Big Data Rains Down on Seattle

By Nicole Hemsoth

October 20, 2011

The running theme for SC11 will be data-intensive science, with a large number of presentations and sessions focused on the problems and new developments spawned by “big data” and technical or scientific computing.

According to John Johnson, conference thrust chair and association division director at Pacific Northwest National Laboratory, “Data is a huge challenge in science today…the rapid advancements in data collection and generation are challenging traditional methods of storing, managing and analyzing the information.” He says that this year the supercomputing community is “being called upon to rise to the data challenge and develop methods for dealing with the exponential growth of data and strategies for analyzing and storing large data sets.”

With this theme in mind, we wanted to call your attention to some select sessions and special events at SC11 for those who are exploring data-intensive computing. As Johnson noted, the main issues are analysis, management and storage of large data sets, thus we’ll organize our “must see” elements for the show along those lines with the addition of visualization as another important topic for data-intensive scientific computing.

This year’s emphasis is in line with the announcement of the Graph 500 list, which will be presented on Tuesday afternoon. This will showcase the top of the line systems (according to the benchmark, anyway) for data-intensive computing applications. The organizers hope the session that follows will provide a discussion opportunity that will focus on evolution of the benchmark and the future of data-intensive science. The session can be found here and more information about this notable list can be found at the Graph 500 site.

In advance of the topical breakdown, however, it is worth mentioning that there is a thorough introduction to data intensive computing that runs for the first half of the morning on Monday. This session, presented by Robert Grossman from the University of Chicago and Collin Bennett from the Open Data Group will offer the “big picture” of data intensive computing by touching on utility clouds (Amazon) and data clouds, as provided by Hadoop. They will also provide an introduction to managing scientific datasets using distributed file systems like Hadoop and NoSQL databases like HBase. This will be in addition to parallel programming frameworks, including MapReduce, Hadoop steams and related techniques. It’s a lot to achieve in one short morning but the presents hope to illustrate the role of these and other tools for managing large datasets. If Monday morning is free and you want an initial big data deep dive, this is probably the best session early in the conference.

Analysis

The Second SC Workshop on Petascale Data Analytics: Challenges and Opportunities workshop, which runs all day on Monday will provide a dense overview on the growth of data intensive applications (and dataset sizes) and show how trends like cloud computing are becoming a way to handle the peak loads and large data demands of emerging applications. This workshop will be hosted by researchers from Oak Ridge National Lab and the University of Minnesota.

Another day-long workshop on Monday focused on data-intensive computing will be presented by Ian Taylor from Cardiff University and Johan Montagnat from CNRS. This event, which is the sixth Workshop on Workflows in Support of Large-Scale Science will focus on the “many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies.” The presenters hope to cover a range of related issues throughout the day, including data intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance.

More analysis-related sessions of note include:

Semantic Graph Database Processing

Evaluating NoSQL for Enterprise Applications

Using Semantic Web Technologies on HPC Clouds

Management

There are a number of deeper, specialized sessions on management of big data, but a few do offer some promise for the non-specialist in terms of the tools that are the focus of the session. For instance, Monday’s “Big Data Means Your Metadata Must Work” touches on the range of tools uses to capture and use metadata using real-world examples. The presenters hope to provide attendees with a better sense of the many metadata tools that are available and how can be used to help share big data.

Other management-related sessions to note include:

Parallel Index and Query for Large Scale Data Analysis

Hadoop Acceleration Through Network Levitated Merge

Open source file systems – Transitioning from Petascale to Exascale

I/O Streaming Evaluation of Batch Queries for Data-Intensive Computational Turbulence

Storage

With estimates predicting that data growth will surpass Moore’s Law to 1.8 zettabytes by the end of this year and file-based data growing 75 times what it is now over the course of the next decade, the storage piece of the data-intensive computing puzzle is among the most important.

There are a number of presentations during the show, including one from Nick Kirsh of EMC/Isilon, called “Big Data, Big Opportunity: Maximizing the Value of Data in HPC Environments.” Kirsh plans to present “real-life implementations in which scale-out storage dramatically accelerated data and server performance, speeding time-to-results in critical HPC projects to extract maximum value from HPC data.” He also plans to address how implementing scale-storage can work toward eradicating the bottlenecks that HPC users with large datasets encounter.

