asiGRID ‘Breathing New Life’ into Obsolete Machines

By By Derrick Harris, Editor

April 11, 2005

GRIDtoday recently spoke with Michael Andrescavage, chief software architect of Andrescavage Software Inc. (www.gridnow.com), about his namesake company and it's goal to ease Grid-enablement for organizations in all fields. The company recently announced its flagship solution, asiGRID, which is capable of controlling a heterogeneous configuration of computing resources.



GRIDtoday:
First, could you give me a background of yourself and your history in Grid computing?

MICHAEL ANDRESCAVAGE: My professional career spans almost 40 years of architecture, analysis, development and operation of information processing systems. My focus centers around large-scale distributed software architecture.

I have held Information Technology positions at Charles Schwab & Co. Inc., Computer Science Corp., FMC Corp., General Electric Aerospace (CIA, NSA, DEA, NASA, USA, USAF, NATO, ROK), General Accident Insurance, CIGNA Insurance and United States Air Force. Among the companies I have consulted with: Vanguard Investments, EDS, Exide and RCA.

My personal history in Grid computing starts in 1988. I was chief software architect for USAF's Space Based Experimental Version (SBEV) — StarWars project. SBEV would provide a capability to demonstrate and evaluate alternative architectures for an experimental version of a Strategic Defense Initiative (SDI) space-based Battle Management Command, Control, Communications (BM/C3) System. This was one of the first successful Grid computing implementations — long before the term acquired it's recent popularity.

The task was to build a software framework that would be deployed on a combination of 250 servers, desktops, single-board computers, five different networks, and operating under SunOs and vxWorks operating systems. Multiple demonstrations of alternative architectures would execute concurrently using all, or subsets, of these computing resources.

This successful implementation of a “Grid operating environment” led to a paper I presented at the 1991 International Conference on Parallel Processing: “FRAMEWORK — A general purpose, heterogeneous, distributed/concurrent/parallel processing architecture that provides the overall management, execution, and synchronization, of software processes distributed among networks of computing resources.”

My professional career led me away from Grid computing until 2002, when I started Andrescavage Software Inc. I would use lessons from the “FRAMEWORK” to build a software product that would be available for anyone who wanted to take advantage of Grid computing. It took two and a half years to build a prototype and BETA version of asiGRID — which was recently launched in February.

Gt: Can you give me a background of Andrescavage Inc.?

ANDRESCAVAGE: I started the venture in July 2002 to develop the core asiGRID software. Completed working prototype in July 2003. Completed asiGRID BETA in Jan 2005. Brought in key set of advisors in September 2004 to help formulate business plans. Currently working on establishing key partnerships.

Gt: You recently announced a new product, asiGRID. Can you tell me more about it, how it works, and what you believe makes it a better choice than other Grid solutions? Is asiGRID primarily for linking desktops or is it more server/data center-oriented? Are most platforms supported?

ANDRESCAVAGE: asiGRID is control software residing on each individual computing resource — within a collection of heterogeneous computing resources — on behalf of asiGRID-enabled application software. We refer to this “collection of heterogeneous computing resources” as an “Andrescavage Software Grid” (ASG).

Some properties of an ASG:

  • 1 to n (unlimited) number of heterogeneous computing resources, always connected, in a hierarchy for scalability.
  • First floor ASG, Lab 1 ASG, Human Resources ASG, Production ASG, Test ASG.
  • Computing resources are dynamic — they come and go.
  • Computing resources exist on intranet, extranet and Internet.
  • Operating system access on each computing resource.
  • Fault tolerant, dynamic routing.
  • ASG's are dynamically connected and disconnected to/from other ASGs.
  • asiGRID-enabled applications are distributed on an ASG.
  • Applications are dynamic — they come and go.
  • Pieces of an application are dynamic — they come and go.

How asiGRID works:

  • asiGRID is a command-processing software architecture — where all processing accomplished is the direct result of a command received.
  • Commands have a unique name and a list of name/value pairs.
  • asiGRID commands for ASG control.
  • User application commands.
  • User application developers write command-processing logic for a specific command.
  • User applications consist of all “application-ID unique” user command-processors distributed within an ASG.
  • asiGRID control software routes commands from source to target and routes feedback back to source.
  • Minimum number of asiGRID APIs(13) required for a user application to use all computing resources and features within an ASG.
  • Further information found in “asiGRID Concepts and Facilities.”

Why asiGRID is a better choice:

  • Dramatically simpler — command processing — minimum APIs.
  • Use existing machines — breathes new life into potentially obsolete or underpowered machines.
  • Start out creating ASGs for projects — connect project ASGs — eventually data center.
  • Substantially cheaper to implement.

A recent benchmark of an existing vendor's Monte Carlo simulation versus an asiGRID developed simulation show promising results:

  • Two programs were written in two days.
  • Tenfold increase in iterations.
  • Processing time reduced by 95 percent.

Registered Users at www.gridNOW.com can download a free, fully-functional, BETA version of asiGRID.

Gt: The list of supported OS's is impressive but there are some notable absentees. Do you have plans to increase the number of supported operating systems, and what are they?

ANDRESCAVAGE: The operating systems that we currently support (Microsoft, Linux, FreeBSD, Apple OSX) were chosen because of their market penetration and low-cost entry. It is our intent to port asiGRID to any/all hardware/operating systems that support TCP/IP.

Gt: Do you think asiGRID will receive its customer base more from the academic/research communities, or from enterprises?

ANDRESCAVAGE: We envision our platform being applicable to all sectors, but we anticipate third party software providers looking to enhance the computing power of their applications would be very interested in our offering. In addition, our product will be of great interest to mid-sized technology support and business R&D organizations looking to establish internal Grid infrastructures.

Gt: What vertical markets (e.g., oil and gas, financial services, automotive, etc.) do you think stand to benefit most from asiGRID and Grid computing in general?

ANDRESCAVAGE: Our product will be of benefit to firms with intensive computer processing needs. New, more powerful applications could be developed within the financial services, life sciences, energy, entertainment and data mining markets that will take advantage of our powerful, yet simple, Grid-enabled platform.

Gt: What kind of role do you think Grid computing can play in enterprises, and what are your feeling on the current push for enterprises to start adopting the technology?

ANDRESCAVAGE: Grid computing will become a necessity for enterprises, especially in the area of breathing new life into potentially obsolete or underpowered computers. How long will we be able to justify the cost of replacing existing machines with faster or better ones. As for the current push within enterprises, the sooner the better. The key is for the IT industry to provide simplifying, rather than complicating, solutions.

Gt: What role would you like to see your company play in the Grid arena, and what steps have been taken to further this goal?

ANDRESCAVAGE: We would like to provide the capability for organizations to quickly and efficiently implement Grid solutions. Currently, we are evaluating potential partnerships with software providers looking to Grid-enable their product suites.

Gt: Finally, I have two questions that I like to ask: 1) What does Grid computing mean to you/How would you define Grid computing; and 2) What have been the biggest changes with Grid since you became involved?

ANDRESCAVAGE: 1) The ability to use all the computing resources available, applied to all information processing systems. Eventually, all information processing systems are Grid-enabled.

2) The biggest changes I have seen are the large numbers of existing and new software vendors that are participating.

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