Learn more about ARC-TS offerings:
WHAT’S NEW
H.V. Jagadish has been appointed director of the Michigan Institute for Data Science (MIDAS), effective February 15, 2019. Jagadish, the Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer…
Flux, Beta, Armis, Cavium, and ConFlux, and their storage systems (/home and /scratch) are back online after three days of maintenance. The updates that have been completed will improve the…
Motivated by Ceph usage in the OSiRIS project, the University of Michigan has joined the Ceph Foundation as an Associate Member. We join other educational, government, and research organizations engaged in…
What is Great Lakes? The Great Lakes service is a next generation HPC platform for University of Michigan researchers. Great Lakes will provide several performance advantages compared to Flux, primarily…
January 24 @ 4:30 pm - 5:30 pm
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who…
January 25 @ 9:30 am - 4:00 pm
Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your…
January 28 @ 4:00 pm - 5:30 pm
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who…
January 29 @ 2:00 pm - 4:00 pm
This workshop will cover fitting generalized linear models (GLMs) in Python, using the Statsmodels package. We will cover logistic regression, but the majority of the time we will focus on…
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.
