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Titlebook: Sustained Simulation Performance 2019 and 2020; Proceedings of the J Michael M. Resch,Manuela Wossough,Hiroaki Kobayash Conference proceedi

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Containerization and Orchestration on HPC Systemsapsulate complex programs with their dependencies in isolated environments making applications more portable. Nevertheless, conventional HPC workload managers lack micro-service support and deeply-integrated container management, as opposed to container orchestrators. We enable the synergy of Cloud
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The Role of Machine Learning and Artificial Intelligence in High Performance ComputingIn this paper we will first look at the situation of HPC which is mainly shaped by the end of Moore’s law and an increase in electrical power consumption. We then explore the role that these technologies can play when coming together. We will look into the situation of HPC and into how DA, ML and AI
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Trends and Emerging Technologies in AIryday lives. The impact on society is graspable: autonomous driving cars produced by Tesla, voice assistants such as Siri, and AI systems that beat renowned champions in board games like Go. All these advancements are facilitated by powerful computing infrastructures based on HPC and advanced AI-spe
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Containerization and Orchestration on HPC Systemsand HPC clusters. We propose the preliminary design of a feedback control scheduler that performs efficient container scheduling meanwhile taking advantage of the scheduling policies of the container orchestrator (Kubernetes) and the HPC workload manager (TORQUE).
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e and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High Performance Data Analytics. In addition, they explore new topics like the use of High Performance Computers i
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