New Enhancements Boost Chelsio’s 40Gbps T5 Adapter Capabilities

July 27, 2015

The release of three new software enhancements adds even more capabilities to Chelsio Communications’ powerful Terminator 5 (T5) ASIC.

The T5 is a fifth generation, high-performance 2x40Gbps/4x10Gbps server adapter engine with Unified Wire capability, enabling offloaded storage, compute and networking traffic to run simultaneously. T5 based adapters are high performance drop-in replacements for Fibre Channel storage adapters and InfiniBand RDMA adapters.

T5 is the only 40G Ethernet adapter with plug and play RDMA Ethernet support with no extra network configuration.

The enhancements include:

  • Linux 40GbE Data Plane Development Kit (DPDK) for high speed packet processing
  • GPUDirect over 40GbE iWARP RDMA for high performance CUDA clustering
  • NVMe over 40GbE iWARP RDMA for enhanced latency and throughput

Linux 40GbE DPDK

DPDK is a suite of packet processing libraries and NIC drivers optimized for running in user space to boost networking performance. DPDK provides a programming framework of open-source libraries to develop high speed data packet networking applications.

A recent report provides benchmark results that demonstrate the performance benefits of DPDK support for the T5 ASIC. The implementation allows networking applications to achieve unprecedented packet processing capacity and throughput unmatched by standard Linux kernel network stack or other DPDK implementations.

The benchmarks, which used Chelsio’s T580-CR Unified Wire Adapter at 40GbE, show record breaking performance, exceeding 47 MPPS in unidirectional tests, and 71 MPPS in bidirectional tests. In addition, a superior bandwidth curve showcases T5’s DPDK performance with line rate throughput at I/O size 256B for both unidirectional and bidirectional traffic.

These outstanding results make T5’s DPDK solution an ideal fit for networking applications striving for the best in packet processing performance.

TX Single Port
Fig 1. Single port unidirectional throughput and packet rate vs. I/O size using DPDK-Pktgen tool at different I/O sizes

GPUDirect over 40GbE iWARP RDMA

Remote DMA (RDMA) is a technology that achieves unprecedented levels of efficiency, thanks to direct system or application memory-to-memory communication, without CPU involvement or data copies. With RDMA enabled adapters, all packet and protocol processing required for communication is handled in hardware by the network adapter, resulting in high performance. iWARP RDMA uses a hardware TCP/IP stack that runs in the adapter, completely bypassing the host software stack, thus eliminating any inefficiencies due to software processing.

NVIDIA’s GPUDirect technology combined with iWARP RDMA takes full advantage of these advanced technologies. Network access to the GPU is achieved with high performance and efficiency. Since the host CPU and memory are completely bypassed, communication overheads and bottlenecks are eliminated, resulting in minimal impact on host resources, and translating to significantly higher overall cluster performance.

The use of Chelsio’s T580-CR iWARP RDMA adapter along with NVIDIA’s GPUDirect technology delivers dramatically lower latency and higher throughput for mission-critical scientific and HPC applications. The results also show that iWARP RDMA provides significantly higher bandwidth than competing RDMA over Ethernet protocols.

Fig. 2.  GDR enabled/disabled throughput vs. I/O size
Fig. 2. GDR enabled/disabled throughput vs. I/O size
Fig. 3  GDR enabled/disabled Latency vs. I/O size
Fig. 3 GDR enabled/disabled Latency vs. I/O size

 

NVMe over 40GbE iWARP RDMA

Developed by a consortium of storage and networking companies, NVM Express (NVMe) is an optimized interface for accessing PCI Express (PCIe) non-volatile memory (NVM) based storage solutions.

With an optimized stack, a streamlined register interface and command set designed for high performance solid state drives (SSD), NVMe is expected to provide significantly improved latency and throughput compared to SATA based solid state drives. The enhancement includes support for security and end-to-end data protection.

The benchmarks not only present superior throughput results, but also demonstrate the low remote storage access latency made possible with iWARP. Such latency numbers allow exploiting the full potential of ultra low latency SSD drives, and in combination with the efficient high throughput made possible by iWARP, provide the next generation, scalable storage network over standard, cost effective Ethernet.

iWARP is the only RDMA Ethernet that offers the performance and scalability needed by storage by using TCP/IP’s mature and proven design in hardware.

NVME iWARP Performance
Fig. 4 Using NVMe over RDMA, comparing throughput vs. I/O size
NVMe iWARP Latency
Fig 5. Using NVMe over RDMA, comparing Latency vs. I/O size

Related Links

 

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!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter 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 pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire