Memory chip company SK hynix announced it will invest $3.87 billion in West Lafayette, Indiana to build an advanced packaging fabrication and R&D facility for AI products. The project, which the company said is the first of its kind in the U.S., will be an advanced….
Purdue Announces GPU Expansion of Gilbreth HPC Cluster
April 28, 2023 by
April 27, 2023, West Lafayette, IN — The Rosen Center for Advanced Computing (RCAC) at Purdue University has added 104 new NVIDIA A100 GPUs to the Gilbreth community HPC cluster. Based on Dell PowerEdge R7525 compute nodes with .5 TB of RAM, two Nvidia A100 Tensor Core GPUs, and 100 Gbps HDR Infiniband, this expansion […]
Purdue Computes Initiative Includes Institute of Physical AI and Semiconductor Facilities Expansion
April 14, 2023 by
WEST LAFAYETTE, Ind., April 14, 2023 – Purdue University has announced Purdue Computes, an initiative consisting of three dimensions. The first pillar of Purdue Computes is investment in Purdue’s computing faculty: The Department of Computer Science, which became America’s first such department 60 years ago and today offers degrees including computer science, data science and […]
Purdue’s Anvil HPC System Now at Full Capacity
March 10, 2022 by
WEST LAFAYETTE, Ind., March 10, 2022 — Purdue University’s supercomputing power has leveled up in strength and speed with its new Anvil supercomputer. The new capacity will allow Purdue to contribute to the nation’s 21st- century research agenda by simultaneously powering scientific computational and data-driven tools at multiple universities. Having begun operations in November, Anvil is […]
Dell Technologies Interview: How the Anvil Cluster Supports Purdue and NSF XSEDE Researchers – Including Non-Traditional HPC Users
December 23, 2021 by
In this interview conducted on behalf of Dell Technologies, insideHPC spoke with Carol Song, who leads the Scientific Solutions Group at Purdue University’s Rosen Center for Advanced Computing and is a senior research scientist for Information Technology at Purdue (ITaP) Research Computing. Song is the principal investigator (PI) and project director for Purdue’s Anvil supercomputing cluster, built in partnership with Dell.
Purdue Engineers Developing Switch for Quantum Internet
March 2, 2021 by
Purdue University says engineers there have made progress on a new switch designed to enable a quantum internet supporting quantum computers of the future. The method, demonstrated in a paper published in Optica, could help lay the groundwork for large numbers of quantum computers, quantum sensors and other quantum technology going online and communicating with each […]
Purdue’s ‘Anvil’ to Be Driven by Dell, AMD ‘Milan’ CPUs, Nvidia A100 Tensor Core GPUs
June 8, 2020 by
Another in a series of National Science Foundation supercomputing awards has been announced, this one a $10 million funding for a system to be housed at Purdue University to support HPC and AI workloads and scheduled to enter production next year. The system, dubbed Anvil, will be built in partnership with Dell and AMD and […]
New material could make AI more energy efficient
May 7, 2020 by
Researchers have developed hardware that can learn skills using a type of AI that currently runs on software platforms. Sharing intelligence features between hardware and software would offset the energy needed for using AI in more advanced applications such as self-driving cars or discovering drugs. “Through simulations of the properties discovered in this material, the team showed that the material is capable of learning the numbers 0 through 9. The ability to learn numbers is a baseline test of artificial intelligence.”
Purdue Supercomputer Gets Second Life in Colombia
March 30, 2017 by
“Besides trying to identify likely drug targets for new HIV treatments, EAFIT’s first supercomputer, named Apolo, is being used for everything from earthquake science in a country regularly shaken by tremors, to a groundbreaking examination of the tropical disease leishmaniasis, to the most “green” way of processing cement. The machine speeds the time to science for Colombian researchers and lets them tackle bigger problems.”
Exascale Computing Project Selects Co-Design Center for Graph Analytics
March 3, 2017 by
The Exascale Computing Project (ECP) has selected its fifth Co-Design Center to focus on Graph Analytics — combinatorial (graph) kernels that play a crucial enabling role in many data analytic computing application areas as well as several ECP applications. Initially, the work will be a partnership among PNNL, Lawrence Berkeley National Laboratory, Sandia National Laboratories, and Purdue University.
