Do you write code for research or class? Do you sometimes get stuck? Are you just starting to learn how to code? Hosted by members of the U-M community, CoderSpaces are there for you to meet other coders and learn from your coder peers. Participation is open to anyone interested in writing code for computational social science, data… Read More »
One hundred gigabits per second (Gbps) is the new standard for network speeds when transferring files from the Great Lakes high-performance computing cluster to the Turbo Research Storage service. Why is this significant? Usually network speeds for file transfers are 1Gbps. That’s perfectly fine for most people’s needs. But reaching speeds of 100Gbps represents a new, higher level… Read More »
Advanced Research Computing — Technology Services (ARC-TS) provides advanced, high-performance computing resources to U-M researchers. They recently announced the extension of the free pilot periods for two of its most recently added services: the Great Lakes cluster and the HIPAA-aligned Armis2 cluster. The free pilot for both services has been extended to January 5, 2020. Billing begins on… Read More »
The Armis2 service is the go-to cluster for sensitive data, and is available to all U-M researchers. Key features of Armis2 HIPAA-aligned 24 standard nodes using the Intel Haswell-processor, each with 24 cores. More capacity will be added soon Slurm provides the resource manager and scheduler The scratch storage system will provide high-performance temporary storage for compute jobs.… Read More »
Information and Technology Services is happy to announce that ARC-TS is rolling out the Great Lakes high-performance computing cluster. It is now available for general access to the university community. Until the migration from Flux is complete on November 25, 2019, there will be no charge for using the Great Lakes HPC cluster. Every current Flux user can… Read More »
The Great Lakes service is a next generation HPC platform for U-M researchers that will provide several performance advantages compared to Flux, primarily in the areas of storage and networking. ARC-TS recently shared additional details surrounding the timeline for Great Lakes as well as information about Early User testing. What is the current status of Great Lakes? Today, the… Read More »
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 program at https://womeninhpc.org/2019/03/mentoring-programme-2019/ WHPC was created with the vision to encourage women to participate in the HPC community by providing fellowship, education, and support to women and the organizations… Read More »
The Great Lakes service is a next generation HPC platform for U-M researchers that will provide several performance advantages compared to Flux, primarily in the areas of storage and networking. Great Lakes is built around the latest Intel CPU architecture called Skylake, and will have standard, large memory, visualization, and GPU-accelerated nodes. For more information on the technical aspects of… Read More »
The emerging field of genomic analysis is on the cusp of revolutionizing the understanding of diseases and the methods for their treatment and prevention. However, current DNA analysis is restricted to using limited data due to the large time and cost for Whole Genome Sequencing (WGS), restricting progress. As biochemical sequencing is getting faster and cheaper, the bottleneck… Read More »
New HPC resources to replace Flux and updates to Armis will run a new scheduling system (Slurm). Users will need to learn the commands in this system and update batch files to successfully run jobs. Slurm is expected to bring performance gains, better user communications, and increased reliability that will significantly improve the efficiency and effectiveness of the… Read More »
U-M has selected Dell EMC as lead vendor to supply its new $4.8 million Great Lakes computing cluster, which will serve researchers across campus. Mellanox Technologies will provide networking solutions, and DDN will supply storage hardware. Great Lakes will be available to the campus community in the first half of 2019, and over time will replace the Flux… Read More »
The University of Michigan is part of an NSF-supported 17-university coalition dedicated to creating next-generation computing power to support high-energy physics research. Led by Princeton University, the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) will focus on developing software and expertise to enable a new era of discovery at the Large Hadron Collider… Read More »
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 us to reach an ever-increasing community of women, provide these women with the networks that we recognize are essential for them excelling in their career, and retaining them… Read More »
Advanced Research Computing – Technology Services (ARC-TS) is starting the process of creating a new, campus-wide computing cluster, “Great Lakes,” that will serve the broad needs of researchers across the university. Over time, Great Lakes will replace Flux, the shared research computing cluster that currently serves over 300 research projects and 2,500 active users. The existing Flux cluster… Read More »
A series of training workshops in high performance computing will be held Feb. 12 through March 6, 2018, presented by CSCAR in conjunction with Advanced Research Computing – Technology Services (ARC-TS). Introduction to the Linux command Line This course will familiarize the student with the basics of accessing a–nd interacting with Linux computers using the GNU/Linux operating system’s Bash shell,… Read More »
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… Read More »
An expanded data science computing platform from ARC-TS gives all U-M researchers new capabilities to host structured and unstructured databases, and to ingest, store, query, and analyze large datasets.