[November 19, 2013] |
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IDC Announces Winners of Sixth HPC Innovation Excellence Awards
DENVER --(Business Wire)--
International Data Corporation (IDC)
today announced the sixth round of recipients of the HPC
Innovation Excellence Award at the ISC'13
supercomputer industry conference in Leipzig, Germany. Prior winners
were announced at the ISC'11, SC'11, ISC'12, SC'12, and ISC'13
supercomputing conferences.
The HPC Innovation Excellence Award recognizes noteworthy achievements
by users of high performance computing (HPC) technologies. The program's
main goals are: to showcase return on investment (ROI) and scientific
innovation success stories involving HPC; to help other users better
understand the benefits of adopting HPC and justify HPC investments,
especially for small and medium-size businesses (SMBs); to demonstrate
the value of HPC to funding bodies and politicians; and to expand public
support for increased HPC investments.
"IDC (News - Alert) research has shown that HPC can impact innovation cycles greatly
and can potentially generate ROI. The award program aims to collect a
large set of success stories across many research disciplines,
industries, and application areas," said Chirag Dekate, Research
Manager, High-Performance Systems at IDC. "The winners achieved clear
success in applying HPC to greatly improve business ROI, scientific
advancement, and/or engineering successes. Many of the achievements also
directly benefit society."
Winners of the first five rounds of awards, announced in 2011, 2012 and
at ISC'13, included 29 organizations from the U.S., 3 each from Italy
and the People's Republic of China, 2 each from India and the UK, and 1
each from Australia, Canada, Spain, and Sweden.
The new award winners and project leaders announced at ISC'13 are as
follows (contact IDC for additional details about the projects):
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GE Global Research (U.S.) Using a 40 million CPU hour
Department of Energy award, GE Global Research has modeled the
freezing behavior of water droplets on six different engineered
surfaces under six operating conditions on the hybrid CPU/GPU Titan at
Oak Ridge National Lab (ORNL). Through recent advances in the field,
including a joint simulation enhancement effort with Oak Ridge
National Lab to fully leverage hardware infrastructures, GE Global
Research has been able to accelerate simulations by approximately
200-fold compared to even just two years ago. Lead: Masako Yamada
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The Procter & Gamble Company (U.S.) P&G researchers and
collaborators at Temple University developed models at the molecular
and mesoscale level to understand complex molecular interactions of
full formula consumer products such as shampoos, conditioners, facial
creams, laundry detergents, etc. The HPC-driven research helped shed
light on the performance of the complex formula interactions versus
inferring performance based on isolated calculations. Results of the
HPC -driven research led to a better understanding of interfacial
phenomena, phase behavior, and the performance of several P&G
products. Lead: Kelly L. Anderson
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National Institute of Supercomputing and Networking, Korea
Institute of Science and Technology Information (Korea) The EDISON
(EDucation and research Integration through Simulation On the Net)
Project, funded by the Ministry of Science, ICT and Future Planning,
Korea, established an infrastructure on the Web where users across the
country could easily access and utilize various engineering/science
simulation tools for educational and research purposes. The EDISON
project is accelerating research in five key areas: Computational
Fluid Dynamics, Computational Chemistry, Nano Physics, Computational
Structural Dynamics, and Multi-disciplinary Optimization. The Project
utilizes a novel partnership model between the project and the
respective domains to develop area-specific simulation tools that make
HPC accessible to domain specialists. Lead: Kumwon Cho
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GE Global Research (U.S.) GEGlobal Research's work on Large
Eddy Simulations (LES) leveraged petascale computing to break barriers
in accurately characterizing the key flow physics of multi-scale
turbulent mixing in boundary layer and shear flows. Findings from this
research will significantly improve the prediction and design
capabilities for next-generation aircraft engines and wind turbines,
both from demonstrating the viability of LES as a characterization
tool and as a source of physics guidance. Lead: Umesh Paliath
-
Spectraseis Inc (U.S.) and CADMOS, University of Lausanne
(Switzerland) Researchers doubled both acoustic and elastic solver
throughput, at the same time improving code size and maintainability,
harnessing the massive parallel computing capabilities of Fermi and
Kepler GPUs. With improved efficacies obtained by code redesign for
GPU the time to solution was reduced from hours to seconds. The
improved capability allowed Spectraseis to move from 2D to 3D and, in
several cases, obtain more than 100x speed-up. Lead: Igor
Podladtchikov and Yury Podladchikov
-
Intelligent Light (U.S.) Intelligent Light addressed the
challenge of high volumes of CFD data using FieldView 14 data
management and process automation tools. Intelligent Light contributed
results from approximately 100 cases with more than 10,000 time steps
each to deliver a complete response to the workshop objectives. A Cray
XE6 was used to generate the CFD solutions and perform much of the
post-processing. This project successfully demonstrated the value and
practicality of using innovative workflow engineering with automation
and data management for complex CFD studies. Lead: Dr. Earl P.N.
Duque
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Facebook (News - Alert) (U.S.) Facebook manages a social graph that is
composed of people, their friendships, subscriptions, and other
connections. Facebook modified Apache Giraph to allow loading vertex
data and edges from separate sources (GIRAPH-155). Facebook was able
to run an iteration of page rank on an actual one trillion edge social
graph formed by various user interactions in fewer than four minutes
with the appropriate garbage collection and performance tuning.
