Scheduling and resource management solutions for the scalable and efficient design of today's and tomorrow's HPC machines
Marco D'Amico
Abstract:In recent years, high-performance computing research became essential in pushing the boundaries of what men can know, predict, achieve, and understand in the experimented reality.
HPC Workloads grow in size and complexity hand to hand with the machines that support them, accommodating big data, data analytic, and machine learning applications at the side of classical compute-intensive workloads. Simultaneously, power demand is hugely increasing, becoming a constraint in the design of these machines.
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