EnterpriseAI 2024年11月20日
Cerebras Sets New Record in Molecular Dynamics at 1.1M Simulations per Second
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Cerebras Systems与美国国家实验室合作,使用其晶圆级引擎实现了分子动力学模拟速度的重大突破,达到每秒超过110万步,比全球最快的超级计算机Frontier快748倍,也超过了专门用于分子动力学的Anton 3。这一突破将加速材料科学、药物研发等领域的创新,使科学家能够模拟更长时间尺度的材料行为,例如金属晶界演化、蛋白质折叠和催化反应等,为材料科学、医药和能源领域带来新的可能性。

🚀**Cerebras晶圆级引擎实现分子动力学模拟速度突破,达到每秒超过110万步,是Frontier的748倍,Anton 3的120%。** Cerebras利用单一加速器,仅消耗7%的Anton 3的能耗,即可实现更快的模拟速度,展现出强大的性能优势。

🔬**该突破使科学家能够每天完成两年多的基于GPU的模拟工作,极大地加速了分子模拟驱动的创新速度。** 这将为材料结构和功能提供更深入的见解,并为蛋白质折叠、药物研发等生物分子领域带来新的可能性。

⏱️**突破了传统超级计算机在模拟材料时仅能达到几微秒的时间尺度限制,将模拟时间扩展到毫秒级,提高了1000倍。** 这使得研究人员能够探索更长的时间尺度现象,例如金属晶界演化、蛋白质折叠和催化反应等,揭示材料的长期行为。

🤝**该项目是美国国家核安全管理局(NNSA)高级存储技术(AMT)计划的一部分,旨在到2025年将百亿亿次超级计算机加速40倍。** Cerebras的成果超出了AMT计划的目标,为未来科学进步奠定了基础。

🏆**该研究成果入围ACM戈登贝尔奖。** 研究论文已发表在ArXiv上,可供公众查阅。

Cerebras Systems, a pioneer in wafer-scale processing, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories, has set another world record and important breakthrough in molecular dynamics (MD) simulations. For the first time in the history of the field, researchers achieved more than 1 million simulation steps per second. A single Cerebras Wafer Scale Engine achieved over 1.1 million steps per second, which is 748x faster than what is possible on the world’s leading supercomputer ‘Frontier.’

In addition, Cerebras outperformed Anton 3 – the world’s leading purpose-built supercomputer for molecular dynamics. Anton 3 uses 512 specialized processors and 400 kilowatts of power. In contrast, the Cerebras system uses a single accelerator, 7% of the power, and outperforms Anton 3 by 20%.

“This new world record means that scientists can now complete two years’ worth of GPU-based simulation work every single day. This will greatly accelerate the rate of innovation derived from molecular simulations,” said Michael James, Chief Architect of Advanced Technologies and co-founder of Cerebras Systems. “This critical breakthrough will provide insights into material structure and function. When we extend our work to biomolecules, it will unlock new capabilities in protein folding, medicine, and drug development.”

Supercomputing performance can be achieved via weak scaling or strong scaling. Weak scaling increases the size of a simulation, while strong scaling increases its speed. Existing supercomputer designs use many GPUs to increase simulation scale at the same speed. Cerebras, in contrast, achieves strong scaling – it accelerates simulation speed by hundreds of times over today’s leading supercomputers. Faster speed allows scientists to simulate materials longer, effectively seeing into its future.

Without strong scaling, existing supercomputers have been limited to simulating materials at the atomic scale for a few microseconds. This breakthrough by Cerebras and scientists at US national laboratories gives researchers a new scientific instrument to investigate vital materials at the millisecond timescale, a view 1,000x further than what is possible today.

“The partnership between the NNSA laboratories and Cerebras Systems is part of the Advanced Memory Technology (AMT) program, which aims to accelerate exascale supercomputers by 40x as early as 2025. With Cerebras’ currently deployed wafer-scale computers, the teams achieved this materials science breakthrough and a speedup that exceeded the goal of the AMT program by more than 4X,” said James H. Laros III, Distinguished Member of Technical Staff and AMT program lead. “This experience bodes well for future impacts on our program and potential scientific advances.”

Long timescale simulations allow scientists to explore previously inaccessible phenomena across a wide range of domains:

Sandia recently announced the deployment of a cutting-edge Cerebras CS-3 testbed for future AI workloads.

This work has been nominated as a finalist for the ACM Gordon Bell Prize. For more information on this molecular dynamics simulation work, please see the paper on ArXiv.


This article first appeared on sister site HPCwire.

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分子动力学 超级计算 Cerebras 晶圆级引擎 材料科学
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