COMPUTER GRID WOULD REDUCE NEED TO BUY SOFTWARE

January 5, 2001

SCIENCE & ENGINEERING NEWS

West Lafayette, IND. — A system at Purdue University could help create a worldwide “computational grid” in which individual users no longer have to purchase software but are able to run programs remotely over the Internet.

The system is called the Purdue University Network Computing Hubs, or PUNCH, a network computer that provides access to programs from 16 universities, four research centers and six companies.

“We had a million hits the first half of this year, and we don’t advertise,” said Mark Lundstrom, a professor of electrical and computer engineering.

PUNCH is now primarily used by engineers who require highly specialized software for research and teaching. The software is not commercially available and is difficult to use and install. PUNCH not only makes the software accessible to the entire research community, it automatically enables computer users to run the software via their own computers through the World Wide Web.

“The software does not actually run on the users’ computers, it runs on a server somewhere,” said Nirav Kapadia, a senior research scientist responsible for developing the underlying software that makes PUNCH possible. “It enables whatever you are running on your server to interface with a distant computer.”

The system has saved money for engineering students by eliminating the need to buy expensive software for certain courses.

“PUNCH is essentially a system that enables users throughout the country and the world to access our computer-based tools, and more importantly, to actually run them through their own computers,” said Jose Fortes, a professor of electrical and computer engineering who worked with Kapadia to develop the system.

Although PUNCH is now dominated by engineering applications, in principle it could be used for a much broader range of software, including programs used for business and industry. Companies with offices in different states or countries would benefit from using such a hub to share expensive software.

“In the long run, I think a grid should serve all computing needs,” Kapadia said. “For now, the research community provides a nice user base to test the ideas behind the grid. I see PUNCH as a prototype of a grid; its purpose is to allow us to learn what needs to go into building a large-scale infrastructure of this type. Personally, I would love to see PUNCH evolve into a commercial computational grid.”

However, developing a commercial grid would pose challenges. “The software vendors are going to have to sort out how to license and charge for this service because the implication is that people would not have to buy software,” Lundstrom said.

The grid concept has recently been attracting more interest from corporate America. “This has suddenly, within the last year or so, become a very hot field,” Lundstrom said. “Companies called application service providers are beginning to jump into this. The advantage that we have is that we’ve been doing it for five years now. We’ve learned what it takes to make it work.”

An important feature of the system is that it can automatically find resources, anywhere in the nation, that users need to do their work.

“If you are running a high-level simulation and it requires a super computer, it can look around for a super computer that isn’t being used at the time, or one that is being least used, and send the job there,” Lundstrom said. “If you run a smaller job, it can recognize that it can go to a smaller machine somewhere else. It can manage all of this, like the electric power grid. Your electricity comes from someplace where there is excess capacity, and it is routed across the country. In the same way, there are a lot of excess computing cycles that just aren’t used that could be used somewhere else.”

PUNCH contains various “hubs” for different engineering interests, and each hub connects users to the programs they need for their work. For example, Purdue engineers have most recently created a nanotechnology simulation hub, or nanoHub, which provides programs for designing extremely small transistors and other components measured in nanometers, or billionths of a meter.

“We are trying to convert computing into a service infrastructure,” said Kapadia, who began developing the system to help Lundstrom solve a research dilemma.

“I had some high-level simulation tool that I wanted to share with my colleague in another state,” Lundstrom said. “He wanted to hire a post-doctoral fellow to install this and to learn how to run it.”

Within a half-hour Kapadia had the complicated simulation program on the Web. “I called this fellow back in New York and said, ‘You don’t need to acquire the software, just log onto this address and run it,’ and he was doing that in the afternoon,” Lundstrom said. “Within a couple of months we had written a paper together. It probably would have taken him a year to have gotten the software, converted it to his machine, and learned how to run it himself.”

Kapadia and other members of the PUNCH team presented details about the system in November during an international computer conference, SC2000, sponsored by the Computer Society of the Institute of Electrical and Electronics Engineers.

Lundstrom has developed a simulation tool for designing transistors only a few atoms wide, and in December he made the tool available to the research community via the nanoHub. The simulation tool has yielded information demonstrating the benefits of a new type of transistor. Purdue researchers say they know of only two other teams in the world that have created such a simulation tool. But those programs are not accessible to the research community at large.

“We are going to make this available to anyone,” Lundstrom said.

============================================================

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!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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…

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…

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…

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…

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…

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…

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