Beowulf: Defined by Change, Empowering Individual Creativity

By Thomas Sterling

November 10, 2016

It was 23 years ago this November when a small NASA project, whimsically called “Beowulf,” was initiated to find a new way of achieving order of magnitude improvement in performance to cost. The goal was to provide a sustained performance greater than 1 Gigaflops on real applications for under $50,000, in order to allow single computational scientists access to dedicated data analysis resources. There were several opportunities, including reduction of contention for and reduced latency of mass storage of scientific data and its usage.

The Beowulf project, funded under the NASA HPCC ESS program and guided by the Goddard Space Flight Center, undertook this path after a year of exploring alternative methods available through commercial products. The idea of clusters was hardly new and extended back almost a decade. But the formula of hardware and software synthesized to develop low-cost scalable computing from consumer-grade COTS products was unique in its form and valuable in its accessibility, flexibility of configuration, low cost, and ultimately its empowerment of many contributors (within the US and internationally).

I did the math that demonstrated the opportunity and viable trajectory. And, yes, I named the project and then hired the team. Today, more than 80 percent of the systems of the Top500 list are commodity clusters, and more than 95 percent of all supercomputers on that list employ one or another variation of the Linux operating system, which we introduced to the HPC community through the Beowulf project. Every year there are student cluster competitions at the SC and international ISC conferences, as well as many others specific to different nations.

But back in 2002, I made a mistake. Beowulf clusters had become an effective means of low cost medium-scale computing in academia, industry, and national labs, such that vendors started repackaging nodes for rack-mounting, changing their new COTS computing nodes to better serve the computing markets. Networking evolved to serve commodity clusters as well. Beowulf-class systems no longer had to be assembled from the scrap heap of whatever was available — they could now be assembled from subsystems designed for the purpose of building Beowulf-class systems.

Indeed, system integrators such as Dell, Penguin, and others began shipping fully integrated commodity clusters to end-user data centers with software already installed. In an unthinking moment when talking with someone from the press, I quipped that “Beowulf is dead.” Of course this showed up in one or more journals (a lesson there, I think) and I was forced to respond to this article in a keynote address I was about to give at ISC in Heidelberg.

I explained that Beowulf was not dead but in chrysalis, transforming to a new class of user-driven clusters in partnership with vendors in synergy. But what I had not understood, even then, was that metamorphosis was part of Beowulf, not just one point of singularity. Beowulf is never the same, it keeps changing — and for the better. Today we see emerging an entirely new form of Beowulf with the same cultural and performance opportunities as the original generation two dozen years ago, but with entirely new capabilities for students, experimentalists, and OEMs.

A plethora of very inexpensive processing cards are now available from multiple sources and can be acquired for ridiculously little money and assembled with, if anything, greater flexibility than ever before. Examples include the Nvidia Jetson TK-1, the Raspberry PI-3, and the Digilent Zed Boards, all of which are small, single PCB with SOCs, including, but not limited to, multi-core ARM processors.

The Jetson includes the TEGRA K1 GPU; the Zed Board has a Zilinx Aynq SoC with FPGA. And the Raspberry PI-3 at $40 boasts a 64-bit ARM with Fast Ethernet, 1 GigaByte of DRAM, USB and HDMI interfaces, and other elements. These readily available components are firing up the imagination of many and expanding the role of Beowulf clusters from just number and data crunching to embedded parallel systems, and even robotics.

Once again, this Monday, November 14th starting at 9 pm, the Beowulf Bash will be thrown by gracious sponsors, this time at the Discovery Gateway Children’s Museum. There is no other event like it at SC, and I am sure that it will attract many new and younger attendees. But this is not just a party of older nostalgia-seeking gray-beards reminiscing about Don Becker’s cool Ethernet Driver software of the mid-90s or the other events that launched this new era. Rather, I expect it will be filled with people talking about Parallella, Raspberry, Jetson, and Zed, and how new thinkers are clustering these in a new generation of Beowulf clusters for innovative purposes.

I look forward to this year’s Beowulf Bash and hearing about what you are doing. I was wrong before. Beowulf will never die, and I hope the Bash lives on as well.

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…

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…

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…

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