Eurotech Hive Takes The Sting Out Of Density

By Timothy Prickett Morgan

November 21, 2014

Back at the International Supercomputing Conference in June, supercomputer maker Eurotech dropped some hints about its future water-cooled Aurora systems that would employ a mix of ARM processors and Nvidia Tesla GPU accelerators in a dense form. At the SC14 conference this week, these machines have now been officially launched as the Aurora Hive systems, and it turns out that the systems will also allow customers to build massively parallel machines based on Intel Xeon processors and Xeon Phi coprocessors.

The Hive systems use a modular enclosure that that is based on a cubic shape rather than a hexagonal one, but the concept of densely stacking compute elements while isolating them from each other, as a beehive does, holds true. The system crams up to 128 nodes (which are called bricks) into a single rack – 64 nodes in the front and another 64 nodes in the back, which is something you can do when you use water cooling on the components of the nodes because you do not have to worry about airflow from cold to hot aisles through each rack.eurotech-aurora-hive-cross-section

The Hive system makes use of a second generation of direct hot water cooling from the Aurora line, which Fabio Gallo, Eurotech HPC business unit managing director, tells HPCwire can cool a system with 50 degree Celsius (122 degrees Fahrenheit) inlet water temperature. The new water cooling is lighter and more compact, allowing for more compute and cooling to be crammed into the same space. The water distribution system is built right into the Aurora Hive rack, and there are dripless connectors for inlet cold (relatively speaking) and outlet hot water coming off each node. Being able to take the heat away quickly and efficiently is vital because a fully configured Hive rack draws 166 kilowatts of juice.

“You can free cool this machine nearly anywhere on earth,” says Gallo. By Eurotech’s math, customers using the Aurora Hive should be able to attain a power usage effectiveness of 1.05, which is about as good as the hyperscale datacenter operators are getting. (PUE, as this metric is abbreviated, is the ratio of the power consumed by a datacenter divided by the power consumed by the compute, storage, and network components of the datacenter. Getting as close as possible to 1 is the goal.)

eurotech-hive-block-exposedThe Hive nodes are 3U high, and you can put them into a rack four across and sixteen high. (Each node is 130 mm high by 105 mm deep by 325 mm deep.) Each node has a system board that includes risers for a compute module and five coprocessor modules; this system board also includes a PCI-Express 3.0 switch from PLX Technology (now part of Avago Technologies) that links the compute and coprocessor elements to each other. The PCI-Express switch also has hooks out to network adapters, in this case a two-port FDR InfiniBand adapter from Mellanox Technologies. All of the PCI-Express slots have the full bandwidth of an x16 slot, which means Nvidia Tesla GPU and Intel Xeon Phi coprocessors can find a place.

Eurotech’s first Hive system will have a CPU compute element that is based on Intel’s “Haswell” Xeon E3-1200 v3 processors. This family of chips has four cores and clock speeds that range from 3.1 GHz to 3.7 GHz in standard versions. The Intel E3-1200 v3 compute node has 32 GB of memory welded onto it for low clearance and also has a 256 GB half-height 1.8-inch solid state disk drive. You can use any E3-1200 v3 chip that has a thermal design point of 84 watts or lower.

The compute brick allows for up to four coprocessors to be fitted with cold plates for sucking the heat off their components and linked to each one of the cores over the PCI-Express switch and into the PCI-Express controllers on the E3-1200 processors. Gallo tells HPCwire that it will ship the Xeon E3-1200 plus Xeon Phi configuration in a few weeks to initial customers, and that a few months after that the combination of the Xeon E3 processor and Nvidia’s Tesla K40 coprocessor will be supported. The Xeon Phi 7120X is rated at 1.2 teraflops doing double precision floating point math, while the Tesla K40 card has a base performance of 1.43 teraflops that can rise to 1.66 teraflops with GPU Boost overclocking turned on. That works out to 614 teraflops per rack with Xeon Phis and 732 teraflops per rack with the Tesla K40s (not counting the extra performance from GPU Boost).

eurotech-hive-rack_openBack in June at ISC, Eurotech was talking up the Hive system (which did not yet have that name) by saying that it would be delivering a variant of the system that would marry a 64-bit ARM processor from Applied Micro with Tesla GPU coprocessors, and you might have gotten the impression that this would come out first. While Applied Micro is shipping its “Storm” X-Gene 1 chip now, it is readying the much-better “Shadowcat” X-Gene 2 processor, which has been sampling since August. This chip will support the RDMA over Converged Ethernet (RoCE) protocol over its integrated Ethernet network interface cards, simplifying the components that go into an ARM server node. The X-Gene 1 and 2 chips have two 10 Gb/sec Ethernet ports on the die, and these can be hooked eight into adapter ports. That, in theory, leaves more room for other peripherals in the complex. The plan is to ship the X-Gene 2 as the ARM option for the CPU side of the hybrid node, along with the Tesla K40 cards as coprocessors, sometime around the second quarter of 2015.

Incidentally, Eurotech is able to get its hands on a modified Tesla K40 card with its thermal plates modified so it fits into the super-skinny Hive module. The new Tesla K80 coprocessor card, announced this week at SC14, will be a bit tricky to add to the Aurora Hive system, explains Gallo, because this dual-GPU card has some of its power connectors across the top of the card. This does not work with the very tight tolerances in the Hive module, which are necessitated by the thermal conduction plates. With the Tesla K80 offering a base 1.87 teraflops of double precision math with a GPU Boost of up to 2.91 teraflops, you can bet some customers will want this. Gallo says that there is enough thermal capacity to pull the heat off this 300 watt part, if the connectors can be sorted. Being able to double the flops in the box is a pretty strong motivator to solve this engineering problem.

Generally speaking, the X86 processor option plus either the Xeon Phi or Tesla GPU accelerators draws about 1,500 watts per node, which works out to around 5 gigaflops per watt. The top machines on the Green500 ranking of supercomputers are in the range of 4 gigaflops per watt.

Gallo is tight lipped about what other processing components it might add to the Aurora Hive system, but obviously next year’s “Knights Landing” Xeon Phi, which will be sold as a standalone processor as well as a PCI-Express coprocessor, will slide right into this system. At 3 teraflops of double-precision floating point performance, and with the ability to put in five cards, this will be a radical increase in the math capabilities. And for dense-packed, CPU only workloads that used low-speed Ethernet, Eurotech could make Hive bricks that are just based on Xeon E3 or various ARM processors which sport their own networking on the chip. If you take out the network card, that leaves room for six CPU-only compute cards per module, or 768 processors per rack. Another option would be to add cards that have flash drives with the high-speed, low-latency NVM Express protocol linking into that PCI-Express switch. You could also swap out some of the flash drives and put in GPU cards for visualization to do visualization in the same nodes where the data is stored. Eurotech has lots of options with the Aurora Hive architecture, and that is so by design.

But initially at least, Eurotech is going after the workloads that have been accelerated. “There are markets where accelerated application have become the norm instead of an exotic thing,” says Gallo. “Geosciences, particularly reverse time migration reservoir analysis, is a good example. In general, signal processing will be interesting on this system, as well be machine learning, analytics, and some computer-aided engineering tools that have been modified for accelerators.”

The Aurora Hive comes preconfigured with the CentOS 6.X variant of Linux and support from Eurotech for this distribution, but customers can deploy other Linux operating systems on the machine as needed. Scientific Linux, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Canonical Ubuntu Server are all supported. The Aurora software stack includes support for Intel Cluster Studio, Nvidia CUDA, MPSS, and the GCC compilers as well as the Intel MPI, Open MPI, and MVAPICH2 communication libraries.

Pricing for the Aurora Hive system was not available, and the question is what kind of premium can Eurotech charge for density and hot water cooling. The combination of the two should allow Eurotech to command a premium for its systems over plain vanilla clusters based on rack or blade servers, but it is a question as to how much. The market will decide.

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!

TACC Supercomputer Delves Into Protein Interactions

September 22, 2021

Adenosine triphosphate (ATP) is a compound used to funnel energy from mitochondria to other parts of the cell, enabling energy-driven functions like muscle contractions. For ATP to flow, though, the interaction between t Read more…

The Latest MLPerf Inference Results: Nvidia GPUs Hold Sway but Here Come CPUs and Intel

September 22, 2021

The latest round of MLPerf inference benchmark (v 1.1) results was released today and Nvidia again dominated, sweeping the top spots in the closed (apples-to-apples) datacenter and edge categories. Perhaps more interesti Read more…

Why HPC Storage Matters More Now Than Ever: Analyst Q&A

September 17, 2021

With soaring data volumes and insatiable computing driving nearly every facet of economic, social and scientific progress, data storage is seizing the spotlight. Hyperion Research analyst and noted storage expert Mark No Read more…

GigaIO Gets $14.7M in Series B Funding to Expand Its Composable Fabric Technology to Customers

September 16, 2021

Just before the COVID-19 pandemic began in March 2020, GigaIO introduced its Universal Composable Fabric technology, which allows enterprises to bring together any HPC and AI resources and integrate them with networking, Read more…

What’s New in HPC Research: Solar Power, ExaWorks, Optane & More

September 16, 2021

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

AWS Solution Channel

Supporting Climate Model Simulations to Accelerate Climate Science

The Amazon Sustainability Data Initiative (ASDI), AWS is donating cloud resources, technical support, and access to scalable infrastructure and fast networking providing high performance computing (HPC) solutions to support simulations of near-term climate using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 2 (CESM2) and its Whole Atmosphere Community Climate Model (WACCM). Read more…

Cerebras Brings Its Wafer-Scale Engine AI System to the Cloud

September 16, 2021

Five months ago, when Cerebras Systems debuted its second-generation wafer-scale silicon system (CS-2), co-founder and CEO Andrew Feldman hinted of the company’s coming cloud plans, and now those plans have come to fruition. Today, Cerebras and Cirrascale Cloud Services are launching... Read more…

