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Distributed HPC Applications with Unprivileged Containers

Felix Abecassis and Jonathan Calmels from NVIDIA gave this talk at FOSDEM 2020. “We will present the challenges in doing distributed deep learning training at scale on shared heterogeneous infrastructure. At NVIDIA, we use containers extensively in our GPU clusters for both HPC and deep learning applications. We love containers for how they simplify software packaging and enable reproducibility without sacrificing performance.”

Exploring the Universe with the SKA Radio Telescope and CUDA

In this video, Wes Armour from the Oxford eResearch Centre discusses the role of GPUs in processing large amounts of astronomical data collected by the Square Kilometre Array and how CUDA is the best suited option for their signal processing software. “The massive computational power of modern day GPUs allows code to perform algorithms such as de-dispersion, single pulse searching and Fourier Domain Acceleration Searching in real-time on very large data-sets which are comparable to those which will be produced by next generation radio-telescopes such as the SKA.”