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HPC People on the Move: May Edition

Dr. Lewey Anton

Dr. Lewey Anton reports on who’s jumping ship and moving on up in HPC. In this edition, Sumit Gupta leaves Nvidia for a new post as VP of HPC & OpenPOWER Operations at IBM.

Alternatives to x86: Future Processing Technologies

Robert Roe

In the second article in his series on future hardware for HPC, Robert Roe from Scientific Computing World looks at alternatives to the x86, including server on a chip and OpenPower.

Achieving Near-Native GPU Performance in the Cloud

John Paul Walters

“In this session we describe how GPUs can be used within virtual environments with near-native performance. We begin by showing GPU performance across four hypervisors: VMWare ESXi, KVM, Xen, and LXC. After showing that performance characteristics of each platform, we extend the results to the multi-node case with nodes interconnected by QDR InfiniBand. We demonstrate multi-node GPU performance using GPUDirect-enabled MPI, achieving efficiencies of 97-99% of a non-virtualized system.”

Simulating Global Atmosphere with NICAM on TSUBAME2.5 Using OpenACC

openacc

“OpenACC was applied to the a global high-resolution atmosphere model named NICAM. We executed the dynamical core test without re-writing any specific kernel subroutines for GPU execution. Only 5% of the lines of source code were modified, demonstrating good portability. The results showed that the kernels generated by OpenACC achieved good performance, which was appropriate to the memory performance of GPU, as well as weak scalability. A large-scale simulation was carried out using 2560 GPUs, which achieved 60 TFLOPS.”

Attacking HIV with Titan and Blue Waters

hiv

“The highly parallel molecular dynamics code NAMD was was one of the first codes to run on a GPU cluster when G80 and CUDA were introduced in 2007, and is now used to perform petascale biomolecular simulations, including a 64-million-atom model of the HIV virus capsid, on the GPU-accelerated Cray XK7 Blue Waters and ORNL Titan machines.”

Video: HPC Solution Stack on OpenPOWER

openpower

“This demo will show the capability of IBM OpenPOWER that can be the foundation of the complicated High Performance Computing complete solution. From the HPC cluster deployment, job scheduling, system management, application management to the science computing workloads on top of them, all these components can be well constructed on top of IBM OpenPOWER platform with good usability and performance. Also this demo shows the simplicity of migrating a complete x86 based HPC stack to the OpenPOWER platform.”

Video: OpenACC for Fortran Programmers

wolfe

“Learn how to program NVIDIA GPUs using Fortran with OpenACC directives. The first half of this presentation will introduce OpenACC to new GPU and OpenACC programmers, providing the basic material necessary to start successfully using GPUs for your Fortran programs. The second half will be intermediate material, with more advanced hints and tips for Fortran programmers with larger applications that they want to accelerate with a GPU. Among the topics to be covered will be dynamic device data lifetimes, global data, procedure calls, derived type support, and much more.”

Video: GPUs Power Simulation of the SpaceX Mars Rocket Engine

spacex

“SpaceX is designing a new, methane-fueled engine powerful enough to lift the equipment and personnel needed to colonize Mars. A vital aspect of this effort involves the creation of a multi-physics code to accurately model a running rocket engine. The scale and complexity of turbulent non-premixed combustion has so far made it impractical to simulate, even on today’s largest supercomputers. We present a novel approach using wavelets on GPUs, capable of capturing physics down to the finest turbulent scales.”

Petascale Comet Supercomputer Enters Early Operations

comet

“Comet is really all about providing high-performance computing to a much larger research community – what we call ‘HPC for the 99 percent’ – and serving as a gateway to discovery,” said SDSC Director Michael Norman, the project’s principal investigator. “Comet has been specifically configured to meet the needs of researchers in domains that have not traditionally relied on supercomputers to solve their problems.”

Multi-GPU Cluster to Power Deep Learning Research at NYU

cloud

Over at the Nvidia Blog, Kimberly Powell writes that New York University has just installed a new computing system for next generation deep learning research. Called “ScaLeNet,” the eight-node Cirrascale cluster is powered by 64 Nvidia Tesla K80 dual-GPU accelerators.