Advanced Research Computing – Technology Services provides access to and support for the use of advanced computing resources that enable powerful approaches to research challenges in a wide range of fields.

WHAT’S NEW

Patches being deployed for Meltdown and Spectre attacks

| Flux, General Interest, Happenings, News | No Comments
On January 3, two major vulnerabilities in computer chips made by Intel, AMD, ARM and others were made public. Collectively, the two issues are being referred to as Meltdown and…

U-M fosters thriving artificial intelligence and machine learning research

| General Interest, HPC, News, Research | No Comments
Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at the University of Michigan.…

Video available from MIDAS Research Forum

| General Interest, Happenings, News, Research | No Comments
Video is now available from the MIDAS Research Forum held Dec. 1 in the Michigan League at http://myumi.ch/6vA3V The forum featured U-M students and faculty showcasing their data science research; a…

Data Science for Music Challenge Initiative RFP released

| Funding Opportunities, General Interest, News, Research | No Comments
The Data Science for Music Challenge Initiative will award four, one-year  grants of up to $75,000 each for research projects at the intersection of music and data science. A two-page…

January 23 @ 10:00 am - 3:00 pm

Android Application Development: Why and How

Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google has stated that over 2 billion devices around the world use the…

January 25 @ 9:00 am - 4:30 pm

Stata 1: Introduction to Stata

Note: Topics are subject to change. Topics: Basics – Interfacing with Stata, Do-files, getting help. Working with Data Sets – Importing, opening, and saving data files. Data Management – Getting…

January 26 @ 2:00 pm - 5:00 pm

Introductory GIS

This workshop will cover introductory GIS concepts, tools, and techniques. We will use ArcGIS to learn basics of GIS by solving 2-3 specific problems. We will use the graphical user…

Latest Twetter Feeds

ARCTS_UM @ARCTS_UM
ARC-TS  @ARCTS_UM
@ByronJSmith Great. If it changes let us know. 
ARC-TS  @ARCTS_UM
We have a few #linux jobs out for people in early / mid and like to work on research infrastructure #jobs https://t.co/IShcxQtng2 
ARC-TS  @ARCTS_UM
@ByronJSmith Bryan sorry to hear that. Scratch got very full over the last week and this impacts performance. We le… https://t.co/JEjb99jaMF 

ARC-TS Highlights

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.

Read the announcement…

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

U-M enjoys successful SC17 conference in Denver

Several University of Michigan researchers and professional IT staff attended the Supercomputing 17 (SC17) conference in Denver from Nov. 12-17, participating in a number of different ways, including demonstrations, presentations and tutorials.

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MDST team

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.

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.

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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.

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