GPU developers and computational scientists can connect with innovators and researchers sharing their breakthrough work using GPU computing. Sessions will focus on deep learning, simulation, and visualization, including groundbreaking work exploring the basic particles that make up matter and the evolution of the universe.
The High-Performance Computing Track at GTC features over 80
sessions from industry experts on topics including deep learning, simulation, and visualization.
UNIVERSITY OF CALIFORNIA SAN DIEGO
Speed Without Compromise: Precision and Methodology Innovation in the AMBER GPU MD Software
LOS ALAMOS NATIONAL LABORATORY
Toolkit for Many-Core Processors with the VTK-m Library
Comparing OpenACC 2.5 and OpenMP 4.5
UNIVERSITY OF CALIFORNIA SAN DIEGO, Associated Professor, Devtech Engineer
The AMBER molecular dynamics (MD) package is one of the fastest MD packages on commodity hardware and was one of the first widely used packages to exploit GPUs. We'll discuss the history of AMBER on NVIDIA GPUs and then highlight some of the newest advances in MD simulation that feature in the latest version 16 of AMBER. This includes extremely high-throughput thermodynamic integration free energy methods, explicit solvent constant pH simulations, advanced umbrella sampling restraints, multi-dimensional replica exchange methods, and asymmetric boundary conditions. We'll also discuss the development and validation of our latest precision model, SPXP, which is focused on maximizing the performance achievable from Maxwell-generation hardware without sacrificing accuracy.
ABOUT THE SPEAKER: Ross is an Associate Research Professor at the San Diego Supercomputer Center, an Adjunct Associate Professor in the Department of Chemistry and Biochemistry at the University of California, San Diego, and an NVIDIA Fellow. He runs the Walker Molecular Dynamics Lab in San Diego, where he leads a team that develops advanced techniques for Molecular Dynamics Simulations supporting work aimed at improved drug and biocatalyst design. His work includes the development of the world's fastest GPU-accelerated Molecular Dynamics software.
LOS ALAMOS NATIONAL LABORATORY, Staff Scientist
Adapting the Visualization Toolkit for Many-Core Processors with the VTK-m Library
To address the need for HPC scientific visualization software to effectively exploit GPUs and other many-core processors, U.S. DOE researchers are building a new library, named VTK-m. VTK-m provides a framework for simplifying the design of visualization algorithms on emerging architectures. It provides a flexible data model that can adapt to many scientific data types and operate well on multithreaded devices. Finally, VTK-m serves as a container for algorithms designed in the framework and gives the visualization community a common point to collaborate, contribute, and leverage massively threaded algorithms. In this talk, we will describe the design of VTK-m, and present results related to the functionality and performance of VTK-m for a variety of visualization applications.
ABOUT THE SPEAKER: Christopher Sewell is a staff scientist in the Computer, Computational, and Statistical Sciences Division at Los Alamos National Laboratory. His research interests include large-scale and in-situ visualization and analysis, data-parallelism, and multi-core and many-core technologies. Before joining Los Alamos, Christopher worked in the fields of haptics and medical robotics. He received a B.S. in Computer Science from Texas A&M University and an M.S. and Ph.D. in Computer Science from Stanford University.
NVIDIA, DevTech Engineer
We'll compare the current state of two competing accelerator directive sets: OpenACC 2.5 and OpenMP 4.5. As members of both the OpenACC technical committee and the OpenMP language committee, we'll provide an inside take on the current state of the directives and insight into how to transition between the directive sets.
ABOUT THE SPEAKER: Jeff Larkin is a software engineer in NVIDIA's Developer Technology (DevTech) group, where he works on porting and optimizing HPC applications. He is also closely involved with the development of both the OpenACC and OpenMP specifications. Prior to joining NVIDIA, Jeff worked in Cray's Supercomputing Center of Excellence at Oak Ridge National Laboratory.
Senior Software Engineer
Effective Analysis of Large, Multi-Scale Combustion Simulations
Physicist & PhD Student
Development of a Track Trigger Based on GPUs for the CMS Experiment at CERN
SKA SOUTH AFRICA
Technical Lead: Scientific Computing
Embedded Supercomputing: Radio Astronomy at the Limit
SPACEX, Senior Software Engineer
SpaceX is creating a multi-physics code with the aim of accurately modeling combustion processes inside a rocket engine. A major challenge is that system-wide effects are driven by processes 6 orders of magnitude smaller, so the simulation must capture all scales simultaneously. One way to handle the enormous size and complexity of the problem is by using wavelet techniques to dynamically adapt the simulation space, but this presents challenges for analysis and visualization of terabytes of irregularly-structured data. We present techniques for operating natively on sparse data representations, allowing us to process and visualize the data in-situ directly from its multi-resolution format.
ABOUT THE SPEAKER: Stephen Jones leads the Simulation and Analytics group at SpaceX, where he works on various projects, including large-scale simulation of combustion processes in rocket engines. He previously worked at NVIDIA, where he was the architect for the CUDA language and worked closely with NVIDIA's hardware designers to develop new GPU features in support of parallel programming. His background is in computational fluid mechanics and plasma physics, but he has worked in diverse industries, including networking, CAD/CAM, and scientific computing.
CERN, Physicist & PhD Student
Development of a Track Trigger Based on GPUs for the CMS Experiment at CER
We'll discuss the CMS experiment at CERN, which is planning a major upgrade to cope with an expected average number of overlapping collisions per bunch crossing of 140. A key element of this upgrade will be the introduction of tracker information at the very first stages of the trigger system for which several possible hardware implementations are under study. In particular the adoption of GPUs in the first level of the trigger system is currently being investigated.
ABOUT THE SPEAKER: Felice Pantaleo is a high-energy physicist (M.S. at University of Pisa), working at CERN for the CMS experiment. He has worked with GPUs since 2008, for astrophysical simulations and maximization of likelihood for fast fitting in ROOT framework. For the last four years, his work has focused on real-time triggering for the NA62 and CMS experiments. He is a Ph.D. student at CERN and the University of Hamburg.
SKA SOUTH AFRICA, Technical Lead: Scientific Computing
This talk will present designs and performance results for a highly parallel Tegra X1 based compute platform being developed as part of a next generation radio telescope. The MeerKAT radio telescope is currently under construction in the semi-desert Karoo region of Southern Africa. This talk presents the ongoing work into developing novel computing technologies to deliver a large scale computational platform within the strict confines of power, space and emission that are in force at this remote site. Using the Tegra X1 as a building block, a rugged, oil-cooled platform has been developed that will power the imager that lies at the heart of the compute challenge. This is a follow on talk from an initial exploration presented in 2015.
ABOUT THE SPEAKER: Simon is the lead for scientific computing at SKA South Africa, including overall design and architecture for the high-performance computing systems on the MeerKAT radio telescope. He is also a core member of the international SKA Science Data Processor consortia that is currently designing the compute backend for the Square Kilometer Array, which will be one of the largest scientific facilities in the world.