Purdue University is the home of Anvil, a powerful new supercomputer that provides advanced computing capabilities to support a wide range of computational and data-intensive research spanning from traditional high-performance computing to modern artificial intelligence applications.
Anvil, which is funded by a $10 million award from the National Science Foundation, significantly increases the capacity available to the NSF's Extreme Science and Engineering Discovery Environment (XSEDE), which serves tens of thousands of researchers across the U.S., and in which Purdue has been a partner for the past nine years. Anvil enters production in 2021 and serves researchers for five years. Additional funding from the NSF supports Anvil's operations and user support.
The name "Anvil" reflects the Purdue Boilermakers' strength and workmanlike focus on producing results, and the Anvil supercomputer enables important discoveries across many different areas of science and engineering. Anvil also serves as an experiential learning laboratory for students to gain real-world experience using computing for their science, and for student interns to work with the Anvil team for construction and operation. We will be training the research computing practitioners of the future. Learn more about Anvil's mission in the Anvil press release.
Anvil is built in partnership with Dell and AMD and consists of 1,000 nodes with two 64-core AMD Epyc "Milan" processors each and will deliver over 1 billion CPU core hours to XSEDE each year, with a peak performance of 5.3 petaflops. Anvil's nodes are interconnected with 100 Gbps Mellanox HDR InfiniBand. The supercomputer ecosystem also includes 32 large memory nodes, each with 1 TB of RAM, and 16 nodes each with four NVIDIA A100 Tensor Core GPUs providing 1.5 PF of single-precision performance to support machine learning and artificial intelligence applications.
Anvil is funded under NSF award number 2005632. Carol Song is the principal investigator and project director. Preston Smith, executive director of Research Computing, Xiao Zhu, computational scientist and senior research scientist, and Rajesh Kalyanam, data scientist, software engineer, and research scientist, are all co-PIs on the project.
Link to section 'Anvil Specifications' of 'Overview of Anvil' Anvil Specifications
All Anvil nodes have 128 processor cores, 256 GB to 1 TB of RAM, and 100 Gbps Infiniband interconnects.
|Login||Number of Nodes||Processors per Node||Cores per Node||Memory per Node|
|8||Two Milan CPUs @ 2.0GHz||32||512 GB|
|Sub-Cluster||Number of Nodes||Processors per Node||Cores per Node||Memory per Node|
|A||1,000||Two Milan CPUs @ 2.0GHz||128||256 GB|
|B||32||Two Milan CPUs @ 2.0GHz||128||1 TB|
|G||16||Two Milan CPUs @ 2.0GHz + Four NVIDIA A100 GPUs||128||512 GB|
Anvil nodes run CentOS 8 and use Slurm (Simple Linux Utility for Resource Management) as the batch scheduler for resource and job management. The application of operating system patches will occur as security needs dictate. All nodes allow for unlimited stack usage, as well as unlimited core dump size (though disk space and server quotas may still be a limiting factor).