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AMD and Supermicro Work Together to Produce the Latest High-Performance Computers

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AMD and Supermicro Work Together to Produce the Latest High-Performance Computers

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Solving some of business’ bigger computing challenges requires a solid partnership between CPU vendor, system builders and channel partners. That is what AMD and Supermicro have brought to the market with the third generation of AMD's EPYC™ processors with AMD 3D V-Cache™ and AMD Instinct™ MI200 series GPU accelerators wrapped up in SuperBlade servers built by Supermicro.

 

“This has immediate benefits for particular fields such as crash and digital circuit simulations and electronic design automation,” said David Weber, Senior Manager for AMD. “It means we can create virtual chips and track workflows and performance before we design and build the silicon." The same situation holds for computational fluid dynamics, he added, "in which we can determine the virtual air and water flows across wings and through water pumps and save a lot of time and money, and the AMD 3D V-Cache™ makes this process a lot faster.” Without any software coding changes, these applications are seeing 50% to 80% performance improvement, Weber said.

 

The chips are not just fast, they come with several built-in security features, including support for Zen 3 and Shadow Stack. Zen 3 is the overall name for a series of improvements to the AMD higher-end CPU line that have shown a 19% improvement in instructions per clock, lower latency for doubled cache delivery when compared to the earlier Zen 2 architecture chips.

 

These processors also support Microsoft’s Hardware-enforced Stack Protection to help detect and thwart control-flow attacks by checking the normal program stack against a secured hardware-stored copy. This helps to boot securely, protect the computer from firmware vulnerabilities, shield the operating system from attacks, and prevent unauthorized access to devices and data with advanced access controls and authentication systems.

 

Supermicro offers its SuperBlade servers that take advantage of all these performance and security improvements. For more information, see this webcast.

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Lawrence Livermore Labs Advances Scientific Research with AMD GPU Accelerators

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Lawrence Livermore Labs Advances Scientific Research with AMD GPU Accelerators

The Lawrence Livermore National Lababoratory chose to use a cluster of 120 servers running AMD EPYC™ processors with nearly 1,000 AMD Instinct™ GPU accelerators. The hardware, facilitated by Supermicro, was an excellent match for the molecular dynamics simulations required for the Lab's cutting-edge research, which combines machine learning with structural biology concepts.

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Lawrence Livermore National Laboratory is one of the centers of high-performance computing (HPC) in the world and it is constantly upgrading its equipment to meet increasing computational demands. It houses one of the world's largest computing environments. Among its more pressing research goals derives from the COVID-19 crisis.

Lawrence Livermore researches and supports proposals from the COVID-19 HPC Consortium, which is composed of more than a dozen research organizations across government, academia and private industry. It aims to accelerate disease detection and treatment efforts, as well as to screen antibody candidates virtually and run several disease-related mathematical simulations.

"By leveraging the massive compute capabilities of the world’s [more] powerful supercomputers, we can help accelerate critical modeling and research to help fight the virus," said Forrest Norrod, senior vice president and general manager, AMD Datacenter and Embedded Systems Group.

The lab chose to use a cluster of 120 servers running AMD EPYC™ processors with nearly 1,000 AMD Instinct™ GPU accelerators. The servers were connected by Mellanox switches. The product choices had two benefits: First, the hardware, facilitated by Supermicro, was an excellent match for the molecular dynamics simulations required for this research. The lab is performing cutting-edge research that combines machine learning with structural biology concepts. Second, the gear was tested and packaged together, so it could become operational when it was delivered to the lab.

AMD software engineers and application specialists were able to modify components to run GPU-based applications. This is top-of-the-line gear. The AMD accelerators deliver up to 13.3 teraFLOPS of single-precision peak floating-point performance combined with 32GB of high-bandwidth memory. The scientists were able to reduce their simulation run-times from seven hours to just 40 minutes, allowing  them to test multiple modeling iterations efficiently.

For more information, see the Supermicro case study and Lawrence Livermore report.

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