Every now and then I read stories on Bitcoins (Wikipedia-article), as GPUs are used a lot to “mine” Bitcoins. They have some extensive benchmarks, and also their discussions giving me insights in specific parts of accelerators like GPUs. Also is this group very upwards if it comes to accepting new techniques. Today something changed: they
The entanglement of Bitcoins and compute-capabilities Read More »
Say you have some data that needs to be used as input for a larger kernel, but needs a little preparation to get it aligned in memory (small kernel and random reads). Unluckily the efficiency of such kernel is very low and there is no speed-up or even a slowdown. When programming a GPU it
The OpenCL power: offloading to the CPU (AVX+SSE) Read More »
During the “little” HPC-show, SC12, several vendors have launched some very impressive products. Question is who steals the show from whom? Intel got their Phi-processor finally launched, NVIDIA came with the TESLA K20 plus K20X, and AMD introduced the FirePro S10000. This card is the fastest card out there with 5.91 TFLOPS of processing power
AMD positions FirePro S10000 against both TESLA K10 (and K20) Read More »
NOTE: there are many contradicting sources out there, so there are mistakes in this article. Please give me feedback via twitter, mail or comments, so all the info can be completed. Yes, another post in the answer-to series. At SC12 Intel tries to steal away the show from the Tesla K20 and FirePro S10000. After
Intel’s answer to AMD and NVIDIA: the XEON Phi 5110P Read More »
Two months ago I wrote about the FirePro S9000 – AMD’s answer to the K10 – and was already looking forward to this K20. Where in the gaming world, it hardly matters what card you buy to get good gaming performance, in the compute-world it does. AMD presented 3.230 TFLOPS with 6GB of memory, and now
NVIDIA’s answer to FirePro S9000: the TESLA K20 Read More »
For who hasn’t seen the latest addition to our knowledge base, we have added a list of all (almost) available OpenCL-SDKs. You can find it in the menu under “Knowledge Base” -> “SDKs…“. This list shows how important OpenCL is getting, as developers now can write compute-intensive parallel software on CPUs, GPUs, ARM-based accelerators and even
All OpenCL SDKs now in our Knowledge Base Read More »
In many hard sciences focus is on formulas and text, whereas images are mainly graphs or simplified representations of researched matters. Beautiful visualisations are mainly artist’s impressions in popular media targeting hobby-scientists. When Cyrille Favreau made the first good-working version of his real-time GPU-accelerated raytracer, he saw potential in exactly this area: beautiful, realistic visualisations
Scientific Visualisation of Molecules Read More »
The question we aim to answer in this post is: “How to do you make software that performs on several platforms?”. Note: This article is not fully finished – I’ll add more information during the coming months. It’s busy here! Even in many Java-code you’ll find hard-coded filename-delimiters in the file-names, which then work on one
Targetting various architectures in OpenCL and CUDA Read More »
AFDS was full of talks on OpenCL. You missed them, just like me? Then you will be happy that they put many videos on Youtube! Enjoy watching! As all videos are around 40 minutes, it is best to take a full day for watching them all. The first part is on openCL itself, second is
OpenCL Videos of AMD’s AFDS 2012 Read More »
On 15 November 2011 Altera announced support for OpenCL. The time between announcements for having/getting OpenCL-support and getting to see actually working SDKs takes always longer than expected, so to get this working on FPGAs I did not expect anything before 2013. Good news: the drivers are actually working (if you can trust the demos
OpenCL on Altera FPGAs Read More »