Other storage-related sessions to note include:

The Sixth Parallel Data Storage Workshop (all-day event)

Terascala – Enabling Fast, Easy to Manage Storage Appliances

Visualization

One of the highlights this year will be the Scientific Visualization Showcase, which will demonstrate how visualization is being used to model everything from the beginning of the universe to jet engines. While this range of presentations is guaranteed to be great eye candy, there are a relatively large number of visualization presentations this year.

Visualization events outside of the showcase include a workshop on ultrascale visualization presented by Kwan Liu Ma from the University of California, Davis and Michael Papka from Argonne National Lab. The workshop, which runs from 9:00-5:30 on Sunday before the conference kickoff, will address new ways to become capable of exploiting petascale data to its fullest with exascale datasets on the horizon. The two will spend Sunday addressing “the latest and greatest research innovations in large data visualization and how these innovations impact scientific supercomputing and the discovery process.”

A number of the instructional sessions will touch on various elements of large-scale data analysis and visualization, including a tutorial for using the open source visualization and analysis application ParaView, which allows users to visualize large data sets in parallel. Outside of the more application-specific tutorial, the presenters plan to provide more general guidance about visualizing the massive simulations that run on supercomputers—and do a walk through of installation and set-up of ParaView.

Other visualization-related sessions to note include:

Large-Scale Data Visualization for Data-Intensive and High-Dimensional Scientific Data Analysis

World-highest Resolution Global Atmospheric Model and Its Performance on the Earth Simulator

These lists certainly don’t do justice to the wide range of sessions to choose from across the data-intensive computing spectrum and didn’t even begin to touch on the many sessions with clear HPC/big data cross-over appeal. Still, we look forward to see you all in Seattle this year—stop by our booth to share insights you’ve gleaned from these and other presentations, won’t you?

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!

Natcast/NSTC Issues Roadmap to Implement CHIPS and Science Act

May 29, 2024

Yesterday, CHIPS for America and Natcast, the operator of the National Semiconductor Technology Center (NSTC), released a roadmap of early steps for implementing portions of the ambitious $5 billion program. Natcast is t Read more…

Scientists Use GenAI to Uncover New Insights in Materials Science

May 29, 2024

With the help of generative AI, researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can help uncover new insights about materials science. The findings of Read more…

Microsoft’s ARM-based CPU Cobalt will Support Windows 11 in the Cloud

May 29, 2024

Microsoft's ARM-based CPU, called Cobalt, is now available in the cloud for public consumption. Cobalt is Microsoft's first homegrown CPU, which was first announced six months ago. The cloud-based Cobalt VMs will support Read more…

2024 Winter Classic Finale! Gala Awards Ceremony

May 28, 2024

We wrapped up the competition with our traditional Gala Awards Ceremony. This was an exciting show, given that only 40 points or so separated first place from fifth place after the Google GROMACS Challenge and heading in Read more…

IBM Makes a Push Towards Open-Source Services, Announces New watsonx Updates

May 28, 2024

Today, IBM declared that it is releasing a number of noteworthy changes to its watsonx platform, with the goal of increasing the openness, affordability, and flexibility of the platform’s AI capabilities. Announced Read more…

ISC 2024 Takeaways: Love for Top500, Extending HPC Systems, and Media Bashing

May 23, 2024

The ISC High Performance show is typically about time-to-science, but breakout sessions also focused on Europe's tech sovereignty, server infrastructure, storage, throughput, and new computing technologies. This round Read more…

Scientists Use GenAI to Uncover New Insights in Materials Science

May 29, 2024

With the help of generative AI, researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can help un Read more…

watsonx

IBM Makes a Push Towards Open-Source Services, Announces New watsonx Updates

May 28, 2024

Today, IBM declared that it is releasing a number of noteworthy changes to its watsonx platform, with the goal of increasing the openness, affordability, and fl Read more…

ISC 2024 Takeaways: Love for Top500, Extending HPC Systems, and Media Bashing

May 23, 2024

The ISC High Performance show is typically about time-to-science, but breakout sessions also focused on Europe's tech sovereignty, server infrastructure, storag Read more…

ISC 2024 — A Few Quantum Gems and Slides from a Packed QC Agenda

May 22, 2024

If you were looking for quantum computing content, ISC 2024 was a good place to be last week — there were around 20 quantum computing related sessions. QC eve Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un 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…

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…

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…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. 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…

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…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top 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

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…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh 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…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire