Intel CTO Tells HPC Crowd to Get a Second Life

By Michael Feldman

November 17, 2009

The opening address of the Supercomputing Conference had a surreal quality to it in more ways than one. Between talking avatars, physics-simulated sound, and a Larrabee demo running HPC-type codes, it was hard to separate reality from fantasy.

On Tuesday morning, Intel CTO and HPC aficionado Justin Rattner presented his vision of the future of high performance computing to the SC09 crowd in attendance. Rattner’s thesis: the 3D Web will be the technology driver that revitalizes the HPC business model. More precisely, the combination of HPC and cloud computing will make the 3D Web possible, and, more important to Intel’s bottom line, ubiquitous. “There is nothing more important to the long-term health of the HPC industry than the 3D Web,” said Rattner.

Why does high performance computing need revitalizing? Citing HPC server revenue projections from InterSect 360, Rattner noted that the trend showed a modest compounded annual growth rate (CAGR) of 3.6 percent into the foreseeable feature. “This is not a healthy business,” he complained. Of course, 3.6 percent is pretty healthy growth for some sectors, but for high-flying Silicon Valley chip vendors, apparently not good enough.

Rattner’s answer to HPC server woes is the invention of the 3D Web, a cloud platform which encompasses real-time simulations, multi-view animation, and immersive virtual environments. The idea is that the computational horsepower needed to accomplish this requires high performance computing technology, but the application set extends far beyond traditional HPC. For example, consumer applications like advanced multiplayer online games and virtual communities could help to make the 3D Web a mainstream computing platform.

Industrial applications, like apparel design, would also be able to take advantage of these capabilities. Rattner brought on Shenlei Winkler, the CEO of the Fashion Research Institute, who noted that the $1.7 trillion apparel industry is barely computerized, relying mostly on sketches and physical sampling to design fashion products. She went on to explain how her organization uses OpenSim, an open source virtual world, to slash design time by 75 percent and sample costs by 65 percent. With a more sophisticated 3D Web capability, consumers themselves will be able to design and order clothes. What she didn’t mention was that the trillion-dollar fashion industry would most likely shrink dramatically if this level of sophistication was available to fashion designers and consumers, given that a lot of human labor would be replaced by software.

Rattner also talked with Utah State biology researcher Aaron Duffy, who has created a simulation of a fern ecosystem. The trick here was that Duffy conversed with Rattner as an avatar that was surrounded in his virtual fern forest. The platform he used was called ScienceSim, a virtual world designed as sort of a Second Life for scientists.

This is all first-generation technology. The avatars look cartoonish, and the interactions between them and their virtual environments are limited. The goal, of course, is to provide much more refined visualization and enable a lot greater complexity in these virtual worlds. At one point, Rattner demonstrated a high-res simulation of cloth draped being across a surface. Another simulation of running water included its own sound based solely on the physics of the model. The problem is that these were replays of simulations that took hours to produce on a small cluster. To get to an interactive 3D Web experience, real-time simulations are required.

While giving a nod to his company’s Nehalem chips and even the latest GPUs as evidence of how performance is forging ahead on general-purpose chips, the real point of this exercise was to show how Intel’s upcoming Larrabee processors might fit into this story. What Rattner presented was a system in which Larrabee is attached as an accelerator to act as the heavy-duty computational engine, presumably for 3D Web duty. This is essentially the same model AMD and NVIDIA are using for their GPGPUs, where the GPU and CPU converse via the PCI bus. Apparently though, Intel thinks it can do an end-around the PCI bus and have the CPU and Larrabee talk directly through a “shared virtual memory” to allow for seamless data sharing.

There’s no evidence that Intel has built such a system, but Rattner did apparently have a Larrabee chip on hand to put it through its paces. Running SGEMM, a general matrix multiply subroutine in the Basic Linear Algebra Subprograms (BLAS) library, Larrabee delivered about 800 gigaflops, and just over 1 teraflop when they overclocked it. Keep in mind though, SGEMM is the single precession floating point version of the general matrix multiplication routine. A more modest 8 gigaflops was delivered by Larrabee on a couple of sparse matrix codes (QCD and FEM_CANT).

Considering Larrabee was being positioned strictly for graphics/visualization apps, the scientific benchmarking demo and the whole idea of associating the technology with HPC is yet another example of Intel’s split personality when it comes to this chip. It’s possible that NVIDIA’s recent Fermi GPU rollout has caused Intel to rethink its Larrabee strategy. In any case, when the first Larrabee products are released into the wild next year, we’ll know the answer.

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!

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…

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…

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…

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…

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