In-Network Computing and Next Generation HDR 200G InfiniBand

October 23, 2017

Three HPC practitioners stand at the dawn of the fourth industrial revolution. What do they call “Big Data”?  The humorous answer is of course, just “Data,” but the reality is that with the exponential growth of data that needs to be analyzed and the data resulting from ever-more complex workflows, the need for data movement has never been more challenging and critical to the worlds of High Performance Computing (HPC) and machine learning.  Mellanox Technologies, the leading global supplier of end-to-end InfiniBand interconnect solutions and services for servers, storage, and hyper-converged infrastructure, is once again moving the bar forward with the introduction of and end-to-end HDR 200G InfiniBand product portfolio.

When Fast Isn’t Fast Enough

In an age of digital transformation and big data analytics, the need for HPC and deep learning platforms to move and analyze data both in real-time and at faster speeds is ever increasing. Machine learning enables enterprises to leverage the vast amounts of data being generated today to make faster and more accurate decisions. Whether for brain mapping or for homeland security, the most demanding supercomputers and data center applications need to produce astounding achievements, often in real time!

Until relatively recently, state-of-the-art applications analyzing automotive construction or weather simulations enjoyed the data performance and throughput speeds offered by 100G interconnect. Today’s HPC, machine learning, storage and hyperscale now require both faster interconnect solutions and more intelligent networks to analyze data and run complex simulations with greater speed and efficiency. With the expected volume of network data availability doubling by the end of 2019, it only makes sense to prepare for the eventuality of demand for HDR 200G interconnectivity capabilities.

Exponential Data Growth – Everywhere

From the CPU to the Data

The need to support growing data speeds, throughput and simulation complexity accompanies a widespread recognition that the CPU has reached the limits of its scalability. Many have joined the ranks of those believing that it is no longer feasible to move data all of the way to the compute elements; rather computational operations should be performed on the data wherever the data is. Thus the start of a “Data-Centric” trend toward offloading network functions from the CPU to the network. By lightening the load on the server’s processors, the CPUs can devote all their cycles to the application. This approach increases system efficiency by allowing users to run algorithms on the data in-transit rather than waiting for the data to reach the CPU.

Next-Generation Machine Learning Interconnect Solutions

Mellanox’s forthcoming HDR 200G InfiniBand solutions represents the industry’s most advanced interconnect solution for HPC and deep learning performance and scalability.  Mellanox is the first company to enable 200G data speeds, doubling the previous data rate and expanding In-Network Computing capabilities to accommodate the larger message sizes typically found in deep learning application workloads.  Utilizing Mellanox technology, the world’s most data-intensive applications and popular frameworks are leveraging Mellanox to accelerate the performance of  their applications and frameworks:  Yahoo has demonstrated 18X speedup for image recognition; Tencent has been able to achieve world record performance for data sorting; and NVIDIA has incorporated Mellanox solutions inside their deep learning DGX-1 appliance in order to provide 400Gb/s data throughput, and to build one of the most power-efficient machine learning supercomputers.

In-Network Computing and Security Offloads

Machine learning applications are based on training deep neural networks, which require complex computations and fast and efficient data delivery. Besides doubling the speed and providing the higher radix switch, Mellanox’s new HDR 200G switch and adapter hardware supports in-networking computing (application offload capability) and in-network memory.  Mellanox’s HDR InfiniBand solution offers offloads beyond that of RDMA and GPUDirect to computation for higher level communication framework collectives. This dramatically improves neural network training performance and overall machine learning applications, while saving on CPU cycles and increasing the efficiency of the network.

New data-centric paradigm enables in-network computing

Optimized Switching – from 100G to 200G

To show the improved performance in bandwidth, from 100G to 200G, we can compare Mellanox’s edge and chassis InfiniBand switch offerings:

Delivers more than twice the performance in the same QSFP package and 1RU edge switch

High Performance Adapters

To complete its end-to-end HDR solution, Mellanox ConnectX-6 delivers HDR 200G throughput with 200 million messages per second at under 600 nanoseconds of latency for both InfiniBand and Ethernet. Backward compatible, ConnectX-6 also supports HDR100, EDR, FDR, QDR, DDR and SDR InfiniBand as well as 200, 100, 50, 40, 25, and 10G Ethernet speeds.

ConnectX-6 also offers improvements in Mellanox’s Multi-Host® technology, allowing for up to eight hosts to be connected to a single adapter by segmenting the PCIe interface into multiple and independent interfaces. This leads to a variety of new rack design alternatives, lowering the total cost of ownership in the data center by reducing CAPEX (cables, NICs, and switch port expenses), and OPEX (cutting down on switch port management and overall power usage). ConnectX-6 200G InfiniBand and Ethernet (VPI) Network Adapter Storage customers will benefit from ConnectX-6’s embedded 16-lane PCIe switch, which allows them to create standalone appliances in which the adapter is directly connected to the SSDs. By leveraging ConnectX-6 PCIe Gen3/Gen4 capability, customers can build large, efficient high speed storage appliances with NVMe devices.

Rounding out Mellanox’s HDR 200G InfiniBand portfolio is its line of LinkX cables. Mellanox offers direct-attach 200G copper cables reaching up to 3 meters and 2 x 100G splitter breakout cables to enable HDR100 links, as well as 200G active optical cables that reach up to 100 meters. All LinkX cables in the 200G line come in standard QSFP packages. Furthermore, the optical cables provide the world’s first Silicon Photonics engine to support 50Gb/s lanes, with clean optical eyes even at such high speeds.

