Altair has announced the acquisition of Univa, a company the specialises in workload management, scheduling, and optimisation solutions for HPC and artificial intelligence (AI) on-premises and in the cloud
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Univa (C-1214) Grid Engine is the leading workload management system. The solution maximises the use of shared resources in a data centre and applies advanced policy management tools to deliver products and results faster, more efficiently, and with lower overall costs. The product can be deployed in any technology environment, including containers: on-premise, hybrid or in the cloud. A variety of add-ons can be utilised to extend workload management capabilities and create a customised solution for any enterprise infrastructure.
Univa has released Univa Grid Engine Version 8.1.4, with 46 new updates to the previous version
US-based company Univa has released version 5.8 of its Grid MP product for building distributed computing environments from both non-dedicated and dedicated 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.
