Learn how GPUs are pushing the limits of the largest astronomical telescopes on Earth and how they'll be used to image life-bearing planets outside our solar system. Thanks to hardware features such as Tensor Cores and mixed-precision support, plus optimized AI frameworks, GPU technology is changing how large data streams from optical sensors are digested in real time. We'll discuss how real-time AI made possible by GPUs opens up new means to optimally control the system and calibrate images, which will help scientists get the most out of the largest optical telescopes. GPUs will also benefit future extreme-size facilities like the European Extremely Large Telescope because the complexity of maintaining exquisite image quality increases with the square of its diameter size. We'll present on-sky results obtained on the 8.2-meter Subaru Telescope and explain why these techniques will be essential to future giant telescopes.
Come and learn how the grand challenge of controlling adaptive optics systems on future Extremely Large Telescopes is being solved using GPUs. As part of Green Flash, an international EU funded joint industrial and academic project, our team is developing solutions based on GPUs for the real-time control of large optical systems operating under tough operating environments. This includes the hard real-time data pipeline, the soft real-time supervisor module as well as a real-time capable numerical simulation to test and verify the proposed solutions. We will discuss how the unprecedented memory bandwidth provided by HBM2 on the new Pascal architecture is changing the game in dimensioning these complex real-time computers crunching up to 200 Gb/s of noisy data.
Have you heard about the largest ground-based telescope ever built? Are you interested in the newest NVIDIA DGX-1 hardware accelerator? Come and learn how the DGX-1 architecture dramatically leaps forward the computational astronomy community in designing major, multimillion-dollar optical instruments for the European Extremely Large Telescope. Starting from the mathematical model up to the high-performance implementation on distributed-memory systems with hardware accelerators, we'll explain how the resulting matrix computations associated with an efficient task-based programming model help design the next generation of telescope instruments.
Learn how GPUs help design major, multimillion-dollar optical instruments for the European Extremely Large Telescope. From the mathematical model up to the high-performance implementation on distributed-memory systems with hardware accelerators, this talk will explain how the resulting dense linear algebra operations associated with an efficient task-based programming model help design the next generation of telescope instruments.