Learn more about ARC-TS offerings:
WHAT’S NEW
ARC-TS previously shared much of this information through the December 2018 ARC Newsletter and on the ARC-TS website. We have added some additional details surrounding the timeline for Great Lakes…
Women in High Performance Computing (WHPC) has launched a year-round mentoring program, providing a framework for women to provide or receive mentorship in high performance computing. Read more about the…
Jesse Capecelatro, assistant professor of Mechanical engineering and MICDE affiliated faculty member, has been awarded an NSF CAREER grant for his project "Toward Understanding and Modeling Turbulent Reacting Particle-Laden Flows.
Dr. Sharon Broude Geva, Director of Advanced Research Computing at U-M, was one of four women profiled in HPCWire's "Celebrating Women in Science" article. Read the piece at https://www.hpcwire.com/2019/02/11/women-science-leading-the-way-in-hpc/
April 1 @ 3:30 pm - 5:00 pm
This event is open to the public. Daniel Forger, Professor of Mathematics and Computational Medicine and Bioinformatics James Kibbie, Professor of Music and Chair of the Organ Department, University Organist…
April 2 @ 2:00 pm - 4:00 pm
This is a three-session workshop on the use of Go for data processing. Go is an open source language developed for general-purpose programming. It is not more difficult to learn…
April 10 @ 8:00 am - 5:00 pm
The MICDE 2019 Symposium will feature eminent scientists from around the world and the U-M campus.
April 12 @ 1:30 pm - 5:00 pm
This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network, but the ideas and techniques apply to…
ARC-TS Highlights
ARC-TS Year in Review
FY 2018-2019
Read about the progress ARC-TS has made in the past year in providing advanced computing resources and support to researchers across campus, including development of the new Great Lakes HPC cluster. View or download PDF.
U-M partners with Cavium on Big Data computing platform
A new partnership between the University of Michigan and Cavium Inc., a San Jose-based provider of semiconductor products, will create a powerful new Big Data computing cluster available to all U-M researchers.
The $3.5 million ThunderX computing cluster will enable U-M researchers to, for example, process massive amounts of data generated by remote sensors in distributed manufacturing environments, or by test fleets of automated and connected vehicles.
The cluster will run the Hortonworks Data Platform providing Spark, Hadoop MapReduce and other tools for large-scale data processing.
U-M participates in SC18 conference in Dallas
Several University of Michigan researchers and professional IT staff attended the Supercomputing 18 (SC18) conference in Dallas in November, participating in a number of different ways, including demonstrations, presentations and tutorials.
Learn about data science infrastructure and consulting resources
ARC-TS Director Brock Palen and CSCAR Director Kerby Shedden speak at the MIDAS 2017 Research Forum
Flux cluster available to undergraduates
Service available at no cost
Under ARC-TS’s new Flux for Undergraduates program, student groups and individuals with faculty sponsors can access Flux for free.
ARC-TS Overview and Update on Storage Services and Development of the Great Lakes HPC Cluster
ARC-TS Director Brock Palen speaks at a DDN Storage event at the SC18 conference in Dallas.
Yottabyte Research Cloud able to accept HIPAA-aligned data
ARC-TS is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now HIPAA-compliant. This means that YBRC and its associated services can accept restricted data, enabling secure data analysis on Windows and Linux virtual desktops as well as secure hosting of databases and data ingestion.
The new capability ensures the security of restricted data through the creation of firewalled network enclaves, allowing HIPAA-aligned data to be analyzed safely and securely in YBRC’s flexible, robust and scalable environment. Within each network enclave, researchers have access to Windows and Linux virtual desktops that can contain any software required for their analysis pipeline.
ARC-TS expands data-science platform
ARC-TS has expanded its data science computing platform, giving all U-M researchers new capabilities to host structured and unstructured databases, and to ingest, store, query and analyze large datasets.
The new platform features a flexible, robust and scalable database environment, and a set of data pipeline tools that can ingest and process large amounts of data from sensors, mobile devices and wearables, and other sources of streaming data. The platform leverages the advanced virtualization capabilities of ARC-TS’s Yottabyte Research Cloud (YBRC) infrastructure, and is supported by U-M’s Data Science Initiative launched in 2015.
