… efficiently on hundreds or thousands of CPUs (and now CPU/GPUs). The code I use, GROMACS , is open source (LGPL … to CUDA allowing it to run on commodity NVIDIA GPUs and so speeding up its performance by 10 times. This …
Read more… expertise to accelerate their scientific codes using GPUs. This hackathon helped teams of application … experience – to get their own codes running on GPUs, or to optimise their codes that currently run on GPUs, using OpenACC or other parallel programming …
Read more… turn of events, this has put graphical processing units (GPUs), the co-processors designed to accelerate the display … is largely independent from the other pixels, which means GPUs have been using massively parallel architectures long … learning how to harness the superior computational power of GPUs to build a model of a honeybee’s brain that can run …
Read more… and sustainable software, use of HPC and particularly GPUs through training, seminars, research software … software, which allows complex systems modelling on GPUs by abstracting away the complexity of the GPU …
Read more… of developers prepare their own applications(s) to run on GPUs or focus on optimising their application(s) that currently run on GPUs. Teams should consist of three or more developers who …
Read more… HPC machines not only have multi-core CPUs but also have GPUs with hundreds, if not thousands, of cores. GPUs are faster for certain applications and, because of …
Read more… HPDA applications that utilise HPC systems (e.g., GPUs computing, compute clusters, cloud computing, …
Read more… We are also porting UKCA to enable it to run efficiently on GPUs. I have created UKCA configurations that are able to …
Read more… using a diverse range of HPC hardware, ranging from GPUs to clusters. The working system will be demonstrated by …
Read more… will harness modern/emerging hardware architectures such as GPUs and FPGAs. Within the remit of the project is also the …
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