Posted: 27 Jun 2019 | 10:06
The DARE project is addressing the challenges of combining extreme data, extreme computation and extreme complexity in scientific research.
Virtually every scientific domain is experiencing an increase in the volume of data it produces, with growing computational power enabling more complex simulations. Although comparing these simulations with observation can improve models and understanding, it is highly data-intensive.
Posted: 25 Jun 2019 | 15:51
BioExcel is a Centre of Excellence that supports academic and industrial researchers in the use of advanced computing in biomolecular research. It has received follow-on Horizon 2020 funding from the EU Commission to continue and expand its activities for a period of three years starting from January 2019.
Posted: 21 Jun 2019 | 10:32
Optos is a leading provider of medical products and services to eyecare professionals. A collaboration between Optos, EPCC, and Intel has led to significant improvement in the performance of a software algorithm used in a product under development by the company.
The project set out to identify a suitably priced Intel multicore processor on which to run the company’s code, and to accelerate an important Optos machine-learning code. The project baseline was Optos code running on a specific Intel chip and the target was to reduce its runtime to below 12 seconds on the preferred chip.
Posted: 18 Jun 2019 | 15:57
EPCC has been working closely with Edinburgh-based fintech company Sustainably, supporting its rapid growth in the charitable giving sector. Here Loral Quinn, Co-founder and CEO at Sustainably, describes our collaboration.
Sustainably is disrupting a $400 billion market by making it easier for businesses and consumers to have a positive impact every day by rounding up cashless transactions and donating spare change to causes they care about automatically every time they shop.
Posted: 18 Jun 2019 | 15:03
To make future heterogeneous systems easier to use efficiently, the EPiGRAM-HS project is improving and extending existing programming models with Exascale potential. We are working with the MPI and GASPI programming models primarily, but also applying our changes to HPC applications like Nek5000, OpenIFS and iPIC3D, and AI frameworks like TensorFlow and Caffe. We expect the trend towards specialisation of hardware will continue and therefore large machines will become more and more heterogeneous.