To see how Mellanox fares against the competition, we can compare the benefits of Mellanox’s HDR100  versus  Omni-Path .

The higher port radix enables Mellanox to build a similar cluster size as Intel, using almost half the amount of switches and cables. Lowering TCO and increasing ROI, the Mellanox HDR solution reduces power consumption, thus lowering OPEX as well as reducing rack space and thus, CAPEX. Moreover, the higher density solution delivers performance improvements with a 50% reduction in latency, as well as a simpler interconnect solution that requires fewer cable connections and has HDR fat uplinks which are more robust for congestion and microbursts.

HDR100 Savings vs. Competition:
3X Real Estate Saving, 4X Cable Saving, 2X Power & Latency Saving
HDR100  Savings of Mellanox vs. the Competition:
1.6X Switch Saving, 2X Cable Saving, Wider Uplink Pipes

Empowering Next-Generation Data Centers

As the requirement for intensive data analytics increases, there is a corresponding demand for higher bandwidth. Even 100Gb/s is insufficient for some of today’s most demanding data centers and clusters. Moreover, the traditional CPU-centric approach to networking has proven to be too inefficient for such complex applications. The Mellanox HDR 200G solution address these issues by providing the world’s first 200Gb switches, adapters, and cables and software, and by enabling In-Network Computing to handle data throughout the network instead of exclusively in the CPU. With its 200G solution, Mellanox continues to push the industry toward Exascale computing and remains a generation ahead of the competition.

The advantages of leveraging an all-Mellanox ecosystem range from inter-product compatibility of switches, adapters and cables to simpler integration and implementation with the customer’s pre-existing systems, and streamlined training sessions for IT staff.

About Mellanox

With over 18 years of experience designing high-speed communication fabrics, Mellanox is a leading supplier of end-to-end intelligent interconnect solutions and services for a wide range of markets including high performance computing, machine learning, enterprise data centers, Web 2.0, cloud, storage, network security, telecom and financial services. Mellanox adapters, switches, cables and software implement the world’s fastest and most robust InfiniBand and Ethernet networking solutions for a complete, high-performance machine learning infrastructure. These capabilities ensure optimum application performance.

For more information, please visit: http://www.mellanox.com/solutions/hpc/.

 

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!

SC17 US Student Cluster Competition Teams: Defending the Home Turf

November 24, 2017

Nine US universities showed up to the SC17 Student Cluster Competition in an attempt to keep the trophies in the United States. Let’s use our video lens to get to know them a bit better…. Georgia Tech is a newbie Read more…

By Dan Olds

Long Flights to Cluster Fights: Meet the Asian Student Cluster Teams

November 22, 2017

Five teams from Asia traveled thousands of miles to compete at the SC17 Student Cluster Competition in Denver. Our cameras were there to meet ‘em, greet ‘em, and grill ‘em about their clusters and how they’re doi Read more…

By Dan Olds

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open question. The latest geo-region to throw its hat in the quantum co Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Wins “Best HPC Server” for the Apollo 6000 Gen10 System

Hewlett Packard Enterprise (HPE) was nominated for 14 HPCwire Readers’ and Editors’ Choice Awards—including “Best High Performance Computing (HPC) Server Product or Technology” and “Top Supercomputing Achievement.” The HPE Apollo 6000 Gen10 was named “Best HPC Server” of 2017. Read more…

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshop Read more…

By Andrew Jones

SC17 US Student Cluster Competition Teams: Defending the Home Turf

November 24, 2017

Nine US universities showed up to the SC17 Student Cluster Competition in an attempt to keep the trophies in the United States. Let’s use our video lens to ge Read more…

By Dan Olds

Long Flights to Cluster Fights: Meet the Asian Student Cluster Teams

November 22, 2017

Five teams from Asia traveled thousands of miles to compete at the SC17 Student Cluster Competition in Denver. Our cameras were there to meet ‘em, greet ‘em Read more…

By Dan Olds

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC Read more…

By Andrew Jones

SC Bids Farewell to Denver, Heads to Dallas for 30th Anniversary

November 17, 2017

After a jam-packed four-day expo and intensive six-day technical program, SC17 has wrapped up another successful event that brought together nearly 13,000 visit Read more…

By Tiffany Trader

SC17 Keynote – HPC Powers SKA Efforts to Peer Deep into the Cosmos

November 17, 2017

This week’s SC17 keynote – Life, the Universe and Computing: The Story of the SKA Telescope – was a powerful pitch for the potential of Big Science projects that also showcased the foundational role of high performance computing in modern science. It was also visually stunning. Read more…

By John Russell

How Cities Use HPC at the Edge to Get Smarter

November 17, 2017

Cities are sensoring up, collecting vast troves of data that they’re running through predictive models and using the insights to solve problems that, in some Read more…

By Doug Black

Student Cluster LINPACK Record Shattered! More LINs Packed Than Ever before!

November 16, 2017

Nanyang Technological University, the pride of Singapore, utterly destroyed the Student Cluster Competition LINPACK record by posting a score of 51.77 TFlop/s a Read more…

By Dan Olds

Hyperion Market Update: ‘Decent’ Growth Led by HPE; AI Transparency a Risk Issue

November 15, 2017

The HPC market update from Hyperion Research (formerly IDC) at the annual SC conference is a business and social “must,” and this year’s presentation at S Read more…

By Doug Black

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

Flipping the Flops and Reading the Top500 Tea Leaves

November 13, 2017

The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released Read more…

By Tiffany Trader

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

Share This