Extreme Scaling Workshop Issues Call for Submissions

February 3, 2014

Feb. 3 — The National Science Foundation-funded Blue Waters and eXtreme Science and Engineering Discovery Environment (XSEDE) projects are hosting the 8th Extreme Scaling Workshop Aug. 14-15, 2014, at the University of Colorado, Boulder.

The conference committee seeks submissions of excellent quality addressing the challenges of using, designing, deploying, or integrating infrastructure for both big data analysis and large-scale computation to facilitate scientific discovery. The Extreme Scaling Workshop 2014 will showcase the discoveries, innovations, and achievements of those who use, build, and/or support advanced architectures at extreme scales around the world. The workshop will also provide a forum among researchers, professional staff, students, HPC center staff, and representatives from funding agencies to explore and discuss current successes and challenges as well as future needs and plans.

The proceedings for the workshop will be submitted to the IEEE Xplore digital library.

Example topics include:

  • Data-intensive applications running on HPC-style architectures
  • Big data analytical applications running on HPC-style architectures
  • Computationally intensive applications running on big data or data-intensive architectures
  • Using GPU/many-core processors for big data applications
  • System architectural features that can support big data and high-performance computing
  • Performance evaluation of systems that support big data
  • Big data algorithmic and application methods and overlap with computational algorithms
  • Resource management issues related to merging big data analytics and computational workflows on the same systems
  • Data storage sub-system performance and comparisons
  • Explanations of big data applications and how they may use more traditional HPC architectures effectively

Two types of submissions are encouraged from scientists, engineers, scholars, and high-performance technologists from colleges, universities, laboratories, industry, HPC centers, and other organizations conducting related work.

1.  Abstracts for papers that include title, abstract, and names and institutions of authors/presenters.  Abstracts should be no more than two pages in length and provide sufficient detail for the workshop committee to make informed judgments about the work. Abstracts should include the names and affiliations of all co-authors and indicate which author will be presenting. Authors whose abstracts are selected will be asked to submit a full paper by July 1, 2014, and to provide a 30-minute presentation during the workshop.  Full papers should follow the guidelines established by the IEEE.

2.  White papers that identify needs and requirements for improving the computing environment for big data analysis and computational simulation to facilitate large-scale scientific discovery.  Please provide a description (at least two paragraphs but at most two pages) of the desired improvement(s), including your name, institution, and how the improvement will enhance scientific discovery.  The white papers should address the top three improvements that will benefit the community. The workshop committee will select a few white paper authors to be members of a lightning round panel to each speak about the proposed improvements, and to foster discussion among the workshop participants.

There will be break-out discussions after the paper presentations and after the panels on needed improvements.  Workshop proceedings will include the accepted papers and white papers and a summary of recommendations from the discussions among the presenters and participants.

At least one author of each accepted full paper and white paper must participate in the conference to present and discuss their work.

Send questions and submissions to Scott Lathrop at [email protected] by May 1, 2014. Notice of acceptances will be issued by May 15, 2014.

Additional information is available at https://www.xsede.org/web/xscale/xscale14.

Key Dates

May 1:            Paper abstracts and white paper submissions due.

May 15:          Acceptances issued.

May 15:          Registration opens.

July 1:             Final papers due.

Aug. 14-15:   Workshop held at University of Colorado, Boulder

Registration, Travel and Accommodations

A registration fee of $175 covers the cost of food and beverages provided at the workshop.  The sleeping room rates are $139/night plus taxes.

This workshop is hosted by Blue Waters and XSEDE.

About Blue Waters

Blue Waters, one of the world’s most powerful supercomputers, enables scientists and engineers across the country to perform breakthrough research. With the Blue Waters petascale system, researchers can tackle the largest, most challenging compute-, data-, and memory-intensive problems—working with massive datasets and performing quadrillions of calculations every second. The project is funded by the National Science Foundation and located at and managed by the National Center for Supercomputing Applications. https://bluewaters.ncsa.illinois.edu/

About XSEDE

The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise. XSEDE accelerates scientific discovery by enhancing the productivity of researchers, engineers, and scholars by deepening and extending the use of XSEDE’s ecosystem of advanced digital services and by advancing and sustaining the XSEDE advanced digital infrastructure. XSEDE is a five-year, $121 million project and is supported by the National Science Foundation.

—–

Source: University of Illinois at Urbana-Champaign

Subscribe to HPCwire's Weekly Update!

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

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire