The Week in HPC Research

By Tiffany Trader

January 24, 2013

As the name implies, this new feature highlights the top research stories of the week, hand-selected from prominent science journals and leading conference proceedings. This week brings us a wide-range of topics from stopping the spread of pandemics, to the latest trends in programming and chip design, and tools for enhancing the quality of simulation models.

Heading Off Pandemics

Virgina Tech researchers Keith R. Bisset, Stephen Eubank, and Madhav V. Marathe presented a paper at the 2012 Winter Simulation Conference that explores how high performance informatics can enhance pandemic preparedness.

The authors explain that pandemics, such as the recent H1N1 influenza, occur on a global scale and affect large swathes of the population. They are closely aligned with human behavior and social contact networks. The ordinary behavior and daily activities of individuals operating in modern society (with its large urban centers and reliance on international travel) provides the perfect environment for rapid disease propagation. Change the behavior, however, and you change the progression of a disease outbreak. This maxim is at the heart of public health policies aimed at mitigating the spread of infectious disease.

Armed with this knowledge, experts can develop effective planning and response strategies to keep pandemics in check. According to the authors, “recent quantitative changes in high performance computing and networking have created new opportunities for collecting, integrating, analyzing and accessing information related to such large social contact networks and epidemic outbreaks.” The Virginia Tech researchers have leveraged these advances to create the Cyber Infrastructure for EPIdemics (CIEPI), an HPC-oriented decision-support environment that helps communities plan for and respond to epidemics.

Next >> Help for the “Average Technologist”

Help for the “Average Technologist”

Another paper in the Proceedings of the Winter Simulation Conference addresses methods for boosting the democratization of modeling and simulation. According to Senior Technical Education Evangelist at The MathWorks Justyna Zander (who also affiliated with Gdansk University of Technology in Poland) and Senior Research Scientist at The MathWorks Pieter J. Mosterman (who is also an adjunct professor at McGill University), the list of practical applications associated with computational science and engineering is expanding. It’s common for people to use search engines, social media, and aspects of engineering to enhance their quality of life.

The researchers are proposing an online modeling and simulation (M&S) platform to assist the “average technologist” with making predictions and extrapolations. In the spirit of “open innovation,” the project will leverage crowd-sourcing and social-network-based processes. They expect the tool to support a wide range of fields, for example behavioral model analysis, big data extraction, and human computation.

In the words of the authors: “The platform aims at connecting users, developers, researchers, passionate citizens, and scientists in a professional network and opens the door to collaborative and multidisciplinary innovations.”

Next >> OpenStream and OpenMP

OpenStream and OpenMP

OpenMP is an API that provides shared-memory parallel programmers with a method for developing parallel applications on a range of platforms. A recent paper in the journal ACM Transactions on Architecture and Code Optimization (TACO) explores a streaming data-flow extension to the OpenMP 3.0 programming language. In this well-structured 26-page paper, OpenStream: Expressiveness and data-flow compilation of OpenMP streaming programs, researchers Antoniu Pop and Albert Cohen of INRIA and École Normale Supérieure (Paris, France) present an in-depth evaluation of their hypothesis.

Inria OpenStream research diagramThe work addresses the need for productivity-oriented programming models that exploit multicore architectures. The INRIA researchers argue the strength of parallel programming languages based on the data-flow model of computation. More specifically, they examine the stream programming model for OpenMP and introduce OpenStream, a data-flow extension of OpenMP that expresses dynamic dependent tasks. As the INRIA researchers explain, “the language supports nested task creation, modular composition, variable and unbounded sets of producers/consumers, and first-class streams.”

“We demonstrate the performance advantages of a data-flow execution model compared to more restricted task and barrier models. We also demonstrate the efficiency of our compilation and runtime algorithms for the support of complex dependence patterns arising from StarSs benchmarks,” notes the abstract.

Next >> The Superconductor Promise

The Superconductor Promise

There’s no denying that the pace of Moore’s Law scaling has slowed as transistor sizes approach the atomic level. Last week, DARPA and a semiconductor research coalition unveiled the $194 million STARnet program to address the physical limitations of chip design. In light of this recent news, this research out of the Nagoya University is especially relevant.

Quantum engineering specialist Akira Fukimaki has authored a paper on the advancement of superconductor digital electronics that highlights the role of the Rapid Single Flux Quantum (RSFQ) logic circuit. Next-generation chip design will need to minimize power demands and gate delay and this is the promise of RSFQ circuits, according to Fukimaki.

