As of 1 April we are 7 years old. Because of all the jokes on that day, this post is a bit later. Let me take you through our journey how we grew up from a 1-person company to what we’re now. With pride I can say that (with ups and downs) StreamComputing (now rebranded
StreamComputing is 7 years! Read More »
Several projects were introduced to us via the company’s GPU-pioneer. These collaborations were very successful and pleasant to do, due to the internal support within the company. This is a reason we would like to do more of these – this text is dedicated to the GPU-pioneers out there. Seeing the potential of GPUs is
Looking for the company’s GPU-pioneers Read More »
What brings 2017 in technology? Gartner gives their vision with the start of each year to give insight in which technologies to invest in. When looking through them, the most important enabling technologies are the GPU and Internet-of-Things (IoT) – see the image below. Whereas the last 4 are IoT based, the first 4 would
GPUs and Gartner’s Top 10 Strategic Technology Trends For 2017 Read More »
The main strength of Artificial Intelligence is it’s easy to understand by anybody. This results in new applications in all industries at a rapid pace. Are there new possibilities generated or have the possibilities always been possible? The answer is both. In case of totally unknown input, AI is better capable of adapting. A clearly
When to use Artificial Intelligence and when to use Algorithms? Read More »
OpenCL 2.0 added several new built-in functions that operate on a work-group level. These include functions that work within sub-groups (also known as warps or wavefronts). The work-group functions perform basic parallel patterns for whole work-groups or sub-groups. The most important ones are reduce and scan operations. Those patterns have been used in many OpenCL
Double the performance on AMD Catalyst by tweaking subgroup operations Read More »
The first batch is in and you can win one from the second batch! We’re sending a mug to a random person who subscribes to out newsletter before the end of 17 April 2017 (Central European Time). Yes, that’s a Monday. Two winners We’ll pick two winners: one from academia and one from industry. If
Win an OpenCL mug! Read More »
One of these moments when you find out that the company is not seen as I want it to be seen. Compared to generic software engineering companies, we have the advantage of creating software that is capable of processing more data. For years we have promoted this unique advantage, for which we use OpenCL, CUDA,
Customer: “So you also do full projects?” Read More »
Would you like to run CUDA-kernels on the OpenCL framework? Or Python or Rust? SPIR-V is the answer! Where source-to-source translations had several limitations, SPIR-V 1.1 even supports higher level languages like C++.
Should SPIR-V be supported in CUDA? Read More »
In the release notes for 378.66 graphics drivers for Windows (February 2017), NVIDIA officially spoke about supporting OpenCL 2.0 for the first time. Unfortunately, this is partial support only and, as NVIDIA said, these new [OpenCL 2.0] features are available for evaluation purposes only. We did our own tests on a GTX 1080 on Windows and could confirm that
NVIDIA beta-support for OpenCL 2.0 works on Linux too Read More »
In the release notes for NVIDIA 378.66 graphics drivers for Windows NVIDIA mentions support for OpenCL 2.0. This has been the first time in 3 years since OpenCL 2.0 has been launched, that they publicly speak about supporting it. Several 2.0 functions had silently been added to the driver on customer request. However, these additions never
NVIDIA enables OpenCL 2.0 beta-support Read More »