Adaptive Computing Enterprises, a world leader in dynamically optimizing large-scale HPC computing environments, today announced its partnership with Google Cloud, offering dynamic Cloud Bursting to the Google Cloud Platform (GCP) with its Moab/NODUS Cloud Bursting Solution
Adaptive Computing has announced the release of Moab/NODUS Cloud Bursting 1.1.0
Adaptive Computing, a provider of workload and resource orchestration software, has announced it has been acquired by ALA Services, the investment entity of Arthur L Allen, founder, former President and CEO of ASG Software Solutions.
Adaptive Computing has announced the release of Moab HPC Suite 7.2, a new version that introduces scheduling abilities for Intel Xeon Phi coprocessors
Enhancements that improve workload management and accelerate high-performance computing have been made to the Moab HPC Suite, Adaptive Computing has announced
Adaptive Computing has released Moab Viewpoint, a next-generation self-service web portal, which includes capabilities at private cloud creation and management from enterprise data centres to HPC customers and environments
The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Estimates suggest that the global laboratory informatics market, valued at $2.6 billion in 2019, will witness CAGR of 7.5 per cent over the next five years, reaching $3.8 billion in 2024[1].
Modern drug discovery and development workflows incorporate a growing range of automated, high-throughput technologies that can generate data on a truly impressive scale.
‘This will be the life sciences century … because of personalised medicine, information technology, and knowledge on biological systems,’ said Fred Hassan, a partner of Warburg Pincus and former CEO of Schering-Plough.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
