Anvil

Purdue University will soon be the home of Anvil, a powerful new supercomputer that will provide 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.

 

Scientific Highlights

CPU and GPU nodes

Anvil’s CPU and GPU nodes will help accelerate structural predictions and simulations to uncover protein structures of the novel SARS-COV-2 or antibody binding sites in viruses (Richard Kuhn, Purdue Institute of Inflammation Immunology and Infectious Disease)

Large Memory Nodes

Anvil’s large memory nodes and interactive computing capability will help develop and execute big data applications for research and training in Translational Omics (training materials from NIH Big Data to Knowledge, BD2K program, Min Zhang, Purdue Center for Cancer Research)

Complex Physics Models

Anvil’s large number of high-core count CPU nodes will enable and accelerate the kind of mid-scale fluid computations necessary to develop and run complex physics models, such as turbulence models for simulating aircraft-vortex collisions (Carlo Scalo, Xinran Zhao, Purdue Mechanical Engineering, Aeronautics and Astronautics)

Data Science Tools

Anvil’s composable infrastructure and data science tools will enable the deployment of an AI-based Recommender Engine for Intelligent Transient Tracking that can coordinate and strategize follow-up tracking based on near real-time processing of observatory data (Dan Milisavljevic, Purdue Physics and Astronomy)

Interactive Applications

Anvil’s CPU cluster and interactive applications will aid in the multifaceted simulation and visualization of casting processes from the iron and steelmaking industries; which can help address furnace control, stability, and material and energy efficiency considerations (Chenn Zhou, Purdue Center for Innovation through Visualization and Simulation)

Open OnDemand

Anvil’s Open OnDemand interactive applications and large memory nodes will enable the use of photogrammetry and drone mapping Windows desktop tools to construct 3D models of archaeological sites for anthropological research and education (Pix4DMapper generated 3D model using imagery from a Bronze Age fortress in Armenia, Ian Lindsay, Purdue Anthropology)


Anvil is supported by the National Science Foundation under Grant No. 2005632.