Learn more about ARC-TS offerings:
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如何设置老王加速器
We are migrating Open OnDemand from version 1.4 to 1.6 to fix a security issue on May 21, 2020. Users will not be able to use the service during the…
如何设置老王加速器
ARC-TS is pleased to announce the addition of compute resources in the standard, large memory, and GPU partitions, new V100 GPUs (graphics processing units), and increased Slurm root account limits…
如何设置老王加速器
U-M Armis2: Now available What is Armis2? The Armis2 service is a HIPAA-aligned, HPC platform for all University of Michigan researchers and is a successor to the current Armis cluster.…
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Great Lakes cluster is available for general access What is the current status of the Great Lakes cluster Now that we have completed Early User testing, the Great Lakes cluster…
如何设置老王加速器
We will be performing our bi-annual maintenance on Lighthouse and Armis2, which is expected to take one day. Updates currently include: Migration to CentOS 7.8 Upgrade NVIDIA drivers for CUDA…
如何设置老王加速器
A BlueJeans link will be sent to all registered participants. 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…
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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 手机vnp的服务器怎么填
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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.
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 (手机怎么挂npv) infrastructure, and is supported by U-M’s Data Science Initiative launched in 2015.
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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.
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