BLACKSTONE TECHNOLOGY GROUP SEES FUTURE IN COMPUTE FARMS

September 24, 1999

COMMERCIAL NEWS

Worcester, MA — Blackstone Technology Group, a new company focused on compute farms, asks this question: “What if all your computers could be connected together to act as one massive computing source that supplies more power per desktop than ever before, while also prioritizing workloads across departments?” How this question is answered at innovation-driven firms around the world will largely determine whether success is achieved in today’s ultra-competitive Internet-driven economy. Blackstone Technology Group envisions that its “Compute Farm” approach to computing can provide the desperately sought after compute power required for engineering success in the 21st century.

A compute farm is a pool of networked computers that are turbo-charged into a single source of massive compute power. Compute farms are created by applying enabling technology and enabling knowledge to achieve mainframe “Big Iron” benefits at a fraction of the cost. They provide scalable and uninterrupted compute power for executing jobs that are long-running as well as CPU and memory intensive. Unlike server farms used in e-commerce and web-hosting applications, which process a huge number of relatively short transactions, compute farms efficiently execute a smaller number of large jobs that run for extended time periods.

“Compute farms will be the computing platform for engineers in the 21st century,” says Blackstone president, Ron Ranauro. “Technical computing jobs can take hours, even days, to process. A compute farm takes a sequence of 20 one-hour jobs, for example, and, rather than running it on one CPU for 20 hours, spreads it over ten computers to complete the project in two hours. It does this using a good percentage of resources that would otherwise remain idle.” Ranauro adds, “Compute farms unleash an organization’s full computing potential. It is `all CPUs, all the time.'”

Why the New Computing Platform?

As chips increase in complexity, organizations set out to map the human genetic code, and software programs require testing on millions of lines of code, the sophisticated applications that make these developments possible are requiring massive amounts of compute power.

Historically, mainframes and supercomputers doled out this resource to engineers based on job priority. Later, organizations moved to the more scalable distributed computing environment with a big workstation on every desktop. However, big on the desktop is never big enough. Pressured to meet deadlines, engineers turn to colleagues’ computers with makeshift software for siphoning additional resources. A sort of compute power black-market ensues. As friction rises within the very groups that are enabling the frictionless economy, the need for an entirely new computing platform becomes ever more apparent.

Just as for the Internet a centralized web of computers now forms the basis for information access today, a similar pattern is beginning to take hold in technical computing. Like the way server farms act as a centralized hub for powering e-commerce, compute farms centralize a technical computing environment – without sacrificing the autonomy afforded by the desktop. Thus, engineers remain in control of their own design stations and project schedules. With access to more power, they usually find their work returned much faster than before.

Compute farms offer the best of both worlds: the autonomy and scalability of decentralized computing, with the administrative prowess of the mainframe. And unlike historical mainframe-based centralized computing, if any CPU fails, the whole system does not shut down.

“Sun is the leader in developing the concept of compute farms and pioneered the use of network-based farms to achieve significant leaps in productivity,” said Peter Denyer, EDA segment manager at Sun Microsystems. “The underlying complexity of the compute farm is hidden from the engineer who is freed to concentrate on design issues. With their unique ability to equip companies with a well-designed compute farm in short order, Blackstone is at the cusp of an exciting business opportunity.”

Blackstone estimates that the current market for compute farms, which roughly equals the replacement market for engineering workstations and departmental servers, is in excess of $1 billion in North America alone. Providing insight into this market, Ranauro explains, “the average computing budget for a two year old start-up electronics company is about $1 million annually. For established firms and departments of large companies, this budget hovers in the $5-10 million range. The New England market alone, which may comprise 10% of the North American electronics market for compute farms, is around $100 million.”

Industry leaders are already taking the plunge, and reaping the rewards. Companies like Celera Genomics, Chrysalis Symbolic Designs, Compaq Computer Corporation, IronBridge Networks, Lucent Technologies, Sun Microsystems, and Tundra Semiconductor have all incorporated compute farms in their engineering enterprises.

Compute Farm Enabling Technology and Knowledge

Scheduling software, called “load sharing,” is the enabling technology of a compute farm. Load sharing software keeps track of when demands rise and fall, and then prioritizes and schedules jobs accordingly. When demand subsides, during nights and weekends, low priority jobs that are queued will automatically be run, making more power available for the bursts in demand that occur often every day, and the peaks that strike at the ends of product cycles.

Compute farms also require enabling knowledge. To build a true compute farm, a comprehensive approach is needed that harmonizes diverse disciplines: industry-specific application knowledge, load sharing, product design data management, as well as system and network administration.

Blackstone Background

Blackstone Technology Group is an offshoot of the electronics design automation (EDA) consultancy, Blackstone-EDA. The eleven-person company, with a larger crew of independent consultants, began developing compute farms within the EDA industry using Platform Computing’s popular LSF (Load Sharing Facility) software. With established success in EDA and recognizing the absence of focused players, most supply only pieces of the solution, the company is setting out to become the premier compute farm provider.

The company works with many of the industry’s heaviest hitters, including Compaq Computer, Sun Microsystems, and Veritas Software. Platform Computing continues to supply the critical LSF component.

Blackstone delivers its expertise, proprietary monitoring software, and its systematic approach to designing and building compute farms in a new offering called ComputeFarm Advantage, which is also being announced today.

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

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!

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…

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…

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