Facebook can now cluster a monthly active user data set of one billion
input vectors with 100 features into 10,000 centroids with k-means in
less than 10 minutes per iteration. Lead: Avery Ching / Apache
Giraph
-
HydrOcean/Ecole Centrale Nantes (France) SPH-flow is an
innovative fluid dynamic solver based on a meshless, compressible, and
time-explicit approach. SPH-flow solver has been used in several
industrial projects, including: impact forces of aircraft and
helicopter ditching; free surface simulations of ship wake and wave
fields; multiphase emulsion simulations; extreme wave impacts on
structures; simulation of hydroplaning of tires; water film around car
bodies; and underwater explosions. This project is lead by Dr.
Erwan Jacqin, CEO of HydrOcean, a spinoff from Ecole Centrale
fluid dynamic lab, and Prof. David Le Touze, in charge of the
SPH-flow research team at Ecole Centrale Nantes.
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Imperial College London and NAG (UK) HPC experts from NAG and
Imperial College London have implemented scientifically valuable new
functionality and substantial performance improvements in the
Incompact3D application. After the improvements, the simulations can
now scale to 8000 cores efficiently, with a run time of around 3.75
days (wall-clock time), which is over 6x faster. Furthermore, meshes
for new high resolution turbulence mixing and flow control
simulations, which use up to 4096*4096*4096 grid points, can now
utilize as many as 16384 cores. Lead: NAG HECToR CSE Team
-
Queen Mary University of London and NAG (UK) NAG and Queen Mary
University of London made significant improvements to CABARET (Compact
Accurate Boundary Adjusting high Resolution Technique) code so that it
may be used to solve the compressible Navier-Stokes equations and, in
the context of this project, for the investigation of aircraft noise.
The newly developed code was validated and tested against the serial
code and a parallel efficiency of 72% was observed when using 250
cores of the XT4 part of HECToR with the quad core architecture. Lead:
NAG HECToR CSE Team
-
Southern California Earthquake Center (U.S.) SCEC has built a
special simulation platform, CyberShake, which uses the time-reversal
physics of seismic reciprocity to reduce the computational cost by
1000x. Additionally, the production time for a complete regional
CyberShake model at seismic frequencies up to 0.5 Hz has been reduced
by 10x, and four new hazard models have been run on NCSA Blue Waters
and TACC Stampede. SCEC researchers have developed highly parallel,
highly efficient CUDA-optimized wave propagation code, called
AWP-ODC-GPU, that achieved a sustained performance of 2.8 Petaflops on
ORNL Titan. LEAD: Southern California Earthquake Center Community
Modeling Environment Collaboration
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Princeton University/Princeton Plasma Physics Laboratory (U.S.) Using
high-end supercomputing resources, advanced simulations of confinement
physics for large-scale MFE plasmas have been carried out for the
first time with very high phase-space resolution and long temporal
duration to deliver important new scientific insights. This research
was enabled by the new GTC-P code, developed to use multi-petascale
capabilities on world-class systems such as the IBM BG-Q "Mira" @ ALCF
and "Sequoia" @ LLNL. Leads: William Tang, Bei Wang, and
Stephane Ethier
-
Oak Ridge Leadership Computing Facility, Oak Ridge National
Laboratory (U.S.) Researchers at ORNL have used the Titan
supercomputer to perform the first simulations of organic solar cell
active layers at scales commensurate with actual devices. By modifying
the LAMMPS molecular dynamics software to use GPU acceleration on
Titan, the researchers were able to perform simulations to study how
different polymer blends can be used to alter the device morphology.
The new insights will aid in the rational design of cheap solar cells
with higher efficiency. Results are published in the journal Physical
Chemistry Chemical Physics. Lead: W. Michael Brown (News - Alert) and Jack C.
Wells
-
Ford Werke GmbH (Germany) Researchers at Ford Werke GmbH have
developed and deployed a new CAE process, which enables the
optimization of the airflow through the cooling package of a vehicle
using complex 3D CFD analysis. The Ford team also demonstrated it
could run these complex simulations fast enough to enable their use
within the time constraints of a vehicle development project. The
team's work on Jaguar at Oak Ridge National Lab will help Ford
maximize the effectiveness and fuel efficiency of engine bay designs
throughout the company. Lead: Dr. Burkhard Hupertz and Alex Akkerman
IDC welcomes award entries from anywhere in the world. Entries may be
submitted at any time by completing the brief form available at https://www.hpcuserforum.com/innovationaward/.
New winners will be announced multiple times each year. Submissions must
contain a clear description of the dollar value or scientific value
received in order to qualify. The HPC User Forum Steering Committee
performs an initial ranking of the submissions, after which domain and
vertical experts are called on, as needed, to evaluate the submissions.
HPC Innovation Excellence Award sponsors include Adaptive Computing (News - Alert),
Altair, AMD, Ansys, Cray, Avetec/DICE, the Boeing Company, the Council
on Competitiveness, Department of Defense, Department of Energy, Ford
Motor Company, Hewlett Packard, HPCwire, insideHPC, Intel, Microsoft (News - Alert),
National Science Foundation, NCSA, Platform Computing, Scientific
Computing, and SGI.
The next round of HPC Innovation Excellence Award winners will be
announced at ISC'14 in June 2014.
About IDC
International Data Corporation (IDC) is the premier global provider of
market intelligence, advisory services, and events for the information
technology, telecommunications, and consumer technology markets. IDC
helps IT professionals, business executives, and the investment
community to make fact-based decisions on technology purchases and
business strategy. More than 1,000 IDC analysts provide global,
regional, and local expertise on technology and industry opportunities
and trends in over 110 countries. For more than 49 years, IDC has
provided strategic insights to help our clients achieve their key
business objectives. IDC is a subsidiary of IDG, the world's leading
technology media, research, and events company. You can learn more about
IDC by visiting www.idc.com.
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