ISV Takes Road Less Traveled with Grid, On-Demand Solutions

By By Derrick Harris, Editor

October 30, 2006

Among the reasons often cited for enterprises not adopting Grid computing is a lack of Grid-enabled applications coming from the ISV community. However, this is not the case with Callidus, whose TrueComp software has for years been providing a Grid-enabled application to companies requiring the utmost performance from their Enterprise Incentive Management (EIM) solution.

For those not familiar with EIM, Callidus president and CEO Robert Youngjohns describes the business problem his company is trying to tackle as one where companies are spending huge amounts of money on incentive compensation — to both internal payees and external distribution channels — but rarely have tools that allow them to both make sure payments are accurate and understand the ROI (and other metrics) of these expenditures.

Just how “huge” are the amounts of money being spent? Youngjohns said many Callidus customers have incentive payments as their second biggest line items (after payroll), and he cites a telco customer and an insurance customer who are spending around $3 billion and $ 2 billion per year, respectively, on it. Yet, even with the financial significance of this area, Callidus isn't facing too much competition.

“It's sort of an oddity to us that more software hasn't been thrown at this problem,” Youngjohns said. “If you were spending that amount of money in any other aspect … you'd expect to have a very significant investment in tools to understand what the ROI was.” However, this wasn't the case, he added, so Callidus stepped in.

Callidus sees a lot of business from telcos and insurance companies, who often spend between 10 to 15 percent of their revenues of incentive compensation, but has clients in other areas, as well.

As for the TrueComp solution, it does what you might expect in the first layer, meaning automating the payment process to ease that aspect of doing business. It's when you dig a little deeper, though, where Youngjohns believes the application really gets interesting. Once all the data is generated, he said, users have a huge scope of options in terms of analytics — they can look at everything from which incentive plans worked best to the relationships between payment and performance. This where Grid computing comes in, as large insurance companies might have 200,000 payees, with millions of transactions going through each week — all of which are processed through hundreds of compensation rules. As one might expect, this creates a rather compute- intensive situation.

Customers usually run this “pipeline” tool, as Youngjohns calls it, a few times per week, and TrueComp allows them to add elements to the grid as necessary, creating scalability on demand. “The way we've got it is very classic Grid architecture,” he said. “We create a work element, we pass that work element to the grid processing element, it goes away and processes it asynchronously, and when it's ready it signals a result back into the main server.” He noted, however, that even though the software was designed to run in a “classic” Grid environment, customers have experimented, with some physically partitioning large machines into separate grid elements.

But Callidus didn't stop with just offering Grid functionality into TrueComp – – it wanted to go one step further. Youngjohns sees an “on-demand” transition going on in IT right now, with end-users craving pricing models that reflect real usage, not huge upfront payments. In addition, he said, there are a lot companies that simply don't have the IT bandwidth to handle the various applications and infrastructure needs that exist. To meet this demand, Callidus decided to offer its EIM solution on demand on the Sun Grid, which Youngjohns helped develop before leaving Sun Microsystems for Callidus. TrueComp was already an ideal fit for transition to Sun's environment — a rewrite wasn't even necessary — and the solution went live in March.

One early customer of Callidus On-Demand was Business Process Management (BPM) provider Hyperion, who possessed the key trait Youngjohns sees in on-demand customers: “IT simply doesn't have the bandwidth to get it done, but the business needs it.”

According to Hyperion CIO Dean Drougas, this definitely was the case. “I looked around at the priorities in my organization and where I was going to spend my precious capital dollars,” he said, “and we made a decision after talking to Callidus that we wanted to be one of the first to go for it with their on- demand solution.” He added that on-demand is a perfect because while EIM is a key part of Hyperion's infrastructure — it is, after all, how they pay commissioned employees — it is not a core competency in which he would want to invest his scarce resources.

Drougas also commented that although Hyperion did not previously utilize the Grid capabilities of it's in-house Callidus implementation, he has been very impressed with results since transitioning to Callidus On-Demand. Not only has he noticed a huge increase in throughout when running the pipeline application, but he also has heard from others on his staff that “This thing runs like it's never run before.”

What's more, Drougas said, he is able to take advantage of both the Callidus solution and the Sun Grid without investing time or money in learning the inner workings of the software or running a Grid infrastructure. And While Hyperion won't likely be moving it's core applications to an on-demand approach, he said he would love to move more satellite applications there.

“My first choice for many things would be on-demand,” Drougas said. “I'm a fan of on-demand, I think it makes sense.”

Of course, noted Callidus' Youngjohns, Hyperion isn't alone in its skepticism about moving core applications to on-demand, hosted environments, so Callidus TrueComp is still available in the traditional model, as well. And for those who want to utilize its Grid functionalities, they need not worry about being gouged when it comes to pricing. Youngjohns said TrueComp's pricing is a “per payee” model, with no added fees for the number of CPUs or processors running the software. He believes the number of CPUs running the application is a technology issue, not a licensing issue, and he learned the pitfalls of such a model during his time at Sun.

Youngjohns said Callidus has seen a lot of traction for Callidus On-Demand, though, and he expects to see more as IT bandwidth constraints continue to grow. “People would like to believe [the transition to on-demand is] driven by philosophical requirements or religious requirements, but it's not. It's driven by that simple, pragmatic issue.”

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