Robert Roe looks at the technologies that can help overcome the memory bottleneck in HPC systems
EPCC, (B-1223) the supercomputing centre at the University of Edinburgh, is home to many of the UK’s national HPC and research data services, including ARCHER and the Research Data Facility. We’re also home to Cirrus, our new Tier 2 HPC service for science and industry – one of our key focuses. Together, our facilities and expertise make us the premiere industry HPC provider in Europe.
Come and see us at ISC to learn more about:
The Fortissimo [1] project, helping the European manufacturing industry access on-demand HPC resources;
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
