A Close-Up Look at the World’s Largest HPC System for Commercial Research

By Doug Black

January 14, 2018

For decades, high performance computing has driven more accurate, detailed and faster seismic exploration. As oil and gas have becomes harder to find, HPC has been essential to keeping energy supplies flowing – to the point where new discovery and extraction techniques have driven up supply, driving energy prices down and making the United States a net energy exporter.

Of the companies in the sector, BP is notable for its aggressive embrace of HPC. The team of seismic researchers and computer scientists at the company’s Center for High-Performance Computing (CHPC), Houston, has quadrupled its computing power and doubled its storage capacity since it opened in 2013. The CHPC recently announced a new HPE system that more than doubles the center’s compute capabilities (from four to nine petaflops peak), making it the most powerful supercomputer in the world used for commercial research, according to industry watcher Hyperion Research.

BP’s compute capabilities led to the discovery last year of potential oil reserves estimated at 200 million barrels located at the company’s “Atlantis” drill field in the Gulf of Mexico. Whether or when BP will extract those reserves hasn’t been decided, but the finding demonstrates the increasing power and sophistication of HPC hardware and software for finding increasingly elusive energy reserves. The new Atlantis reservoir is a case in point: it’s under 7,000 feet of water and 25,000 feet below the ocean floor – about seven miles.

BP’s HPE Apollo 6000-based supercomputers reveal a balance between compute power and memory capacity. The CHPC has two HPE systems, one with 2,700 Apollo 6000 nodes equipped with Intel “Haswell” processors; its new system has 2,700 Apollo 6000 nodes with updated Intel Knights Landing chips, along with a 100 GB low latency network, boosting BP’s peak processing speed from 4 petaflops to 9 petaflops.  Equipped with High Bandwidth Memory (HBM), the system has a total active memory of 1,140 TB, along with 30 PB of storage.   The Knights Landing-based system is 18 times more powerful than the world’s fastest supercomputer in 2007.

BP’s Keith Gray

“This is a new architecture,” Keith Gray, BP’s technical director for supercomputing, told EnterpriseTech of the Knights Landing-based system.  “The computer scientists on our team worked closely with Intel and HPE to optimize our codes. Each Knights Landing processor has 16GB of memory glued on top of the processor, and that memory is five times faster than the standard. We worked with Intel to understand the optimal configuration for this, we spent close to a year in preparation for the delivery of the Knights Landing system.”

Helping BP find the potential new reserve at the Atlantis field is a proprietary algorithm using Full Waveform Inversion (FWI) technology. Gray said distributing that capability across the enormous HPE cluster is a major technical challenge.

“The problems that we’re working on continually get so large that we now have software that breaks the problem into their chunks that can be solved on a single node,” Gray said. “Our computational scientists and software engineers have written tools that distribute the work across the whole of the cluster and then sum it together to create the final output volume. There will be times we’ll be using more than 80,000 cores on a single MPI process.”

Among the geological challenges encountered at the Atlantis field are massive salt “canopies” overlaying the oil reservoir. Full Waveform Inversion is used to overcome the obstruction and distortion of seismic images caused by the canopies. FWI uses advanced algorithms to iteratively refine models of the subsurface by generating seismic wave simulations and adjusting the values of subsurface properties based on the quality of the match between the simulated and recorded data. According to BP, FWI has identified an estimated 1 billion barrels of oil across the company’s four hubs in the Gulf.

Wave Form Inversion showing a salt canopy

“We’ll come in with potentially terabytes of data for a seismic acquisition, the largest will exceed a petabyte,” Gray said. “We’ll process it, look at it in many dimensions and it is common for these research steps to create 3 to 5 PB of intermediate results that we will then analyze to put together a volume of the earth.”

The ongoing identification of new energy reserves defies predictions dating back to the 1970s that the world would run out of oil within a few decades.

“The key message is this: as we create new technical capabilities, as we open up new areas, we’re able to produce from more challenging fields,” said Gray, “We’ve been able to continue to deliver energy needed for the world, even though there were skeptics that would have claimed we were reaching a peak of energy production and we wouldn’t be able to continue to meet the requirements.”

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!

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 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…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, 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 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…

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…

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…

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…

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…

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