WHAT’S NEW

New course for fall 2018: On-Ramp to Data Science for Chemical Engineers

| Educational, General Interest, Happenings, News | No Comments
Description: Engineers are encountering and generating a ever-growing body of data and recognizing the utility of applying data science (DataSci) approaches to extract knowledge from that data. A common barrier to…

University of Michigan awarded Women in High Performance Computing chapter

| General Interest, News | No Comments
The University of Michigan has been recognized as one of the first Chapters in the new Women in High Performance Computing (WHPC) Pilot Program. “The WHPC Chapter Pilot will enable…

MIDAS researchers’ papers accepted at ACM KDD data science conference in London

| General Interest, Happenings, News, Research | No Comments
Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery's Special Interest Group in…

Cluster and storage maintenance set for Aug. 5-9

| Flux, General Interest, Happenings, HPC, News | No Comments
To accommodate updates to software, hardware, and operating systems, Flux, Armis, ConFlux, Flux Hadoop, and their storage systems (/home and /scratch) will be unavailable starting at 9 a.m. Sunday, August…

August 28 @ 2:00 pm - 4:30 pm

Geostatistical modeling

Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to…

September 13 @ 9:00 am - 2:00 pm

Data-Intensive Social Science Challenge Symposium

Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the…

Latest Twetter Feeds

ARCTS_UM @ARCTS_UM

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.

Read more…

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.

Read more…

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.

Read more…