All technical blog posts written by people of the Stream HPC team.
The goal of this writing is to explain which applications are suitable to be ported to OpenCL and run on GPU (or multiple GPUs). It is done by showing the main differences between GPU and CPU, and by listing features and characteristics of problems and algorithms, which can make use of highly parallel architecture of
Selecting Applications Suitable for Porting to the GPU Read More »
Ever saw a claim on a paper you disagreed with or got triggered by, and then wanted to reproduce the experiment? Good luck finding the code and the data used in the experiments. When we want to redo experiments of papers, it starts with finding the code and data used. A good start is Github
DOI: Digital attachments for Scientific Papers Read More »
When CUDA kept having a dominance over OpenCL, AMD introduced HIP – a programming language that closely resembles CUDA. Now it doesn’t take months to port code to AMD hardware, but more and more CUDA-software converts to HIP without problems. The real large and complex code-bases only take a few weeks max, where we found
Learn about AMD’s PRNG library we developed: rocRAND – includes benchmarks Read More »
While going through my email, I found out about the third “HiPEAC Student Heterogeneous Programming Challenge”. Unfortunately the deadline was last week, but just got an email: if you register by this weekend (17 September), you can still join. EDIT: if you joined, be sure to comment in early November how it was. This would
GPU and FPGA challenge for MSc and PhD students Read More »
CPUs are now split up in 3 types, depending on the number of cores: single (1), multi (2-8) and many (10+). I find it more important now to split up into these three types, as the types of problems to be solved by each is very different. Based on the problem-differences I’m even expecting that
The single-core, multi-core and many-core CPU Read More »
The University of Edinburgh houses the HPC centre EPCC. Neelofer Banglawala wrote about a programme which funds the development and improvement of scientific software, and also discussed about the results. Many of the 10 most used application codes on ARCHER have been the focus of an eCSE project. Software with more modest user bases have
HPC centre EPCC says: “Better software, better science” Read More »
It takes quite some effort to program FPGAs using VHDL or Verilog. Since several years Intel/Altera has OpenCL-drivers, with the goal to reduce this effort. OpenCL-on-FPGAs reduced the required effort to a quarter of the time, while also making it easier to alter the specifications during the project. Exactly the latter was very beneficiary when
Demo: cartoonizer on an Altera Arria 10 FPGA Read More »
OpenCL remains to be a popular programming language for accelerators, from embedded to HPC. Good examples are consumer software and embedded devices. With Vulkan potentially getting OpenCL-support in the future, the supported devices will only increase. For multicore-CPUs and GPUs we now have monthly training dates for the rest of the year: OpenCL CPU/GPU Training
New training dates for OpenCL on CPUs and GPUs! Read More »
A month ago IWOCL (OpenCL workshop) and DHPCC++ (C++ for GPUs) took place. Meanwhile many slides and posters have been published online. As of today 23 talks are with slides. The proceedings are available via the ACM Digital Library. This needs a ACM Digital Library subscription of $198, if your company/university does not have access yet.
IWOCL 2017 slides and proceedings now available Read More »
In the perfect world all software is fast, giving us time to do actual work. Unfortunately we live in an unperfect world, and we have to spend extra time controlling our anger as the software keeps us waiting. Therefore we have opened the Slow Software Hotline – reachable via both phone and email. It has
Slow Software Hotline Read More »