It would be interesting to find out how many recent college graduates in electronics engineering, computer science, or related fields expect to roll out their own silicon startup in the next five years compared to similar polls from ten or even twenty years ago. …
It’s a familiar story arc for open source efforts started by vendors or vendor-led industry consortiums. …
Downtime has been plaguing companies for decades, and the problems have only been exacerbated during the internet era and with the rise of ecommerce and the cloud. …
Kubernetes has quickly become a key technology in the emerging containerized application environment since it was first announced by Google engineers just more than three years ago, catching hold as the primary container orchestration tool used by hyperscalers, HPC organizations and enterprises and overshadowing similar tools like Docker Swarm, Mesos and OpenStack. …
Written in the productivity language Julia, the Celeste project—which aims to catalogue all of the telescope data for the stars and galaxies in in the visible universe—demonstrated the first Julia application to exceed 1 PF/s of double-precision floating-point performance (specifically 1.54 PF/s). …
Academic centers and government agencies often design and write their own applications, but some of them and the vast majority of enterprise customers with HPC applications usually depend on third parties for their software. …
Across the HPC community, commercial firms, government labs and academic institutions are adapting their code to embrace GPU architectures. …
Nutanix has been on a journey for well over a year to transform itself from a supplier for software for hyperconverged infrastructure to a company with a platform that allows enterprises to build private datacenter environments that give them the same kinds of tools, automation, agility, scalability and consumption options that they can find in public clouds like Amazon Web Services and Microsoft Azure. …
One of the arguments Intel officials and others have made against Arm’s push to get its silicon designs into the datacenter has been the burden it would mean for enterprises and organizations in the HPC field that would have to modify application codes to get their software to run on the Arm architecture. …
GPU accelerated supercomputing is not a new phenomenon with many high performance computing codes already primed to run on Nvidia hardware in particular. …
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