problem. Software needs to compute more.
Semiconductor companies
We build the software that makes hardware useful: mathematical libraries, compiler test suites, benchmarks, optimized kernels, tools and software stacks.
Science, Research & universities
We help turn computational research into efficient software—from algorithms and simulations to GPU-accelerated applications and HPC.
R&D-Heavy Companies and Institutes
We help engineering teams build and optimize simulation, imaging, AI, signal-processing, optimization and other computational software.
Startups & Scale-ups
Add specialized GPU, HPC and performance expertise when you need it—without building the entire team yourself.
What we offer
Comprehensive Solutions for HPC and GPU Computing
1
Performance Optimization
We identify and eliminate code bottlenecks to significantly accelerate the performance of compute-intensive scientific applications tailored to your specific needs.
2
Custom Software Development
Our team specializes in developing and optimizing CPU- and GPU-based applications, offering bespoke solutions to meet your research and performance requirements.
3
Training and Consulting
We provide comprehensive training sessions and expert consulting to help clients improve their software performance and efficiently utilize computing resources.
4
Legacy Code Enhancement
We modernize and optimize legacy code, transforming outdated software into high-performance solutions that are more efficient and easier to maintain.
Q&A
No. We program and optimize GPUs, CPUs and custom accelerators. Any hardware where performance matters.
In limited scale we even program FPGAs
Yes, we have a few standard setups. Ask us for more information.
- CUDA + HIP. This runs on both AMD and Nvidia, while allowing architecture-specific optimizations
- Vulkan Compute. The most important graphics library can also only do compute, for which we built a library. This runs on embedded devices, smartphones (Android, apple and Linux), tablets, PCs and laptops (Windows, Mac, Linux)
- Special compilers. This allows to run foreign languages on multiple devices.
In most cases we can assess the expected range of speedup during the assessments, which we call the pre-project. In its minimal form this takes 2 weeks on average, and provides enough insights to make a decision on proceding with a full project.
Our in-house developed methodology, where we’re aligning dataflow, algorithms, and hardware to solve performance bottlenecks before they become unsolvable.
We specialize in C++, CUDA, HIP, SYCL, Vulkan and OpenCL. We also use OpenMP, MPI, Python and Rust. Choosing the best tool for the job.
Yes. We refactor and optimize existing codebases. In many cases we can separate the current compute-intensive code and provide a second implementation, which is clean and has a good balance between investment and performance improvement. We provide assessments to find out code-readiness to be ported to GPUs or multicore CPUs.
Yes. This is actually a main part of most projects
Because smarter software beats brute-force scaling.
Enhance Your Software Performance with Our Experts
Contact us today to discuss how Stream HPC can elevate your computing capabilities and lower costs.