“Ultra short pulse of a voltage generated across a Josephson junction and release from charging/discharging process for signal transmission in RSFQ circuits enable us to reduce power consumption and gate delay,” he writes.

Fukimaki argues that RSFQ integrated circuits (ICs) have advantages over semiconductor ICs and energy-efficient single flux quantum circuits have been proposed that could yield additional benefits. And thanks to advances in the fabrication process, RSFQ ICs have a proven role in mixed signal and IT applications, including datacenters and supercomputers.

Next >> Working Smarter, Not Harder

Working Smarter, Not Harder

Is this a rule to live by or an overused maxim? A little of both maybe, but it’s also the title of a recent journal paper from researchers Susan M. Sanchez of the Naval Postgraduate School, in Monterey, Calif., and Hong Wan of Purdue University, West Lafayette, Ind.

“Work smarter, not harder: a tutorial on designing and conducting simulation experiments,” published in the WSC ’12 proceedings, delves into one of the scientist’s most important tasks, creating simulation models. Such models not only greatly enhance scientific understanding, they have implications that extend to national defense, industry and manufacturing, and even inform public policy.

Creating an accurate model is complex work, involving thousands of factors. While realistic, well-founded models are based on high-dimensional design experiments, many large-scale simulation models are constructed in ad hoc ways, the authors claim. They argue that what’s needed is a solid foundation in experimental design. Their tutorial includes basic design concepts and best practices for conducting simulation experiments. Their goal is to help other researchers transform their simulation study into a simulation experiment.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with HPE for a new 8-petaflops (peak) supercomputer that will be used to advance early-stage R&D on energy technologies s Read more…

By Tiffany Trader

Training Time Slashed for Deep Learning

August 14, 2018

Fast.ai, an organization offering free courses on deep learning, claimed a new speed record for training a popular image database using Nvidia GPUs running on public cloud infrastructure. A pair of researchers trained Read more…

By George Leopold

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learning. The CERN team demonstrated that AI-based models have the Read more…

By Rob Farber

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Super Problem Solving

You might think that tackling the world’s toughest problems is a job only for superheroes, but at special places such as the Oak Ridge National Laboratory, supercomputers are the real heroes. Read more…

Rigetti Eyes Scaling with 128-Qubit Architecture

August 10, 2018

Rigetti Computing plans to build a 128-qubit quantum computer based on an equivalent quantum processor that leverages emerging hybrid computing algorithms used to test programs and potential applications. Founded in 2 Read more…

By George Leopold

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with HPE for a new 8-petaflops (peak) supercomputer that will be Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

SLATE Update: Making Math Libraries Exascale-ready

August 9, 2018

Practically-speaking, achieving exascale computing requires enabling HPC software to effectively use accelerators – mostly GPUs at present – and that remain Read more…

By John Russell

Summertime in Washington: Some Unexpected Advanced Computing News

August 8, 2018

Summertime in Washington DC is known for its heat and humidity. That is why most people get away to either the mountains or the seashore and things slow down. H Read more…

By Alex R. Larzelere

NSF Invests $15 Million in Quantum STAQ

August 7, 2018

Quantum computing development is in full ascent as global backers aim to transcend the limitations of classical computing by leveraging the magical-seeming prop Read more…

By Tiffany Trader

By the Numbers: Cray Would Like Exascale to Be the Icing on the Cake

August 1, 2018

On its earnings call held for investors yesterday, Cray gave an accounting for its latest quarterly financials, offered future guidance and provided an update o Read more…

By Tiffany Trader

Google is First Partner in NIH’s STRIDES Effort to Speed Discovery in the Cloud

July 31, 2018

The National Institutes of Health, with the help of Google, last week launched STRIDES - Science and Technology Research Infrastructure for Discovery, Experimen Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17

Altair

AMD @ SC17

AMD

ASRock Rack @ SC17

ASRock Rack

CEJN @ SC17

CEJN

DDN Storage @ SC17

DDN Storage

Huawei @ SC17

Huawei

IBM @ SC17

IBM

IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17

Intel

Lenovo @ SC17

Lenovo

Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17

Microsoft

Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17

Supericro

Tyan @ SC17

Tyan

Univa @ SC17

Univa

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This