Spring Brings Bloom of New Offerings

By Michael Feldman

April 4, 2008

HPC vendors seem to have awakened from their winter slumber. A trio of notable products were released into the spring sunshine this week: the first QDR (40 Gbps) InfiniBand adapter from Mellanox; an on-demand HPC development platform from Interactive Supercomputing; and, from newcomer ScaleMP, a flash module that aggregates x86 servers into a virtual SMP.

QDR Adapters First, Switches to Follow

Mellanox introduced its new QDR InfiniBand host channel adapters on Tuesday. The dual port ConnectX IB 40Gbps HCAs demand PCI Express 2.0 (PCIe Gen2) to take advantage of the increased bandwidth that comes with QDR. Mellanox is claiming 6460 MB/s (bi-directional) MPI application bandwidth and sub-microsecond latencies. Higher level protocols would get a speed bump as well. Using IP over InfiniBand (IPoIB), Mellanox expects to deliver close to 4000 MB/s for socket-based communications. For those keeping score at home, the max rate for 10GbE is 1200 MB/s.

“We really see that it’s important to match the bandwidth to the processor and the memory subsystem from an I/O perspective, especially for high performance computing,” said Thad Omura, VP of product marketing at Mellanox.

That’s InfiniBand in a nutshell. And it helps explain why HPC users have been the most enthusiastic adopters of the technology. As communication performance external to the motherboard becomes more of a bottleneck, InfiniBand looks better and better.

Adapters that support both InfiniBand native connectors and QSFP are available now. Native InfiniBand connectors will run up to 5 meters over passive (copper) cables. The IBTA has recently approved the standard to run QDR InfiniBand over QSFP (Quad Small Form-factor Pluggable), a connector that provides better signaling and allows for either passive copper, active copper or active optical fiber. Mellanox is thinking that QSFP will increasingly become the interface of choice for 40 Gbps InfiniBand, especially as volume ramps up.

By making their HCAs available now, Mellanox is trying to get out in front of the QDR adoption cycle. Customers can start qualifying the adapters (using node-to-node configurations) with existing applications before the switches and active cabling solutions become available. Mellanox is hoping that getting the adapters out early will grease the wheels for the switches and cable gear. “It’s not a small feat to move the market to 40 Gbps,” Omura told me. “This is something we’re doing to accelerate the transition.”

Mellanox has dual motivations here, since it also produces the QDR InfiniBand switch silicon for vendors like Cisco and Voltaire. Mellanox is expecting high density QDR switches to show up in the second half of 2008. Active copper and optical cables that can support the 40 Gbps data rates are also expected to become generally available in the same timeframe. Vendors like of Gore, Zarlink, Intel, Luxtera and others have been talking up their high bandwidth cabling solutions for over a year now.

Mellanox appears to be on a roll right now. With yearly revenue growth of 73 percent ($48.5 million in 2006 and $84.1 million in 2007), the interconnect vendor is on track to ride an aggressive QDR ramp up. IDC recently upped its InfiniBand forecast numbers due to quicker than expected adoption of DDR gear in 2007. With the introduction of QDR InfiniBand on top of a rapidly maturing software stack, Mellanox expects the technology to get a quick ride to the top. The first big QDR InfiniBand systems should show up on the TOP500 list in November. By 2010, QDR should become the dominant InfiniBand speed, overtaking both SDR and DDR deployments.

Supercomputing in the Cloud

The promise of user-friendly HPC as-a-service got a bit closer this week with a new computing on-demand offering from Interactive Supercomputing (ISC). The company announced a version of their Star-P software platform that can be accessed via the Internet. Up until now, Star-P, which allows users to easily parallelize MATLAB and Python codes, required that you owned your own supercomputer or at least knew someone who did. With the Star-P On-Demand offering, you’re now able to log on to a remote cluster and run your supercomputerized codes on a pay-per-use basis.

The company is offering this service in conjunction with their new partner Tsunamic Technologies, a Florida-based firm that provides the underlying cluster computing service. The hardware setup is a 256-core system using 2.33 MHz Intel quad-core processors on dual-socket nodes, with 8 GB of memory per node. A user can request up to 168 cores for a single Star-P job.

The process is pretty straightforward. Users with desktop MATLAB and Python applications download the free Star-P client software. Through the client, the user runs MATLAB or Python code, instrumented with Star-P commands to parallelize the application. Behind the scenes the client uses a secure shell (ssh) to talk to the remote cluster and generates MPI code on the fly to distribute the application.

