WHAT’S NEW

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…

Yottabyte Research Cloud able to accept HIPAA-aligned data

| General Interest, HPC, News | No Comments
Advanced Research Computing - Technology Services (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…

ARC Director Sharon Broude Geva re-elected vice-chair of Coalition for Academic Scientific Computing

| General Interest, News | No Comments
Sharon Broude Geva, the Director of Advanced Research Computing at the University of Michigan, has been re-elected vice-chair of the Coalition for Academic Scientific Computation (CASC). Founded in 1989, CASC advocates…

U-M wraps up successful SC17 conference

| General Interest, Happenings, HPC, News | No Comments
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…

January 2, 2018 @ 7:00 am - January 5, 2018 @ 11:30 pm

Winter 2018 Maintenance

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 7 a.m. Tuesday, January…

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Moab on Armis is being restarted to allow for the addition of additional compute nodes. 
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Moab on Flux is being restarted to allow for data caching 

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…

ARC-TS Associate Director Brock Palen talks about ConFlux cluster

At OpenPOWER Summit

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…