PathScale Rises from SiCortex’s Ashes

By Michael Feldman

August 31, 2009

Late last week Cray announced it had acquired assets of PathScale’s compiler technology from defunct HPC cluster maker SiCortex. The assets include high-performance 64-bit C, C++ and Fortran compilers and related tools for Linux-based targets. Terms of the deal were not disclosed.

Although Cray now owns the intellectual property, compiler specialist Netsyncro.com Inc. will get the exclusive license to develop the PathScale compiler suite going forward. Netsyncro.com, a company that incorporated in 2008, builds open source-based commercial development solutions, such as performance-optimized Java compilers. According to company CTO Christopher Bergström, a number of veteran PathScale engineers have been brought in-house and are now a part of a team that represents over 60 man-years of experience. PathScale founder Fred Chow, who is the engineering director for the revived company, will lead the development group.

With the new focus, the company will change its name to PathScale to match the compiler brand. Perhaps more significantly, PathScale will also be returning to its open source roots. The original technology, which was developed under the guidance of Chow, was derived from Open64, an open source compiler that traces its origins back to the SGI Pro64 Compiler. Under the new regime, PathScale will be placing large parts of the compiler suite’s code base into open source.

In exchange for restarting the PathScale technology, Cray gets support for the compiler as well as the option to leverage the technology for its own product set. Currently, the PathScale compiler is employed by some of Cray’s customers on its Opteron-based XT supercomputer line. The supercomputer maker actually is doing a couple of worthwhile things here. First, Cray is taking care of its own users, even though the PathScale technology has a somewhat limited customer base right now. (PGI is the primary compiler used on XT systems today.) More importantly, though, Cray is helping the larger HPC community by keeping the PathScale technology alive.

For the past couple of years, there have been only two compiler vendors supporting mainstream, x86-based HPC: PGI and Intel. Prior to that, PathScale was an independent vendor selling HPC compilers into the market. But in 2006, QLogic purchased PathScale, mainly to get access to its InfiniBand technology. In 2007, cluster startup SiCortex bought the PathScale compiler assets from QLogic in order to develop a full-featured compiler solution for the company’s MIPS processor-based machines.

Free of SiCortex, the PathScale compiler will once again target mainstream high performance computing. PathScale’s existing EKO compiler for the AMD Opteron has been in use since 2004 and is well regarded in the HPC community, especially in government and research labs. Now that the focus on MIPS is history, the in-house engineering team will shift its resources back to supporting commodity platforms. “Our target focus is definitely going to be HPC-x86,” says Bergström.

Presumably, the company will also provide support for the latest Intel Xeon platforms, but Bergström says that ultimately they would provide what their customers ask for. Further out, they’re planning to increase optimization for OpenMP and build more performance and profiling tools around that technology.

When asked about GPU support in the compiler, Bergström appeared non-committal. He thinks PGI’s recent push into GPU compilation may distract them from their core focus on CPU performance. To him, the hard part is not generating the GPU code, but deciding which pieces of the application are worthwhile porting to the GPU. Right now, defining the areas of code to be offloaded from the CPU is being done via pragmas, inserted into the code by developers. “Someone has to come up with an efficient way to identify those areas,” says Bergström.

OS-wise, PathScale is committed to Linux for the foreseeable future. Although Window-based HPC is picking up vendor support — even at Cray in the CX1 platform — it doesn’t appear likely that a Windows target for PathScale in the offing. Bergström says the open source nature of the business model makes it a bad fit for the proprietary Windows platform. “There are a few companies that have Windows ports based off of Open64, but they’re violating the GPL [GNU General Public License] and not releasing the source,” he says.

The big question though is if PathScale 2.0, using an open source model, will be able to compete with the likes of Intel and PGI. Obviously Bergström thinks so. According to him, being able to tap into a broader community of developers is going to offer some real advantages to their business, including the ability to provide more fine-grained support. From the customer’s point of view, a small research project that needs an extra 5 percent performance from their application has a better chance to find help in the open source community than it probably would from a vendor. “When you have a thousand people all working on these little improvements, that will help us a lot more than trying to fund 20-40 engineers of our own,” he predicts.

Bergström intends to be proactive about building the open source developer community by recruiting compiler researchers in the academic world and by mentoring customers. It’s a model that has worked exceedingly well for other HPC code bases like Linux and Lustre. It has also turned out to be the preferred model for application developers who want to avoid the total responsibility of in-house development and the dependency of proprietary software.

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!

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…

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…

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…

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…

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…

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