Texas Advanced Computing Center
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report
HPCwire Japan

Tabor Communications
Corporate Video

Intel CTO Tells HPC Crowd to Get a Second Life


Rattner Talks Up 3D Web, Demos Larrabee


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.

June 19, 2013

June 18, 2013

June 17, 2013

June 14, 2013

June 13, 2013

June 12, 2013

June 11, 2013

June 10, 2013

June 07, 2013


Most Read Features

Most Read Around the Web

Most Read This Just In


Short Takes

Developers Tout GPI Model for Exascale Computing

Jun 19, 2013 | Supercomputer architectures have evolved considerably over the last 20 years, particularly in the number of processors that are linked together. One aspect of HPC architecture that hasn't changed is the MPI programming model.
Read more...

Supercomputers: Not Always the Best for Big Data

Jun 18, 2013 | The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Read more...

Gordon Flashes Its Versatility in HPC Workloads

Jun 18, 2013 | Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Read more...

Supercomputers: Still the King of the HPC Hill

Jun 17, 2013 | The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Read more...

TACC Longhorn Takes On Natural Language Processing

Jun 14, 2013 | For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

HPCwire Live! Atlanta's Big Data Kick Off Week Meets HPC

Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?

Webinar: Mellanox Virtual Modular Switch, the Most Efficient 40GbE Aggregation Switch Solution

Join our webinar to learn how IT managers can migrate to a more resilient, flexible and scalable solution that grows with the data center. Mellanox VMS is future-proof, efficient and brings significant CAPEX and OPEX savings. The VMS is available today.

Atlanta's Big Data Kick Off Week Meets HPC Cray Xyratex

HPC Job Bank


Featured Events






  • November 17, 2013 - November 22, 2013
    SC'13
    Denver, CO
    United States


HPCwire Events