Maximizing ANSYS Fluent Performance with InfiniBand and HPC-X MPI

September 9, 2019

If you’ve ever flown on an airplane, driven a car, used a computer, touched a mobile device, crossed a bridge or put on wearable technology, chances are you’ve used a product that ANSYS software has played a critical role in creating.  ANSYS® Fluent® is a general-purpose computational fluid dynamics (CFD) and multiphysics tool with an incredible range of capabilities for physical modeling needed to model turbulence, heat transfer, flow and reactions for industrial applications.

Fluent already solves the toughest design challenges with well-validated results across the widest range of CFD and multiphysics applications. But, today, engineers need to accomplish more in less time. They depend on high-performance computing (HPC) for faster, high-fidelity results offering greater performance insight. With more complex models and simulations pushing the  boundaries of hardware, delivering faster solutions that demonstrate a clear competitive advantage is an absolute must for today’s savvy businesses. Mellanox and ANSYS have an ongoing partnership to deliver exceptional performance for customers.

InfiniBand and In-Network Computing

By delivering the fastest data speed, lowest latency, smart accelerations and highest efficiency, InfiniBand is the best choice to connect the world’s top HPC and artificial intelligence supercomputers. It is also the clear networking solution for maximizing scalable performance with Fluent. Mellanox and ANSYS have a long-standing collaboration to offer best-of-breed solutions that enable exceptional scalable performance for the most demanding CFD workloads.

Computational fluid dynamics is extremely performance-driven.  It demands the highest bandwidth, ultra-low latency and native CPU offloads, including RDMA, to get the highest server efficiency and application productivity at scale. Mellanox InfiniBand delivers the highest bandwidth and lowest latency of any standard interconnect, enabling CPU efficiencies of greater than 95%.

InfiniBand In-Network Computing technology includes Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)™,  an R&D100 award-winning technology which executes data reduction algorithms on network devices instead of on host-based processors. It also includes other offload capabilities such as hardware-based tag-matching, rendezvous protocol and more. These technologies are in use at several of the recently deployed large-scale supercomputers around the world, including many of the top TOP500 platforms.

Mellanox HPC-X™ ScalableHPC™ MPI Suite

Mellanox HPC-X is an accelerated MPI implementation based on the open source OpenMPI. This fully featured and tested MPI is optimized for InfiniBand or RDMA over Converged Ethernet (RoCE) and supports other standards-based interconnects. Furthermore, Mellanox HPC-X takes advantage of the advanced offload acceleration engines available in the InfiniBand hardware, including the latest In-Network Computing capabilities, to maximize application performance. HPC-X supports the Unified Communication X (UCX) framework, which is an open source framework developed by the UCF consortium. This collaboration between industry, laboratories and academia is driving the next-generation communication framework for high-performance computing applications. UCX serves as the MPI point-to-point accelerated engine within HPC-X. Additionally, Hierarchical Collectives (HCOLL) comprises a collective acceleration engine library that implements Mellanox SHARP technology and other enhanced algorithms to accelerate application performance.

CFD simulations are communication-latency sensitive. HPC-X significantly increases the scalability and performance of message communications in the network, unlocking system performance and freeing the CPU to work on the application, not communication overhead.

HPC-X is free to download and use, so you can rapidly deploy and deliver maximum application performance without the complexity and costs of licensed third-party tools and libraries.

ANSYS and Mellanox: Delivering the Exceptional CFD Solution

The ANSYS benchmark suite provides Fluent hardware performance data measured using sets of benchmark problems selected to represent typical usage. The Fluent benchmark cases range in size from a few hundreds of thousands of cells to more than 100 million cells. The suite contains both pressure-based (segregated and coupled) and density-based implicit solver cases using a variety of cell types and a range of physics. These cases are used by hardware vendors to benchmark their hardware systems.

With the broad coverage and scope of the ANSYS Fluent benchmarking suite, the combination of Fluent, Mellanox InfiniBand hardware and HPC-X MPI delivers superior scalable performance and a clear competitive advantage across a wide range of large, complex problem sizes. This will ultimately enable Fluent users to simulate larger, high-fidelity models without having to expand their cluster nodes. In addition, their current models can now keep on scaling into higher node counts, mitigating the levelling off of performance which had been seen on OpenMPI-based clusters.

 


Additional Resources:

Mellanox https://www.mellanox.com
Mellanox HPC-X https://www.mellanox.com/page/hpcx_overview
Unified Communication X  https://openucx.org
ANSYS Fluent https://www.ansys.com/products/fluids/ansys-fluent
ANSYS Fluent Benchmarks  https://www.ansys.com/solutions/solutions-by-role/it-professionals/platform-support/benchmarksoverview/ansys-fluent-benchmarks

 

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