Description
From radio telescopes to proton accelerators, scientific instruments produce tremendous amounts of data at equally high rates. To handle this data deluge and to ensure the fidelity of the instruments’ observations, architects have historically written measurements to disk, enabling downstream scientists and researchers to build applications with pre-recorded files. The future of scientific computing is interactive and streaming; how many Nobel Prizes are hidden on a dusty hard drive that a scientist didn’t have time or resources to analyze? In this talk, NVIDIA and the SETI institute will present their joint work in building scalable, real time, high performance, and AI ready sensor processing pipelines at the Allen Telescope Array. Our goal is to provide all scientific computing developers with the tools and tips to connect high speed sensors to GPU compute and lower the time to scientific insights.