The Latest MLPerf Inference Results: Nvidia GPUs Hold Sway but Here Come CPUs and Intel

September 22, 2021

The latest round of MLPerf inference benchmark (v 1.1) results was released today and Nvidia again dominated, sweeping the top spots in the closed (apples-to-ap Read more…

GigaIO Gets $14.7M in Series B Funding to Expand Its Composable Fabric Technology to Customers

September 16, 2021

Just before the COVID-19 pandemic began in March 2020, GigaIO introduced its Universal Composable Fabric technology, which allows enterprises to bring together Read more…

Cerebras Brings Its Wafer-Scale Engine AI System to the Cloud

September 16, 2021

Five months ago, when Cerebras Systems debuted its second-generation wafer-scale silicon system (CS-2), co-founder and CEO Andrew Feldman hinted of the company’s coming cloud plans, and now those plans have come to fruition. Today, Cerebras and Cirrascale Cloud Services are launching... Read more…

AI Hardware Summit: Panel on Memory Looks Forward

September 15, 2021

What will system memory look like in five years? Good question. While Monday's panel, Designing AI Super-Chips at the Speed of Memory, at the AI Hardware Summit, tackled several topics, the panelists also took a brief glimpse into the future. Unlike compute, storage and networking, which... Read more…

ECMWF Opens Bologna Datacenter in Preparation for Atos Supercomputer

September 14, 2021

In January 2020, the European Centre for Medium-Range Weather Forecasts (ECMWF) – a juggernaut in the weather forecasting scene – signed a four-year, $89-million contract with European tech firm Atos to quintuple its supercomputing capacity. With the deal approaching the two-year mark, ECMWF... Read more…

Quantum Computer Market Headed to $830M in 2024

September 13, 2021

What is one to make of the quantum computing market? Energized (lots of funding) but still chaotic and advancing in unpredictable ways (e.g. competing qubit tec Read more…

Amazon, NCAR, SilverLining Team for Unprecedented Cloud Climate Simulations

September 10, 2021

Earth’s climate is, to put it mildly, not in a good place. In the wake of a damning report from the Intergovernmental Panel on Climate Change (IPCC), scientis Read more…

After Roadblocks and Renewals, EuroHPC Targets a Bigger, Quantum Future

September 9, 2021

The EuroHPC Joint Undertaking (JU) was formalized in 2018, beginning a new era of European supercomputing that began to bear fruit this year with the launch of several of the first EuroHPC systems. The undertaking, however, has not been without its speed bumps, and the Union faces an uphill... Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer called Dojo to process truly vast amounts of video data. It’s a beast! … A truly useful exaflop at de facto FP32.” Read more…

Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer

May 27, 2021

A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…

Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip

August 27, 2021

Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…

Enter Dojo: Tesla Reveals Design for Modular Supercomputer & D1 Chip

August 20, 2021

Two months ago, Tesla revealed a massive GPU cluster that it said was “roughly the number five supercomputer in the world,” and which was just a precursor to Tesla’s real supercomputing moonshot: the long-rumored, little-detailed Dojo system. “We’ve been scaling our neural network training compute dramatically over the last few years,” said Milan Kovac, Tesla’s director of autopilot engineering. Read more…

CentOS Replacement Rocky Linux Is Now in GA and Under Independent Control

June 21, 2021

The Rocky Enterprise Software Foundation (RESF) is announcing the general availability of Rocky Linux, release 8.4, designed as a drop-in replacement for the soon-to-be discontinued CentOS. The GA release is launching six-and-a-half months after Red Hat deprecated its support for the widely popular, free CentOS server operating system. The Rocky Linux development effort... Read more…

Intel Completes LLVM Adoption; Will End Updates to Classic C/C++ Compilers in Future

August 10, 2021

Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more…

Google Launches TPU v4 AI Chips

May 20, 2021

Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more…

Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel

August 25, 2021

The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…

Leading Solution Providers


AMD-Xilinx Deal Gains UK, EU Approvals — China’s Decision Still Pending

July 1, 2021

AMD’s planned acquisition of FPGA maker Xilinx is now in the hands of Chinese regulators after needed antitrust approvals for the $35 billion deal were receiv Read more…

HPE Wins $2B GreenLake HPC-as-a-Service Deal with NSA

September 1, 2021

In the heated, oft-contentious, government IT space, HPE has won a massive $2 billion contract to provide HPC and AI services to the United States’ National Security Agency (NSA). Following on the heels of the now-canceled $10 billion JEDI contract (reissued as JWCC) and a $10 billion... Read more…

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…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from I Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008

July 14, 2021

After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…

Intel Unveils New Node Names; Sapphire Rapids Is Now an ‘Intel 7’ CPU

July 27, 2021

What's a preeminent chip company to do when its process node technology lags the competition by (roughly) one generation, but outmoded naming conventions make it seem like it's two nodes behind? For Intel, the response was to change how it refers to its nodes with the aim of better reflecting its positioning within the leadership semiconductor manufacturing space. Intel revealed its new node nomenclature, and... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow