Supercomputing Wrap: Top Stories from SC14

By Nicole Hemsoth

November 22, 2014

As we noted in a few different pieces throughout the week, there has been little change in the Top 500 supercomputer rankings with Tianhe-2 still maintaining its dramatic edge over other systems. While we expect some new systems to enter the list in time for the June rundown, the very large machines we heard about this week, most notably those that are part of the CORAL procurements, are a couple of years away.

For anyone who has followed the news of the week, it likely comes as no surprise that the CORAL systems were the top announcements at SC14. This means also that IBM and the future of Power systems for HPC were also a hot topic, as well as what this shift means for NVIDIA’s Tesla business unit. While there is quite a bit on that we’ve shared throughout the week, IBM is back in HPC along, of course, with Lenovo, which according to IDC analysts at this week’s briefing on the HPC market, could consume a large portion the Top 500 list in the coming years, possibly usurping HP, which is the dominant server player for HPC systems.

On that note, Lenovo had a strong SC week with announcements that included a new HPC Innovation Center in Stuttgart, Germany where they will work with partners Intel and Mellanox, as well as a 2-socket server offering with Xeon E5-2698A v3 processors that will be made available in the specialty NextScale systems. The company demonstrated their “Petacube” this week at the show, showing how users can condense a petaflop into a densely configured set of two “Knights Landing” powered 42U-tall racks. This was of great interest to those we talked to, in part because of the Knight’s Landing hook, but there was a new Knight inducted into the community this week.

Intel let loose on more information around the upcoming “Knights Landing” chips, which are expected to emerge in 2015, as well as offered a much more extended sense of the roadmap for increasing floating point performance with the eventual “Knights Hill” codename we first heard this week. For the sake of space, take a gander at this deep dive for a sense of how Intel is pushing performance for its coprocessor and future direction.

While Intel remains the unquestionable leader in the CPU space, accelerator adoption via NVIDIA GPUs and Intel Xeon Phi are on a slower but steady growth curve. While we weren’t treated to any news about the future of NVIDIA’s Maxwell GPUs at the show, the company did unveil the K80, its next-generation GPU. As reported this week, “This GPU is different from the GK110B GPU used in the Tesla K40 coprocessor in a few ways, including a doubling of the shared GDDR5 memory and registers in the chip. The GK210 also sports an improved GPU Boost overclocking mechanism that allows for the two GPU chips on the card to squeeze out the maximum performance given the thermal envelope of the systems in which they are tucked and the nature of the workload as it is running.”

This development, coupled with NVIDIA’s work with IBM in the OpenPower space, which we will see come to fruition in the 2017 timeframe, is set to heat up competition (finally) on the chip front. With Power9, an emerging ARM 64 ecosystem, and plenty of new combinations of other accelerators, including new FPGA and even DSP-fueled low-power processor options, the wait for a more interesting, diverse mix of systems won’t be much longer.

There seem to be some shifting winds for a few vendors who have had a presence in supercomputing but now seem keen on moving with more force into the segment. For instance, at the last couple of SC and ISC events, AMD has been more of a “seen but not heard” presence, in part because the din around Intel and NVIDIA has always been heavy. However, it’s worth pointing out that AMD did have a series of announcements that might signal a renewed interest in HPC, powered in part by FastForward 2 research and development funds.

This week the company announced that it would have an unstated stake in the $32 million overall funds set aside to push the next generation of exascale-class applications. According to AMD, the funds will go toward moving “AMD’s APUs based on the open standard heterogeneous system architecture (HAS), as well as future memory systems to power a generation of exascale supercomputers capable of delivering 30-60 times more performance than today’s fastest supercomputers.”

AMD’s FirePro cards were at the heart of the number one Green500 placement, the L-CSC cluster at GSI Helmholtzzentrum in Darmstady, Germany. AMD helped the center take the top slot with 5.27 gigaflops per watt on the benchmark across the combination of Intel Ivy Bridge CPUs, AMD FirePro GPUs and some clever software work to push peak efficiency. AMD also partnered with Penguin to demo a new APU cluster based on HAS, which ties the CPU/GPU cores into a shared memory system that Penguin calls…(oh, dear marketing people, are you serious?) the “Jaatikko” (but with umlauts and other Finnish-isms). This system has 10 APU compute nodes that feed from Penguin’s Altus development platform at the head and marks a new class of machines from Penguin of the non-NVIDIA variety.

The “seen but not heard” qualifier has applied to Dell to some extent as well over the last couple of years. Despite a few very large installations at TACC and elsewhere, the company is selective about the HPC centers it wants to strike partnerships with. During a chat with Dell executives this week, we were told that while they could easily bid on many more supercomputing sites than they do, their goal is to always learn something new that can be put into practice across their broad range of platforms. This is especially the case if they can tune new offerings to balance between HPC and hyperscale or large-scale enterprise datacenters.

As it stands from the most recent Top 500 list, Dell only has a small sliver of the supercomputing pie with installations at 1.8% of the rankings—a total of 9 systems, including the #7 ranked Stampede machine. This might change in lists to come with the introduction of the GPU-accelerated PowerEdge C4130, is the only Intel Xeon E5-2600v3 1U server to offer up to four GPUs/accelerators. Dell says the new machine has “up to 33 percent better GPU/accelerator density than its closest competitors and 400 percent more PCIe GPU/accelerators per processor per rack U than a comparable system.” The PowerEdge C4130 can achieve over 7.2 Teraflops on a single 1U server and has a performance/watt ratio of up to 4.17 Gigaflops per watt. In an effort to further add to their HPC portfolio, the company also introduced Dell Storage for HPC with Intel Enterprise Edition for Lustre software (Intel EE for Lustre software).

Speaking of share on the Top 500, the uptick in sizable systems from Cray is worth pointing out. From the November 2010 list where Cray had 37 systems on the Top 500 to 62 now, there is little doubt the company is pushing forward to eclipse rivals in the lower tiers of the ranks following the large system share from IBM and HP. In addition to announcing a roadmap that is cut with details about their plans for ARM and other architectures (we spoke with Barry Bolding this week, more on that next edition), Cray has found a home at KAUST with one of the new XC40 supercomputers with DataWarp burst buffer and application acceleration technology, in addition to a Sonexion 2000 storage system, a Cray Tiered Adaptive Storage (TAS) system and a Urika-GD graph analytics appliance. The Cray XC40 system at KAUST, named “Shaheen II,” will be 25 times more powerful than its current system. It sounds as if they ordered just about everything from the Cray menu—a solid win for Cray in the midst of the buzz around the IBM systems coming that will far exceed the power of Titan and other large-scale Cray systems on the list.

The storage component of the KAUST deal was an important aspect to that and the “Cori” and “Trinity” systems earlier in the year for Cray. As we noted in our overview of the market following IDC’s briefing this week, storage is set to explode over the next couple of years in HPC. Accordingly, DDN’s booth was a constant flurry of activity—perhaps more so than any other vendor site we watched over the course of the week. During the show DDN announced their new Exascaler appliance, which, In a single 45 unit rack can provide 4.8 PB of usable storage using 6TB disk drives. DDN says this equates to 100MB/sec sustained scalable per-drive performance, up to 40GB/sec sustained throughput and up to 1.5 million IOPS. The company also is validating its Infinite Memory Engine (IME) across a number of sites as a burst buffer and mode of application acceleration.

Even though this show was lighter on big news items compared to previous years, it’s certainly not a less interesting space. In fact, in many ways, HPC seems to be finding itself again in the quest to hit the first generation of pre-exascale systems with Bell’s Law beginning to take shape, pushing us into a new ten-year cycle. Power and cooling innovations featured prominently at the show, as did storage and network news items that weren’t mentioned in the above rundown of some of the main themes.

While this has been by no means comprehensive, these were some of the most talked-about items. For more announcements from throughout the week, please take a look at this feed, which gives a rundown of the week.

It was great seeing so many of you in New Orleans!

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!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire