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 »
You’ve seen the speedups possible on GPUs. We secretly know that many of these techniques would also work on modern multi-core CPUs. If after the first optimisations the GPU still gets an 8x speedup, the GPU is the obvious choice. When it’s 2x, would the better choice be a bigger CPU or a bigger GPU?
CPU Code modernisation – our hidden expertise 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 »
Most of our projects are around performance optimisation, but we’re cleaning up bugs too. This is because you can only speed up software when certain types of bugs are cleared out. A few months ago, we got a different type of request. If we could solve bugs in MESA 3D that appear in games. Yes,
Bug fixing the MESA 3D drivers 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 »
AMD open sourced the OpenCL driver stack for ROCm in the beginning of May. With this they kept their promise to open source (almost) everything. The hcc compiler was open sourced earlier, just like the kernel-driver and several other parts. Why this is a big thing? There are indeed several open source OpenCL implementations, but
Why did AMD open source ROCm’s OpenCL driver-stack? Read More »