While IBM, Sun, HP and others are already offering on-demand supercomputing, users typically have to come with their own MPI codes to get any benefit. Sun’s Network.com has attracted a number of ISVs to host their specific applications on top of their utility computing network, but Interactive Supercomputing is offering the first general-purpose HPC service. The on-demand service is really an extension of what ISC has been trying to do all along — remove the barriers to supercomputing for domain experts who know little about HPC programming

The company’s existing customers — mostly government labs and universities, financial services firms and life sciences organizations — already own HPC infrastructure, so on-demand is less of a draw here. Financial applications, in particular, are not a good fit for this model because of the sensitivity of the data. (However algorithm development in this area could be done remotely.) Non-sensitive applications in pharmaceuticals, government, manufacturing and other industries would be good candidates for the on-demand model. It’s especially useful to small- or medium-sized organizations whose computing demands are in peaks and valleys and who have little incentive to maintain complex computing infrastructure. Up until now, these kinds of customers have had little access to supercomputing.

Potential Star-P on-demand users are able to kick the tires with a 20 hour trial account. After that, they can purchase the service for $2.77 per core-hour. If customers are going to use the service regularly, they can purchase monthly packages of core-hours in various sized bundles at discount pricing — as low as $1.35 per core hour. They can also buy hours in bulk over longer periods of time. ISC’s business arrangement with Tsunamic is set up so that the more Star-P hours are used, the more ISC is compensated on a percentage a basis.

According to David Gibson, ISC’s vice president of sales, at the $2.77 flat rate most of the fee is going to Tsunamic; as the user buys larger bundles of hours, the money gets split more evenly. The tricky part for ISC was finding the right business model and hooking up with a computing service partner who would be flexible enough to work with a smaller software vendor. “The utility computing hardware providers have been challenged because they’re having a hard time getting commercial software vendors who have legacy business models around license sales to get in this game,” noted Gibson.

SMPs on the Cheap

This week, newcomer ScaleMP Inc. announced a novel technology that is able to aggregate commodity x86 server motherboards into a high-end SMP (symmetric multiprocessor system) machine. Actually ScaleMP is not that new. The company has been around since 2003 and its technology has been incorporated into a number of obscure platforms offered by vendors such as Dell, SGI and others regional resellers. For the past five years, ScaleMP has been in extended stealth mode, while it has been busy promoting its solution to system integrators and OEMs.

The heart of the technology is the vSMP flash software module that plugs into commodity x86 server boards. The module acts as a BIOS extension that aggregates all processors and memory into a virtual shared-memory SMP system. In conventional SMP machines, proprietary chipsets and interconnects are used. That’s why you pay a premium for such systems. The upside is that they’re easier to program and manage because the global memory model is more comfortable for the operating system and application software. At the same time, legacy MPI codes have no trouble running in a shared memory environment. Commodity-based SMP machines would have the best of all worlds.

The tricky part in turning what are essentially clusters into SMPs is maintaining reasonable memory performance from the relatively slow InfiniBand connection used to connect the server boards. That’s where the vSMP software comes in. It maintains cache coherency between boards and uses local memory for caching. It’s based on a cache-only memory architecture (COMA). In COMA, a remote memory access causes the data to be moved to memory that’s local to that processor. This allows the system to get around the relatively slow communication between motherboards by using local DRAM as a very large cache. Unlike the NUMA model where the application follows the data, in COMA, the data follows the application. Typically COMA is accomplished in hardware; in the ScaleMP implementation, memory migration and management is performed by software on the vSMP modules.

That’s only part of the story. “The advantage of software is that we have 15 caching coherency mechanisms,” said Shai Fultheim, founder and CEO of ScaleMP. According to him, these mechanisms take advantage of memory access patterns at runtime, which results in more intelligent caching than could be realized with a static hardware-based approach.

The other advantage of the architecture is that it allows system builders to construct machines that decouple memory capacity from compute capacity by mixing motherboards. Some applications want relatively more compute power or more memory capacity than is possible in a cluster of homogeneous nodes. For example, a system to run electronic design automation (EDA) code would like lots of memory, but relatively less compute power. So one could hook together a lot of slow single-core, single-processor boards (but with fully populated memory) with one or two quad-core boards.

The ScaleMP technology comes in two flavors: the embedded solution for large-scale systems that can aggregate up to 128 cores and 1 terabyte of memory, and the standalone solution that hooks together two quad- or dual-core dual-socket boards to create a four-socket SMP for under $10,000. The embedded solution has been in production for a year and half and is currently available in systems sold by SGI and Dell. The standalone system was the one unveiled this week and is aimed at the entry-level HPC market. ScaleMP claims a 70 percent price/performance advantage compared to traditional four-socket systems, in addition to 25 percent power consumption savings and 50 percent rack-space savings.

It will be interesting to see if the other HPC system vendors pick up the technology. In particular, companies like HP and IBM, which offer high-end shared memory systems in their Itanium- and POWER-based product lines, respectively, might see commodity SMP as a threat. The fact that SGI is selling the vSMP-enabled f1200 system alongside their shared memory Itanium-based Altix machines is probably an indication that there’s some daylight between that the two technologies — or at least SGI thinks so.

There are just a handful of machines with vMP technology deployed in the field. If you have one, I’d love to hear from you.


As always, comments about HPCwire are welcomed and encouraged. Write to me, Michael Feldman, at [email protected].

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Supercomputer Research Reveals Star Cluster Born Outside Our Galaxy

July 11, 2020

The Milky Way is our galactic home, containing our solar system and continuing into a giant band of densely packed stars that stretches across clear night skies around the world – but, it turns out, not all of those st Read more…

By Oliver Peckham

Max Planck Society Begins Installation of Liquid-Cooled Supercomputer from Lenovo

July 9, 2020

Lenovo announced today that it is supplying a new high performance computer to the Max Planck Society, one of Germany's premier research organizations. Comprised of Intel Xeon processors and Nvidia A100 GPUs, and featuri Read more…

By Tiffany Trader

Xilinx Announces First Adaptive Computing Challenge

July 9, 2020

A new contest is challenging the computing world. Xilinx has announced the first Xilinx Adaptive Computing Challenge, a competition that will task developers and startups with finding creative workload acceleration solutions. Xilinx is running the Adaptive Computing Challenge in partnership with Hackster.io, a developing community... Read more…

By Staff report

Reviving Moore’s Law? LBNL Researchers See Promise in Heterostructure Oxides

July 9, 2020

The reality of Moore’s law’s decline is no longer doubted for good empirical reasons. That said, never say never. Recent work by Lawrence Berkeley National Laboratory researchers suggests heterostructure oxides may b Read more…

By John Russell

President’s Council Targets AI, Quantum, STEM; Recommends Spending Growth

July 9, 2020

Last week the President Council of Advisors on Science and Technology (PCAST) met (webinar) to review policy recommendations around three sub-committee reports: 1) Industries of the Future (IotF), chaired be Dario Gil (d Read more…

By John Russell

AWS Solution Channel

Best Practices for Running Computational Fluid Dynamics (CFD) Workloads on AWS

The scalable nature and variable demand of CFD workloads makes them well-suited for a cloud computing environment. Many of the AWS instance types, such as the compute family instance types, are designed to include support for this type of workload.  Read more…

Intel® HPC + AI Pavilion

Supercomputing the Pandemic: Scientific Community Tackles COVID-19 from Multiple Perspectives

Since their inception, supercomputers have taken on the biggest, most complex, and most data-intensive computing challenges—from confirming Einstein’s theories about gravitational waves to predicting the impacts of climate change. Read more…

Penguin Computing Brings Cascade Lake-AP to OCP Form Factor

July 7, 2020

Penguin Computing, a subsidiary of SMART Global Holdings, Inc., announced yesterday (July 6) a new Tundra server, Tundra AP, that is the first to implement the Intel Xeon Scalable 9200 series processors (codenamed Cascad Read more…

By Tiffany Trader

Max Planck Society Begins Installation of Liquid-Cooled Supercomputer from Lenovo

July 9, 2020

Lenovo announced today that it is supplying a new high performance computer to the Max Planck Society, one of Germany's premier research organizations. Comprise Read more…

By Tiffany Trader

President’s Council Targets AI, Quantum, STEM; Recommends Spending Growth

July 9, 2020

Last week the President Council of Advisors on Science and Technology (PCAST) met (webinar) to review policy recommendations around three sub-committee reports: Read more…

By John Russell

Google Cloud Debuts 16-GPU Ampere A100 Instances

July 7, 2020

On the heels of the Nvidia’s Ampere A100 GPU launch in May, Google Cloud is announcing alpha availability of the A100 “Accelerator Optimized” VM A2 instance family on Google Compute Engine. The instances are powered by the HGX A100 16-GPU platform, which combines two HGX A100 8-GPU baseboards using... Read more…

By Tiffany Trader

Q&A: HLRS’s Bastian Koller Tackles HPC and Industry in Germany and Europe

July 6, 2020

In this exclusive interview for HPCwire – sadly not face to face – Steve Conway, senior advisor for Hyperion Research, talks with Dr.-Ing Bastian Koller about the state of HPC and its collaboration with Industry in Europe. Koller is a familiar figure in HPC. He is the managing director at High Performance Computing Center Stuttgart (HLRS) and also serves... Read more…

By Steve Conway, Hyperion

OpenPOWER Reboot – New Director, New Silicon Partners, Leveraging Linux Foundation Connections

July 2, 2020

Earlier this week the OpenPOWER Foundation announced the contribution of IBM’s A21 Power processor core design to the open source community. Roughly this time Read more…

By John Russell

Hyperion Forecast – Headwinds in 2020 Won’t Stifle Cloud HPC Adoption or Arm’s Rise

June 30, 2020

The semiannual taking of HPC’s pulse by Hyperion Research – late fall at SC and early summer at ISC – is a much-watched indicator of things come. This yea Read more…

By John Russell

Racism and HPC: a Special Podcast

June 29, 2020

Promoting greater diversity in HPC is a much-discussed goal and ostensibly a long-sought goal in HPC. Yet it seems clear HPC is far from achieving this goal. Re Read more…

Top500 Trends: Movement on Top, but Record Low Turnover

June 25, 2020

The 55th installment of the Top500 list saw strong activity in the leadership segment with four new systems in the top ten and a crowning achievement from the f Read more…

By Tiffany Trader

Supercomputer Modeling Tests How COVID-19 Spreads in Grocery Stores

April 8, 2020

In the COVID-19 era, many people are treating simple activities like getting gas or groceries with caution as they try to heed social distancing mandates and protect their own health. Still, significant uncertainty surrounds the relative risk of different activities, and conflicting information is prevalent. A team of Finnish researchers set out to address some of these uncertainties by... Read more…

By Oliver Peckham

[email protected] Turns Its Massive Crowdsourced Computer Network Against COVID-19

March 16, 2020

For gamers, fighting against a global crisis is usually pure fantasy – but now, it’s looking more like a reality. As supercomputers around the world spin up Read more…

By Oliver Peckham

[email protected] Rallies a Legion of Computers Against the Coronavirus

March 24, 2020

Last week, we highlighted [email protected], a massive, crowdsourced computer network that has turned its resources against the coronavirus pandemic sweeping the globe – but [email protected] isn’t the only game in town. The internet is buzzing with crowdsourced computing... Read more…

By Oliver Peckham

Supercomputer Simulations Reveal the Fate of the Neanderthals

May 25, 2020

For hundreds of thousands of years, neanderthals roamed the planet, eventually (almost 50,000 years ago) giving way to homo sapiens, which quickly became the do Read more…

By Oliver Peckham

DoE Expands on Role of COVID-19 Supercomputing Consortium

March 25, 2020

After announcing the launch of the COVID-19 High Performance Computing Consortium on Sunday, the Department of Energy yesterday provided more details on its sco Read more…

By John Russell

Honeywell’s Big Bet on Trapped Ion Quantum Computing

April 7, 2020

Honeywell doesn’t spring to mind when thinking of quantum computing pioneers, but a decade ago the high-tech conglomerate better known for its control systems waded deliberately into the then calmer quantum computing (QC) waters. Fast forward to March when Honeywell announced plans to introduce an ion trap-based quantum computer whose ‘performance’ would... Read more…

By John Russell

Neocortex Will Be First-of-Its-Kind 800,000-Core AI Supercomputer

June 9, 2020

Pittsburgh Supercomputing Center (PSC - a joint research organization of Carnegie Mellon University and the University of Pittsburgh) has won a $5 million award Read more…

By Tiffany Trader

Global Supercomputing Is Mobilizing Against COVID-19

March 12, 2020

Tech has been taking some heavy losses from the coronavirus pandemic. Global supply chains have been disrupted, virtually every major tech conference taking place over the next few months has been canceled... Read more…

By Oliver Peckham

Leading Solution Providers


Nvidia’s Ampere A100 GPU: Up to 2.5X the HPC, 20X the AI

May 14, 2020

Nvidia's first Ampere-based graphics card, the A100 GPU, packs a whopping 54 billion transistors on 826mm2 of silicon, making it the world's largest seven-nanom Read more…

By Tiffany Trader

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

‘Billion Molecules Against COVID-19’ Challenge to Launch with Massive Supercomputing Support

April 22, 2020

Around the world, supercomputing centers have spun up and opened their doors for COVID-19 research in what may be the most unified supercomputing effort in hist Read more…

By Oliver Peckham

Australian Researchers Break All-Time Internet Speed Record

May 26, 2020

If you’ve been stuck at home for the last few months, you’ve probably become more attuned to the quality (or lack thereof) of your internet connection. Even Read more…

By Oliver Peckham

15 Slides on Programming Aurora and Exascale Systems

May 7, 2020

Sometime in 2021, Aurora, the first planned U.S. exascale system, is scheduled to be fired up at Argonne National Laboratory. Cray (now HPE) and Intel are the k Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

TACC Supercomputers Run Simulations Illuminating COVID-19, DNA Replication

March 19, 2020

As supercomputers around the world spin up to combat the coronavirus, the Texas Advanced Computing Center (TACC) is announcing results that may help to illumina Read more…

By Staff report

$100B Plan Submitted for Massive Remake and Expansion of NSF

May 27, 2020

Legislation to reshape, expand - and rename - the National Science Foundation has been submitted in both the U.S. House and Senate. The proposal, which seems to Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This