Exascale USA – Continuing to Move Forward

By Alex R. Larzelere

June 6, 2018

The end of May 2018, saw several important events that continue to advance the Department of Energy’s (DOE) Exascale Computing Initiative (ECI) for the United States. Two of these events, are the passage of exascale budgets by both the full House and Senate Appropriations Committees. These are part of the Energy and Water elements of the Fiscal Year 2019 (FY-19) federal budget. The third event was the submission by industry of their proposals to the CORAL-2 Request For Proposals (RFP) for the Non-Reoccurring Engineering (NRE) and system builds of at least two more exascale computing systems. The country’s first exascale system is projected to be A21 to be installed at the Argonne National Laboratory by 2021. Even though the news was not uniformly good, these three events are more positive steps as the U.S. continues its pursuit of productive exascale computing capabilities to be used in the support of discovery science, national security, and economic competitiveness.

The first event occurred on May 16, when the House Appropriations Committee passed its version of the Energy and Water budget bill. As usual, the high-level bill was accompanied by a detailed report that breaks down the funding levels and provides specific guidance to the agencies. The FY-19 exascale numbers in the report look good, particularly for the Department of Energy’s (DOE) Office of Science (SC) Advanced Scientific Computer Research (ASCR) program.

You may recall that on February 12, 2018, President Trump submitted his FY-19 budget request to Congress that called for a total of $636 million for the DOE’s ECI. The request was divided between the National Nuclear Security Administration’s (NNSA} Advanced Simulation and Computing (ASC) program and the SC ASCR program. The $163 million ASC program request was further divided into $116 million for exascale R&D activities and $47 million for infrastructure work. The $473 million ASCR request put $233 million into the Exascale Computing Project (ECP), which is the SC R&D element of the overall ECI program, and $240 million in facilities investments that will be used to fund the NRE and procurement of the computers.

The May 16th House Appropriations Committee report did not specify a number for the ASC exascale R&D activities, but in that case, the number stays at the request level ($116 million). The report set the ASC infrastructure number at $47 million, which is once again the same as requested. The bottom line for ASC program is that the House numbers are the same as the President’s request, or $163 million. On the SC ASCR side of the ledger, the House reduced the ECP number to $225 million and reduced the facilities number to $225 million. These changes put the overall SC ASCR number to $450 million. In the end, for FY-19, the House Appropriations Committee put the overall DOE’s ECI budget at a still impressive $613 million, but a total of $23 million below the request.

The House report language also identified some important issues. The accompanying language for both the ASCR and ASC programs, voiced concerns that the Energy and Water Appropriations Subcommittee had not received adequate detail about the overall estimated costs of the procurements. For the ASC program, the subcommittee also requested an “analysis of alternatives” to satisfy stockpile stewardship mission needs and to clearly identified threshold requirements for NNSA’s HPC acquisitions. So – while there is clearly support for exascale, the House subcommittee seems to be concerned about its price tag and is starting to ask questions about what will be needed for “beyond exascale” to meet mission needs?

The second important Exascale USA event occurred on May 24th. This is when the full Senate Appropriations Committee passed the Energy and Water element of the FY-19 budget. The NNSA ASC part of ECI ended up exactly in line with the President’s request. The Appropriations Committee approved $116 million for exascale R&D and $47 million for infrastructure preparation for a total of $163 million. On the SC ASCR side, the news was good. The ECI elements received a total of $483 million. The ECP R&D activities were given $233 million in support of their work on applications, middleware software and systems integration. The ASCR facilities part was given a total of $250 million that was split between the Leadership Computing Facilities at Oak Ridge ($105 million) and Argonne ($145 millions). This is especially important for the CORAL-2 procurement because these are the funds that will be used for NRE and the system build work for the SC systems resulting from the RFP. Overall, on the Senate side, the DOE ECI was given a total of $693 million, or just a $10 million increase over the President’s request.

The last major exascale event in May, was the submission of industry responses to the RFP on the 24th. At this point we do not know which companies did, or did not, submit bids. The things we do know is that, like CORAL-1, the proposal preparation process was an aggressive 45 days. Also, like CORAL-1, the proposal preparation requirements were quite extensive. The RFP required the completion of seven volumes that included a number of different configurations and options. Also, the RFP requested that industry run a number of different benchmarks and then estimate the benchmark performance on their proposed systems. The CORAL-2 RFP set the bar very high and made the industry proposal teams work very hard.

With the submission of the proposals, the hard work now shifts behind the scenes to the evaluation process. The DOE and its labs have set an aggressive schedule to quickly get through that process and make awards. As you may recall, the CORAL-2 RFP requested bids for up to three systems. One would be placed at the Oak Ridge Leadership Computing Facility (OLCF). Another one would go to Lawrence Livermore National Laboratory to support NNSA modeling and simulation. This computer could be the same as the OLCF computer but could also be different. The RFP also included an option, if funds are available, for a third CORAL-2 exascale computer to be installed at the Argonne Leadership Computing Facility (ALCF) around 2023. This system would be in addition to the “novel technology” A21 exascale computer that is scheduled to be installed in 2021. That computer could be similar to the LLNL system, but definitely has to be different than the OLCF computer.

Bottom line — on May 24th, the CORAL-2 contracting office at Oak Ridge received hundreds, if not thousands, of electronic pages of proposal material. Now those pages are in the process of getting a thorough examination by researchers at the national labs. The DOE and its labs have promised an aggressive schedule to get that done. In December 2017, the CORAL-2 team held a vendor meeting. At that time, the labs predicted that the RFP would be released in February 2018 and that responses would be due in April. That was supposed to lead to selections being made in May and awards for the NRE work to be negotiated and signed by October. The presentation estimated that the final system build contract awards would begin by the start of 2019. Given that the RFP was released in April rather than February, but that the proposal period was shorten from eight weeks to 45 days, it seems that the RFP is only about a month behind the schedule presented in December. This means that the evaluation teams will be working fast and furious to evaluate all of the data provided in the RFP responses, but that things look good for more exascale systems to start showing up on U.S. lab floors in the 2021 – 2022 timeframe.

All in all, the last few weeks of May were very eventful for the U.S. DOE exascale programs. The news was not uniformly good, but for the most part was very encouraging. Both the House and Senate Appropriations committee reaffirmed the President’s NNSA ASC request and the Senate increased the SC ASCR request. The House voiced some concerns about where things are going and that is going to make some DOE federal employees scramble to prepare reports for Congress. The other big event was the completion of the industry proposal process for the CORAL-2 exascale machines. The procurement process seems to be slightly behind schedule but should allow for the projected delivery of an exascale system to the OLCF in 2021 and its acceptance in 2022. The outlook for Exascale USA continues to look bright. Undoubtedly, China and Europe will keep pressing ahead, but it is clear that the race for computer supremacy is on, and the U.S. is definitely in the running!

About the Author

Alex Larzelere is a senior fellow at the U.S. Council on Competitiveness, the president of Larzelere & Associates Consulting and HPCwire’s policy editor. He is currently a technologist, speaker and author on a number of disruptive technologies that include: advanced modeling and simulation; high performance computing; artificial intelligence; the Internet of Things; and additive manufacturing. Alex’s career has included time in federal service (working closely with DOE national labs), private industry, and as founder of a small business. Throughout that time, he led programs that implemented the use of cutting edge advanced computing technologies to enable high resolution, multi-physics simulations of complex physical systems. Alex is the author of “Delivering Insight: The History of the Accelerated Strategic Computing Initiative (ASCI).”

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!

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…

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…

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…

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…

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…

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