The US Department of Energy (DOE) has recently announced $7 million in funding for nine studies aimed at improving DOE’s Energy Exascale Earth System Model (E3SM)
The US Department of Energy (DOE) National Renewable Energy Laboratory (NREL) announced today that it has selected its next high-performance computing (HPC) system, which will be used to advance early-stage R&D on energy technologies spanning multiple DOE Office of Energy Efficiency and Renewable Energy (EERE) programs
Hewlett Packard Enterprise (HPE) has announced its collaboration with Sandia National Laboratories and the US Department of Energy (DOE) to deliver the world’s largest Arm supercomputer
The US Department of Energy’s Oak Ridge National Laboratory (ORNL) has unveiled Summit as the world’s most powerful supercomputer
In this transcript from an interview conducted by insideHPC, Mike Bernhardt discusses the CANDLE project for cancer research with Rick Stevens from Argonne National Lab
The Department of Energy is working with several industry partners to advance the development of software for exascale computing.
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.
