Marvell Awarded Los Alamos National Laboratory R&D Contract to Accelerate Advanced Server Technology

November 13, 2018

SANTA CLARA, Calif.Nov. 13, 2018 — Marvell has announced that it has been awarded funding from Los Alamos National Laboratory to accelerate the architecture, design and development of advanced server technology required for more efficient usable operations per second per watt or operations per second per dollar of programmer time. With this funding, Marvell will focus on advancing key areas of system architecture and silicon design that maximize the efficiency and overall performance of large-scale supercomputers that are critical for the most demanding and complex problems in science and research. Key technology elements to be addressed include processor core design, enhanced memory technology and optimized processor interconnect architecture.

Improving computing efficacy is critical for future United States Department of Energy high performance computing (HPC) systems. As the nation’s nuclear stockpile moves further from the nuclear test base due to aging, remanufactured components, and Life Extension Programs (LEPs), the need for efficient predictive simulation is becoming increasingly urgent. Potential Advanced Technology (AT) systems in 2021 and beyond envisioned by the Advanced Simulation and Computing (ASC) Program will be critical to the success of the National Nuclear Security Administration (NNSA) Stockpile Stewardship Program (SSP) and the current and planned LEP activities. Having more efficient computing options for extreme scale, multi-physics weapons simulations is at the heart of this collaborative effort.

Marvell will leverage its experience and expertise in delivering the currently shipping Marvell ThunderX2 processor, which is the leading Arm-based processor in the HPC industry and is currently deployed at the Los Alamos National Laboratory running classified simulation codes in support of the SSP. The collaboration with LANL will leverage extreme-scale, complex simulation expertise and provide some of the most demanding simulation workload needs for next-generation processor technologies to tackle.

“The funding from Los Alamos National Laboratory, combined with our ongoing technical collaboration, will further accelerate our designs and innovations for our future server products,” said Gopal Hegde, vice president and general manager, Server Processor Business Unit at Marvell Semiconductor, Inc. “Marvell has demonstrated the ability to consistently deliver high performance Arm-based server SoC solutions. ThunderX2, our second-generation Arm-based server processor, combines high compute performance with best-in-class memory bandwidth, memory capacity and rich IO configurations to deliver compelling performance for a variety of cloud and HPC applications, and is the industry’s most widely adopted Arm-based server processor. We look forward to working with Los Alamos in this next phase of exciting technology development.”

“This collaborative and integrated development activity between LANL and Marvell is the first step toward creating a variety of new architectural components which will enable LANL’s goal of creating or enabling a family of system elements which are centrally focused on efficient mission-centric computing which is naturally the focus of the new LANL-led Efficient Mission Centric Computing Consortium (EMC3),” said Stephen Poole, LANL senior architect. “All of these activities will utilize a more balanced co-design process where system elements move toward application needs at least as far if not farther than applications have to move toward systems element design, and all target being integrated into potential future systems from multiple processor/component vendors and integrators. Though the enhancements and new capabilities are strategically targeted at addressing LANL complex simulation needs, they will certainly apply to many other complex computing needs.”

About Los Alamos National Laboratory (www.lanl.gov

Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is operated by Triad, a public service oriented, national security science organization equally owned by its three founding members: Battelle Memorial Institute (Battelle), the Texas A&M University System (TAMUS), and the Regents of the University of California (UC) for the Department of Energy’s National Nuclear Security Administration.

Los Alamos enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

About Marvell

Marvell first revolutionized the digital storage industry by moving information at speeds never thought possible. Today, that same breakthrough innovation remains at the heart of the company’s storage, processing, networking, security and connectivity solutions. With leading intellectual property and deep system-level knowledge, Marvell’s semiconductor solutions continue to transform the enterprise, cloud, automotive, industrial, and consumer markets. To learn more, visit: https://www.marvell.com/


Source: Marvell

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!

Quantum Companies D-Wave and Rigetti Again Face Stock Delisting

October 4, 2024

Both D-Wave (NYSE: QBTS) and Rigetti (Nasdaq: RGTI) are again facing stock delisting. This is a third time for D-Wave, which issued a press release today following notification by the SEC. Rigetti was notified of delisti Read more…

Alps Scientific Symposium Highlights AI’s Role in Tackling Science’s Biggest Challenges

October 4, 2024

ETH Zürich recently celebrated the launch of the AI-optimized “Alps” supercomputer with a scientific symposium focused on the future possibilities of scientific AI thanks to increased compute power and a flexible ar Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvidia GPUs). Recently, MLCommons introduced the results of its Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever physical processor they want, without making code changes, the Read more…

IBM Quantum Summit Evolves into Developer Conference

October 2, 2024

Instead of its usual quantum summit this year, IBM will hold its first IBM Quantum Developer Conference which the company is calling, “an exclusive, first-of-its-kind.” It’s planned as an in-person conference at th Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed that the company will release Falcon Shores as a GPU. The com Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvi Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever ph Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

How GenAI Will Impact Jobs In the Real World

September 30, 2024

There’s been a lot of fear, uncertainty, and doubt (FUD) about the potential for generative AI to take people’s jobs. The capability of large language model Read more…

IBM and NASA Launch Open-Source AI Model for Advanced Climate and Weather Research

September 25, 2024

IBM and NASA have developed a new AI foundation model for a wide range of climate and weather applications, with contributions from the Department of Energy’s Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Building the Quantum Economy — Chicago Style

September 24, 2024

Will there be regional winner in the global quantum economy sweepstakes? With visions of Silicon Valley’s iconic success in electronics and Boston/Cambridge� Read more…

How GPUs Are Embedded in the HPC Landscape

September 23, 2024

Grasping the basics of Graphics Processing Unit (GPU) architecture is crucial for understanding how these powerful processors function, particularly in high-per Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor 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…

Leading Solution Providers

Contributors

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire