Chelsio T4 Adapters Deliver Industry Leading Performance for High Performance Computing

By Nicole Hemsoth

July 18, 2011

Why HPC Architectures Are Converging on Low Latency iWARP

High Performance Computing cluster architectures are moving away from proprietary and expensive networking technologies towards Ethernet as the performance/latency of TCP/IP continues to lead the way.  InfiniBand, the once-dominant interconnect technology for HPC applications leveraging Message Passing Interface (MPI) and remote direct memory access (RDMA), has now been supplanted as the preferred networking protocol in these environments.

Due to the rapid adoption of the x86 platform in high performance parallel computing environments, 48% of the top 500 supercomputers now use Ethernet as their standard networking technology (http://www.top500.org) while latency-sensitive HPC applications, such as those used in financial trading or modeling environments, leverage IP/Ethernet networks to run the same MPI/RDMA applications using iWARP.  Compatible with existing Ethernet switches, iWARP is the proven low latency RDMA-over-Ethernet solution for high-performance computing on TCP/IP, developed by the IETF and supported by the industry’s leading 10GbE adapters.

Cost-Effective, Low Latency Clustering

Now, Chelsio has delivered iWARP connectivity with the shortest delay available in a network interface card.  In recent tests with Chelsio partners, the new T420-LL-CR 10Gb Ethernet adapter was found to deliver RDMA Verbs latency of 3.4 µs and average latency of 3.7 µs.  The detailed results are available in the T420 Low Latency Technical Brief.  These results demonstrate the smooth scalability provided by the T420-LL-CR’s 4th generation T4 ASIC—essential to ensuring continuous low latency operation during periods of heavy use.

Capabilities Integrated to Deliver the Best Performance Overall

Chelsio’s second generation iWARP design builds on the RDMA capabilities of T3, with continued MPI support on Linux with OpenFabrics Enterprise Distribution (OFED), and Windows HPC Server 2008.  T3 is already a field-proven performer in Purdue University’s 1300-node cluster, and the T4 design reduces RDMA latency from T3’s already low 6.8 µs to about 3.7 µs through its increased pipeline speed.

This demonstrates the linear scalability of Chelsio’s RDMA architecture to deliver comparable or lower latency than InfiniBand DDR or QDR, and to scale effortlessly in real world applications, as connections are added.

Enhanced Storage Offloads

T4 offers protocol acceleration for both file and block-level storage traffic. For file storage, T4 supports full TOE under Linux and TCP Chimney under Windows. T4’s fourth-generation TOE design adds support for IPv6, increasingly prevalent and now a requirement for many government and wide-area applications. For block storage, T4 supports partial or full iSCSI offload of processor-intensive tasks such as protocol data unit (PDU) recovery, header and data digest, cyclic redundancy checking (CRC), and direct data placement (DDP), supporting VMware ESX.

Broadening Chelsio’s support for block storage, T4 adds partial and full FCoE offload. With an HBA driver, full offload provides maximum performance as well as compatibility with SAN management software. For software initiators, Chelsio supports the Open-FCoE stack and T4 offloads certain processing tasks much as it does in iSCSI. Unlike iSCSI, FCoE requires enhanced Ethernet support for lossless transport, Priority-based Flow Control (PFC), Enhanced Transmission Selection (ETS) and Data Centre Bridging Exchange (DCBX).

These results show how the rigorous requirements of cluster computing and storage can be met or exceeded using iWARP and the Chelsio T420-LL-CR Unified Wire Adapter. Pervasive and reliable 10Gb Ethernet with iWARP delivers a highly scalable ultra-low latency interconnect solution for all HPC environments. 

Why risk investing in technologies with marginal installed base and a limited future, when Chelsio T4-based 10GbE Unified Wire Adapters provide comprehensive support and offloading of iSCSI, FCoE, TOE, NFSiWARP, LustreiWARP for CIFs and NFS traffic, and achieve all the requirements needed for application clustering ranging from dozens to thousands of compute nodes?

So if you prefer to use one card throughout your HPC application, choose the T420-LL-CR; the Unified Wire Adapter that does it all, and does it best.

To learn more, contact [email protected], or visit www.chelsio.com.

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!

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire