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Video: Can FPGAs compete with GPUs?

John Romein from ASTRON gave this talk at the GPU Technology Conference. “We’ll discuss how FPGAs are changing as a result of new technology such as the Open CL high-level programming language, hard floating-point units, and tight integration with CPU cores. Traditionally energy-efficient FPGAs were considered notoriously difficult to program and unsuitable for complex HPC applications. We’ll compare the latest FPGAs to GPUs, examining the architecture, programming models, programming effort, performance, and energy efficiency by considering some real applications.”

Consumer GPUs Power 2 Petaflop Deep Learning Cluster at ASTRON

Today ClusterVision announced the successful deployment of a new high performance computing GPU cluster system for the Netherlands Institute for Radio Astronomy (ASTRON). “By utilizing the deep learning capabilities of the GPU cluster, the telescopes will be able to detect pulsar flashes with much greater accuracy through self-learning. In the past, ASTRON scientists had to manually detect and input pulsar patterns. With deep learning, ARTS does it for them.”