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GTC ON-DEMAND

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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.

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.

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Topics:
Astronomy & Astrophysics, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9634
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Abstract:
Come and learn how GPUs help identify biological activity on nearby exoplanets. Deployed on on the Japanese Subaru telescope at 4,200m elevation atop Maunakea, Hawaii, the GPU hardware technology constitutes the backbone of the adaptive optics, which drives the real-time correction of the optical aberrations introduced by Earth's atmosphere. Using machine learning technique and advanced linear algebra algorithms accelerated by GPUs, a predictive control problem can now be solved at the multi-kHz frame rate required to keep up with turbulence changes. This represents the first successful on-sky result of this approach for exoplanet imaging.
Come and learn how GPUs help identify biological activity on nearby exoplanets. Deployed on on the Japanese Subaru telescope at 4,200m elevation atop Maunakea, Hawaii, the GPU hardware technology constitutes the backbone of the adaptive optics, which drives the real-time correction of the optical aberrations introduced by Earth's atmosphere. Using machine learning technique and advanced linear algebra algorithms accelerated by GPUs, a predictive control problem can now be solved at the multi-kHz frame rate required to keep up with turbulence changes. This represents the first successful on-sky result of this approach for exoplanet imaging.  Back
 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8251
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Abstract:
Have you heard about the world's biggest eye ever built? Are you interested in scientific simulations running on NVIDIA DGX-1? Come and learn how combining these powerful computing devices 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 DGX-1, we'll explain how the resulting matrix computations associated with an efficient task-based programming model help design the next generation of telescope instruments and, eventually, demonstrate a pathfinder for the discovery of new galaxies.
Have you heard about the world's biggest eye ever built? Are you interested in scientific simulations running on NVIDIA DGX-1? Come and learn how combining these powerful computing devices 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 DGX-1, we'll explain how the resulting matrix computations associated with an efficient task-based programming model help design the next generation of telescope instruments and, eventually, demonstrate a pathfinder for the discovery of new galaxies.  Back
 
Topics:
Algorithms & Numerical Techniques, Astronomy & Astrophysics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8231
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Abstract:

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.

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.

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Topics:
Astronomy & Astrophysics, Computer Vision, HPC and AI
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23171
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Abstract:

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.

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.

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Topics:
Astronomy & Astrophysics, Tools & Libraries, Federal
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7153
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Abstract:

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. 

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. 

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Topics:
HPC and Supercomputing, Algorithms & Numerical Techniques, Astronomy & Astrophysics
Type:
Talk
Event:
GTC Europe
Year:
2016
Session ID:
SEU6173
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Abstract:
Learn how GPUs are used to shape the light on extreme diameter telescopes. By providing the means to process, in real time, large-scale images from wavefront sensors, GPUs are revolutionizing adaptive optics, an instrumental technique used to compensate fast-evolving aberrations in optical systems. We'll show how GPUs are used to power the real-time controllers of these systems to provide millions of commands per second to deformable mirrors so as to stabilize the image quality at the output of a large telescope. The first results of the Green Flash project, a large-scale European initiative aimed at prototyping real-time controllers for the European Extremely Large Telescope, will be presented and illustrated with preliminary data obtained in the lab.
Learn how GPUs are used to shape the light on extreme diameter telescopes. By providing the means to process, in real time, large-scale images from wavefront sensors, GPUs are revolutionizing adaptive optics, an instrumental technique used to compensate fast-evolving aberrations in optical systems. We'll show how GPUs are used to power the real-time controllers of these systems to provide millions of commands per second to deformable mirrors so as to stabilize the image quality at the output of a large telescope. The first results of the Green Flash project, a large-scale European initiative aimed at prototyping real-time controllers for the European Extremely Large Telescope, will be presented and illustrated with preliminary data obtained in the lab.  Back
 
Topics:
Astronomy & Astrophysics, Signal and Audio Processing, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6236
Streaming:
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Abstract:
Come and learn how GPUs can help discovering the most distant galaxies by performing close to real-time simulations at an unprecedented scale of the multi-object adaptive optics technique (MOAO). The European Southern Observatory (ESO) is leading the construction of the European Extremely Large Telescope (E-ELT), a 39m diameter telescope, to provide Europe with the biggest eye on the universe ever built. MOA is the most complex adaptive optics concept proposed for the E-ELT and simulating the instrument at full scale is extremely compute-intensive. The tomographic reconstructor (TR) is one of the core components of both the design simulations and eventually system operations and it requires the inversion of a large dense covariance matrix.
Come and learn how GPUs can help discovering the most distant galaxies by performing close to real-time simulations at an unprecedented scale of the multi-object adaptive optics technique (MOAO). The European Southern Observatory (ESO) is leading the construction of the European Extremely Large Telescope (E-ELT), a 39m diameter telescope, to provide Europe with the biggest eye on the universe ever built. MOA is the most complex adaptive optics concept proposed for the E-ELT and simulating the instrument at full scale is extremely compute-intensive. The tomographic reconstructor (TR) is one of the core components of both the design simulations and eventually system operations and it requires the inversion of a large dense covariance matrix.  Back
 
Topics:
Astronomy & Astrophysics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5122
Streaming:
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Abstract:
The European Southern Observatory is leading the construction of the European Extremely Large Telescope (E-ELT), a 39m diameter telescope, to provide Europe with the biggest eye on the Universe ever built, with a first light foreseen in 2022. The E-ELT will be the first telescope that will entirely depend, for routine operations, on adaptive optics (AO), an instrumental technique for the correction of dynamically evolving aberrations in an optical system, used on astronomical telescopes to compensate, in real-time, for the effect of atmospheric turbulence. In this session, we will show how GPUs can provide the throughput required to both simulate at high framerate and drive in real-time these AO systems that provide tens of thousands of degrees of freedom activated several hundreds times per second.
The European Southern Observatory is leading the construction of the European Extremely Large Telescope (E-ELT), a 39m diameter telescope, to provide Europe with the biggest eye on the Universe ever built, with a first light foreseen in 2022. The E-ELT will be the first telescope that will entirely depend, for routine operations, on adaptive optics (AO), an instrumental technique for the correction of dynamically evolving aberrations in an optical system, used on astronomical telescopes to compensate, in real-time, for the effect of atmospheric turbulence. In this session, we will show how GPUs can provide the throughput required to both simulate at high framerate and drive in real-time these AO systems that provide tens of thousands of degrees of freedom activated several hundreds times per second.   Back
 
Topics:
Astronomy & Astrophysics, Numerical Algorithms & Libraries, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4357
Streaming:
Share:
 
Abstract:
Adaptive Optics (AO) is an instrumental technique for the correction of dynamically evolving aberrations in optical systems, used on astronomical telescopes to compensate, in real-time, for atmospheric turbulence. Our team has developped a simulation code based on YoGA, an original binding between Yorick, an interpreted programming language and CUDA. Using this code, speedups of 10x are obtained as compared to currently available CPU codes. We will present the various features of the code and its performance for various system dimensioning and GPUs. Additionally, we will present profiles of a GPU-based AO real-time controller simulator demonstrating performance compatible with real-time operations.
Adaptive Optics (AO) is an instrumental technique for the correction of dynamically evolving aberrations in optical systems, used on astronomical telescopes to compensate, in real-time, for atmospheric turbulence. Our team has developped a simulation code based on YoGA, an original binding between Yorick, an interpreted programming language and CUDA. Using this code, speedups of 10x are obtained as compared to currently available CPU codes. We will present the various features of the code and its performance for various system dimensioning and GPUs. Additionally, we will present profiles of a GPU-based AO real-time controller simulator demonstrating performance compatible with real-time operations.   Back
 
Topics:
Astronomy & Astrophysics, Computational Physics
Type:
Poster
Event:
GTC Silicon Valley
Year:
2013
Session ID:
P3213
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