Grid a Safe Bet for Hedge Funds

By By Derrick Harris, Editor

June 11, 2007

In a business filled with complex trades and, often times, a high-risk, high-reward manner of doing business, the one place a hedge fund cannot afford to take risks is with the computing platform that supports its trading business. And after being pushed to the limits by legacy systems, it looks like more and more hedge funds are addressing this issue with grid computing.

With its homegrown distributed computing system being pushed to the limit by increasingly complex trades and a move into the credit derivatives space, III Offshore Advisors (III) is one fund for whom this rings true.

Tired of sending jobs to servers in the minimally managed server farm and “just kind of hoping it worked,” III CTO Paul Algreen set out to find a grid solution that fit what his fund was looking to do. After taking looks at a few options — both open source and proprietary — Algreen and his team found most to be either too big of projects, too expensive or, in the case of the open source Alchemi middleware, not adequately supported or developed. However, after engaging Digipede on the advice of an acquaintance in the hedge fund business who had dealt with similar issues, III found its solution.

Chosen by III for its ease-of-use, as well as for its relatively low cost (substantially less than the six-figure-per-year costs of some competitors), Algreen describes the Digipede Network as “almost elegant” in its simplicity. In fact, he noted, while developers struggled to get other solutions up and running after two weeks working on them, Algreen himself (an admittedly mediocre programmer) had the Digipede solution working in less than a day. When the fund's full-time developers had at it, the Digipede-enabled platform was running robustly in short order. This was an ideal situation because, as Algreen says, “We don't need a lot of fancy management, we don't need a lot of fancy failover. We just need to run a lot of risk.”

Since implementing its grid in February, III has stuck with its concept of simplicity, only using the grid for a subsection — mainly complex stuff — of its overall risk analyses. One area where it has been particularly beneficial, said Algreen, is in speeding the analysis of certain everyday core scenarios that were pushing deadline limits, thus enabling deeper look into the trades. “The traders and analysts love it,” he says, “because now they can go out and define 'What happens to my portfolio if this happens?' whereas before we were just hoping we'd get through 'What's my core risk?' “

Looking forward, though, III and its parent company, AVM LP, are considering more advanced uses of the grid technology, including commoditizing it and offering it as a service to customers. Some of AVM's customers, said Algreen, have been asking for risk analysis services, and a grid-powered portal would allow them to run risk scenarios on their own. Of course, the bottom line always is a consideration and, on top of expanding the services available to customers, Algreen believes this portal could be a nice source of revenue.

For its part, Digipede counts III as just another among its growing list of hedge fund customers. Having signed up a few more customers in this market within the last couple of months alone, Digipede President and CEO John Powers credits the ease-of-implementation of his company's product with a lot of its success. “There are very few hedge funds that have any sort of grid in place,” he said, “and now they're finding that it's quite straightforward to do with our software.”

According to Powers, Digipede is seeing customers adapt their applications to the grid by changing only 20-30 lines of code, which was the case with III, and getting applications online more quickly means seeing results faster. In fact, said Powers, after seeing how easy it can be to get results from a grid platform, a couple of recent hedge fund customers have come back to purchase more agents, or licensed nodes, within a few months of putting their grids into production.

Based on this recent success with hedge funds, and in the financial services market in general, Digipede expects to gain even more traction as it aligns with more partners and unrolls new capabilities in upcoming software releases. As Powers sees it, “It's basically an arms race among the traders right now to be able to build stuff that enables them to price more accurately and identify trading opportunities faster than their competitors.”

With this metric in mind, III's Algreen says that making the move to a grid platform is paying big dividends. It is very important, he says, for a hedge fund to remain in balance and to be able to maintain its hedges and fully understand its risks. Additionally, he explained, although III is a pretty big player in its space, it is a relatively small company, and problems with systems not being able to quantify risks affect everybody — not just the IT staff.

“Any time that the [quantitative analysts] and traders spend troubleshooting system errors or troubleshooting risk or helping us to optimize risk is time very poorly spent,” said Algreen, adding that their time is much better spent coming up with trade ideas, conducting research and, essentially, figuring out ways to generate more money. When they're allowed to focus on these activities, as Algreen says they have been since deploying the grid, the return on investment can be astronomical. In fact, he said, freeing up the time of the traders and analysts probably has resulted in “countless” trade opportunities that helped pay for III's Digipede installation in the first couple of days.

Said Algreen: “It has definitely already paid for itself.”

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…

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…

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…

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