Microsoft Aims Newest HPC Offering at Wall Street

By Dennis Barker

September 23, 2008

NEW YORK CITY — When profits drop, businesses look to boost productivity and performance — and nowhere is that demand more urgent right now than on Wall Street. Yesterday, about 60 blocks north of the scene of the recent financial meltdown, Microsoft announced it has released its latest product to provide that boost: Windows HPC Server 2008. The company says the new version will give firms in the financial services business a way to easily and cost-effectively deploy scalable high performance systems.

“Companies have to be more efficient than ever with IT resources, but they need to maintain their position in a competitive marketplace,” said Bill Laing, VP of Microsoft’s Windows Server and Solutions Division, during a speech at the HPC on Wall Street conference yesterday. Financial organizations are relying more and more on high performance systems for routine but critical operations such as real-time risk analysis, Laing said, but “they require HPC solutions that deploy quickly, integrate in a heterogeneous environment, and scale from workstation to cluster.”

Built on 64-bit Windows Server, the new platform essentially puts the Windows interface on top of high-speed compute clusters. “We’re providing supercomputing to the desktop guys, the financial analysts and the ones developing models — the guys doing real-time market calculations,” said Vince Mendillo, director of Microsoft’s Server & Tools Business Group, during a briefing. “Our goal is to accelerate the time to insight.”

Microsoft worked with dozens of companies in the financial industry to get their feedback to the server system, Laing said. One such company is Lloyds TSB, one of the largest banking groups in the UK. The IT director at Lloyds TSB Corporate Markets group in London, Ricky Higgins, reported that his team was able to stand up a new 64-node cluster in a very short time. “From bare hardware to first job submitted took barely overnight,” he said. “Due to market turmoil, we need to process data much more quickly than ever before.” Higgins said processing time has been cut by about 50 percent. “We’ve been able to greatly increase the number of transactions,” he said.

To speed up processing of financial workloads, Microsoft made a series of major changes to HPC Server. Instead of using Remote Installation Service to set up a cluster, HPC Server uses Windows Deployment Service, which the company says makes scaling much faster because it uses image multicasting to deploy nodes in parallel, but it’s also easier because a wizard system guides administrators through node configuration. A “to-do list” page walks the admin through the steps needed to configure a cluster, such as defining the network topology and setting up automatic deployment.

In fact, Microsoft lists simplified administration as one of the key benefits of the new platform. “Our goal was to provide efficient, scalable management tools for setting up and deploying a cluster. Reporting capabilities are very easy to use,” Mendillo said. Along with reporting, monitoring and diagnostic tools are all built into the new management console. A good example is the Heat Map, which gives an at-a-glance look at the health of the cluster.

Remote Direct Memory Access enables process-to-process communications, so “there’s very low latency when sending a process from one machine to another,” said Mendillo. Processes can write directly to the address space in another machine. The new job scheduler has been upgraded to work better with large clusters, handle more simultaneous chores, and be used in service-oriented applications, he said. The software now follows the Open Grid Forum’s HPC Basic Profile interface for interoperability with other schedulers.

Reliability is strengthened with advanced failover capabilities. “Redundancy on head nodes guarantees that the cluster will keep running, and job scheduler clients won’t see any change in the head node during the failover process,” explained Mendillo.

Microsoft has been working with independent software developers to build scalable applications for risk analysis, modeling trading, and other financial operations, as well as compilers, debuggers, performance optimizers, libraries, and other essential tools. Through integration with Visual Studio 2008, with its parallel programming environment, the new platform makes it easier to build software that takes advantage of distributed processing power, explained Medillo.

It’s not as if HPC is new in the financial district. Like Geno Valente, a VP for database analytics device developer XtremeData, said during a session yesterday, “Most people on Wall Street have some kind of HPC in the back room.”

But that system out back is often a Linux cluster. If Microsoft can’t replace that, it’ll work with it. “Interoperability with Linux systems, mixed cluster support, are essential,” Mendillo stated. “All the major file system vendors are supporting us, and our management package will allow administrators to manage Windows and Linux systems from a single console.”

Although its focus at this time of accelerated jitters is on the financial services segment, Microsoft is looking to bring high performance clusters to other industries with HPC Server. “We’re making high-end computing affordable, increasing productivity, and making it easier for companies to scale up to meet demand,” Laing said. “HPC Server will bring high performance to a much wider audience. It will eventually make it mainstream.”

You can download an evaluation copy at www.microsoft.com/hpc. Price of ownership is $475 per node.

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!

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…

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 are available off the shelf, a concern raised at many recent 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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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