Computationally, EXAALT’s goal is to develop a comprehensive molecular dynamics capability for exascale. “The user should be able to say, ‘I’m interested in this kind of system size, timescale, and accuracy,’ and directly access the regime without being constrained by the usual scaling paths of current codes,” said Danny Perez of Los Alamos National Laboratory (LANL) and the EXAALT team.
[SPONSORED GUEST ARTICLE] Since the beginning of human existence, people have looked into the night sky and wondered how the universe began. Cosmologists using the UK’s Memory Intensive DiRAC HPC service at Durham ….
Projected to reach $11.5 billion by 2026, the cloud market for HPC workloads has seen a significant shift in buying behavior. This is driven partly by the demands of artificial intelligence (AI) and machine learning (ML) workloads, with cloud computing becoming a critical environment. Hyperion Research highlights how nearly every organization adopting high performance computing […]
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