WHAT’S NEW

Modular Data Center Electrical Work

| Flux, Systems and Services, Uncategorized | No Comments
The MDC electrical work was completed successfully and Flux has been returned to full production.   The Modular Data Center (MDC), which houses Flux, Flux Hadoop, and other HPC resources,…

Great Lakes Update: March 2019

| Flux, General Interest, Great Lakes, Happenings, HPC, News | No Comments
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 HPC launches mentoring program

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

Capecelatro wins NSF CAREER award for work on modeling turbulent reacting particle-laden flows

| General Interest, Happenings, News, Research | No Comments
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.

May 28 @ 2:00 pm - 4:00 pm

Simulation studies in Python

Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies,  which is one focus for this workshop. …

May 30 @ 1:00 pm - 4:30 pm

Introduction to GIS

This workshop will cover introductory GIS concepts, tools, and techniques. We will use QGIS (and ArcGIS) and learn the basics of vector- and network-data GIS by solving problems.  You will also…

May 31 @ 1:00 pm - 4:30 pm

Introduction to the Great Lakes cluster and batch computing with SLURM

This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions…

June 4 @ 2:00 pm - 4:00 pm

Multiple testing and large-scale inference in Python

This workshop will cover techniques for conducting large-scale inference, using Python and its libraries.  We will cover the principals of how large scale inference is different from classical inference, and…

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.

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

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…

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.

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.

Read more…