WHAT’S NEW

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…

MICDE awards seven Catalyst Grants

| General Interest, Happenings, News, Research | No Comments
The Michigan Institute for Computational Discovery and Engineering has awarded its second round of Catalyst Grants, providing between $80,000 and $90,000 each to seven innovative projects in computational science. The…

CASC image competition open for submissions

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The image competition for the Coalition for Academic Scientific Computation (CASC) 2019 annual brochure is now open. Winning images will be featured in the brochure, which is distributed to industry,…

Singularity updated on the Flux and Armis clusters

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The latest stable version of Singularity has been deployed on the ARC-TS clusters. Singularity version 2.5.0 release includes fixes for several high and medium severity security issues. Full release notes can…

May 24 @ 2:00 pm - 5:00 pm

Geospatial analysis with Google Earth Engine

Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data…

May 31 @ 9:00 am - 4:30 pm

Introduction to SPSS

Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. Note: Topic order is subject…

June 11 @ 10:00 am - 12:00 pm

Introduction to Deep Neural Networks with Keras/Tensorflow

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries,…

June 15 @ 2:00 pm - 4:45 pm

Classification, Regression and Model Selection using Python’s Scikit-learn

This workshop will introduce participants to machine learning in Python. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the…

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Restarting moab on Flux 

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…