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Advancing Fusion Science with CGYRO using GPU-based Leadership Systems

Jeff Candy and Igor Sfiligoi from General Atomics gave this talk at the GPU Technology Conference. “Gyrokinetic simulations are one of the most useful tools for understanding fusion science. We’ll explain how we designed and implemented CGYRO to make good use of the tens of thousands of GPUs on such systems, which provide simulations that bring us closer to fusion as an abundant clean energy source. We’ll also share benchmarking results of both CPU- and GPU-Based systems.”

Video: Multi-GPU FFT Performance on Different Hardware Configurations

Kevin Roe from the Maui High Performance Computing Center gave this talk at the GPU Technology Conference. “We will characterize the performance of multi-GPU systems in an effort to determine their viability for running physics-based applications using Fast Fourier Transforms (FFTs). Additionally, we’ll discuss how multi-GPU FFTs allow available memory to exceed the limits of a single GPU and how they can reduce computational time for larger problem sizes.”

Video: The Kokkos C++ Performance Portability EcoSystem for Exascale

Christian Trott from Sandia gave this talk at the GPU Technology Conference. “The Kokkos C++ Performance Portability EcoSystem is a production-level solution for writing modern C++ applications in a hardware-agnostic way. We’ll provide success stories for Kokkos adoption in large production applications on the leading supercomputing platforms in the U.S. We’ll focus particularly on early results from two of the world’s most powerful supercomputers, Summit and Sierra, both powered by NVIDIA Tesla V100 GPUs.”

Video: Exascale Deep Learning for Climate Analytics

Thorsten Kurth Josh Romero gave this talk at the GPU Technology Conference. “We’ll discuss how we scaled the training of a single deep learning model to 27,360 V100 GPUs (4,560 nodes) on the OLCF Summit HPC System using the high-productivity TensorFlow framework. This talk is targeted at deep learning practitioners who are interested in learning what optimizations are necessary for training their models efficiently at massive scale.”

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.”

Video: How to Scale from Workstation through Cloud to HPC in Cryo-EM Processing

Lance Wilson from Monash University gave this talk at the GPU Technology Conference. “We’ll review the last two years of development in single-particle cryo-electron microscopy processing, with a focus on accelerated software, and discuss benchmarks and best practices for common software packages in this domain. Our talk will include videos and images of atomic resolution molecules and viruses that demonstrate our success in high-resolution imaging.”

Get Your Head in the Cloud: Lessons in GPU Computing with Schlumberger

Wyatt Gorman from Google and Abhishek Gupta from Schlumberger gave this talk at the GPU Technology Conference. “Demand for GPUs in High Performance Computing is only growing, and it is costly and difficult to keep pace in an entirely on-premise environment. We will hear from Schlumberger on why and how they are utilizing cloud-based GPU-enabled computing resources from Google Cloud to supply their users with the computing power they need, from exploration and modeling to visualization.”

GPU Technology Conference Returns to DC in November

NVIDIA’s GPU Technology Conference will returns to Washington, D.C. Nov 5-6, 2019. “GTC is the premier AI and deep learning conference series, providing you with training, insights, and direct access to experts from NVIDIA and other leading organizations. Join NVIDIA for the latest breakthroughs in self-driving cars, accelerated data science, healthcare, big data, high-performance computing, virtual reality, and more.”

Simplifying AI, Data Science, and HPC Workloads with NVIDIA GPU Cloud

Adel El Hallak and Philip Rogers from NVIDIA gave this talk at the GPU Technology Conference. “Whether it’s for AI, data science and analytics, or HPC, GPU-Accelerated software can make possible the previously impossible. But it’s well known that these cutting edge software tools are often complex to use, hard to manage, and difficult to deploy. We’ll explain how NGC solves these problems and gives users a head start on their projects by simplifying the use of GPU-Optimized software.”

Video: The Human Side of AI

 In this video from the GPU Technology Conference, Dan Olds from OrionX discusses the human impact of AI with Greg Schmidt from HPE. The industry buzz about artificial intelligence and deep learning typically focuses on hardware, software, frameworks,  performance, and the lofty business plans that will be enabled by this new technology. What we don’t […]