GlobusWORLD Video Series: Steve Tuecke on Science, SaaS Synergies

By Nicole Hemsoth

April 14, 2011

In scanning the floor during the GlobusWORLD conference event this week, it wasn’t hard to miss Steve Tuecke. Not just because of he towered over most of the attendees or the fact that he seemed to be everywhere at once–there was something else–you could say that he seemed to be bursting with energy. This was probably due to his excitement to showcase a new extension of his long-standing work with the Globus Project in the form of a web-based service aimed at researchers with big data demands called Globus Online.

Tuecke has been a fixture at the Computation Institute in Chicago, Illinois for around 20 years and currently serves as Deputy Director. Many of the projects he manages touch the high-performance and distributed computing spheres in addition to his work in biomedical informatics.

As one of the co-founders of the Globus Project, along with grid luminary, Ian Foster, Tuecke has overseen core elements of architecture, design and development. More recently, he has been working with grid and cloud services that underpin Globus Online, which provides a robust SaaS tool that is set to solve one of the most troublesome issues for researchers—long or complex file transfers to and from distributed resources. 

Although Tuecke explains some of the core concepts behind Globus Online (as do a number of others who will appear in our video interview series this week) in essence, this addition to Globus development efforts makes use of the software-as-a-service model via Amazon Web Services infrastructure to deliver a highly capable high-performance file transfer service.

While the Globus Toolkit was at the heart of any number of discussions during the GlobusWORLD event, the star of the show this year was definitely the Globus Online service. Proving that folks will do anything to win free Apple products and that the service does what it claims, a challenge was issued at the beginning of the conference for users to test the system. Markus Binsteiner, the force behind an interesting use case for Globus called Grisu, moved 228.13 TB and 533,062 files in 17 hours. (And no, he didn’t pack it onto drives and ship it via overnight express.)

Users like Binsteiner and others remarked on the fact that Globus Online has every hallmark that is increasingly making software-as-a-service models attractive for scientific users (ease of use, reduction of complexity so research remains unobstructed by IT-related hassles, avoidance of research delays via much slower file transfer mechanisms, etc.). 

According to a number of users I spoke with during the conference, including those from NERSC and elsewhere (as well as in the genomic sequencing context as discussed in our video interview with researcher Brigitte Raumann) this is quite revolutionary. Many of the scientists were using much slower data transfer mechanisms either via the Globus Toolkit or even via postal services that transferred vast data sets via packages. In both cases, there were some serious risks of data being lost in either mode of transport.

Steve Tuecke discussed a few of the challenges and benefits of Globus Online above, but there are some other topics he touched on that we should go back to for a moment.

While Tuecke provides a sound description of some of the evolutionary aspects of the grid to cloud transition (beyond the moniker matter) some of his more interesting points lie how he understands the benefits and drawbacks to cloud and grid computing models. If you happen to watch this all the way through you’ll get to the question about where cloud computing has succeeded commercially whereas grid didn’t have quite the same level of mass success.

His answer is worth repeating; although he says he hopes that much of the work on the grid side has allowed cloud computing and distributed computing in general to thrive, there was a convergence of some important elements that permitted clouds to take off. Among such  elements are, of course, the fundamental technologies that back both grids and clouds. Certainly, back in 1995 when the Internet was still in its early stages of evolution for commercial software purposes in particular, it would have been difficult to garner critical mass around something that was being used in scientific and academic circles and internally in some large enterprise organizations. Furthermore, thanks to the business models that Amazon helped to develop with pay-as-you-go access to what looks like unlimited resources, cloud computing was able to find a wide audience and user base under the umbrella (at least at first) of one key service provider.

One of the more compelling aspects of this convergence Tuecke describes is the “sociological” piece that really brought the software-as-a-service approach to the mainstream. He uses the example of Salesforce.com and its delivery of business-critical applications via a web service as the poster child but really, with the development of web-based applications from email to collaboration and social networks, this evolution has been a quiet, swift, but massive. People now are simply expecting that they should be able to have access to core business or research tools both on their local machines and in the cloud. This is evidenced by any number of “traditional” (meaning here installed locally) software companies scurrying about to make sure that they can fine-tune their delivery and licensing models to accommodate this newer but urgent need for application delivery options.

In general, by moving to the SaaS approach and new services and application delivery options the work behind Globus Online holds something else for Tuecke and the team—unlike the days with Globus Toolkit, this new service provides a chance for them to interact more with end users and base new developments on feedback and use cases. Whereas before with the Globus Toolkit, the team worked with what Tuecke describes as the “unsexy” infrastructure software that really couldn’t be demoed, the team can get a more hands-on feel for the capabilities and barriers with their development efforts.

And on a side note for any of you that are interested, Tuecke told me that he’s hiring. Seems like a pretty upbeat, pleasant and driven guy to work for and from my interactions during the conference, this describes the whole Globus team.
 

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!

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…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark 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…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire