Tag Archives: HPC

Protein structure prediction team earns high rankings, supported by ITS, HITS, DCMB

By | February 15, 2023
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CASP15 is a bi-annual competition assessment of methods of protein structure modeling. Independent assessors then compared the models with experiments, and the results and their implications were discussed at the CASP15 Conference, held December 2022, in Turkey. A joint team with members from the labs of Dr. Peter Freddolino and Dr. Yang Zhang took first place in the Multimer and Interdomain Prediction categories,… Read More »

Understanding the strongest electromagnetic fields in the universe

By | February 16, 2022
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A simulation of a plasma laser wake.

Alec Thomas is part of the team from the U-M College of Engineering Gérard Mourou Center for Ultrafast Optical Science that is building the most powerful laser in the U.S. Dubbed “ZEUS,” the laser will be 3-petawatts of power. That’s a ‘3’ with 15 zeros. All the power generated in the entire world is 10-terawatts, or 1000 times less than the ZEUS laser.

New no-cost research computing allocations are now available

By | September 1, 2021
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U-M Research Computing Package

The University of Michigan Research Computing Package (UMRCP), provided by Information and Technology Services, is an investment into the U-M research community via simple, dependable access to several ITS-provided high-performance computing clusters and data storage resources.  University researchers now have access to a base allocation for 80,000 CPU hours of high-performance computing and research storage services (including 10… Read More »

New research computing package supports data-intensive research

By | July 20, 2021
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U-M Research Computing Package

Information and Technology Services has launched a new package of supercomputing resources for researchers and PhD students on all U-M campuses: the U-M Research Computing Package, provided by ITS. The U-M Research Computing Package reduces the current rates for high performance computing and research storage services provided by ITS by an estimated 35-40 percent. The reduction in rates… Read More »

New Resource Management Portal feature for Great Lakes HPC Clusters

By | June 8, 2021
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ARC logo

Advanced Research Computing (ARC), a division of Information and Technology Services (ITS), has been developing a self-service tool called the Resource Management Portal (RMP) to give researchers and their delegates the ability to directly manage the IT research services they consume from ARC.  Customers who use the Great Lakes High-Performance Computing Clusters now have the ability to view… Read More »

ARC, LSA support groundbreaking global energy tracking

By | March 10, 2021
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An aerial view of Kenya at night, with concentrations of green dots that display areas that are electrified.

How can technology services like high-performance computing and storage help a political scientist contribute to more equal access to electricity around the world?  Brian Min, associate professor of political science and research associate professor with the Center for Political Studies, and lead researcher Zachary O’Keeffe have been using nightly satellite imagery to generate new indicators of electricity access… Read More »

DNA sequencing productivity increases with ARC-TS services

By | January 28, 2021
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ARC-TS logo

On the cutting-edge of research at U-M is the Advanced Genomics Core’s Illumina NovaSeq 6000 sequencing platform. The AGC is one of the first academic core facilities to optimize this exciting and powerful instrument, that is about the size of a large laser printer.  The Advanced Genomics Core (AGC), part of the Biomedical Research Core Facilities within the Medical… Read More »

Founded by CoE alum, SambaNova announces AI-accelerated HPC system

By | December 18, 2020
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Kunle Olukotun and SambaNova logo

As artificial intelligence applications grow and multiply, researchers have been racing to design a new generation of hardware that meets the unique computational needs of those applications. The market for these “AI chips” is booming, and a key player in this new space is Palo Alto based SambaNova Systems. SambaNova, now a unicorn valued at over $2.5 billion,… Read More »

HPC allocation for academic use

By | December 7, 2020
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glowing lights and cables from server rack

To support academic discovery, ARC-TS will offer Great Lakes High-Performance Computing Cluster for classroom use for the 2020-2021 academic year. Each course can have $100 per student for HPC, GPU, Jupyter, and RStudio resources. Great Lakes is the university’s flagship, open-science, high-performance computing cluster. Just one second of computing on the Great Lakes network is the same as… Read More »

COVID-19 research leverages machine learning and high-performance computing

By | November 9, 2020
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A researcher in the College of Literature, Science, and the Arts (LSA) is pioneering two separate, ongoing efforts for measuring and forecasting COVID-19: pandemic modeling and a risk tracking site. The projects are led by Sabrina Corsetti, a senior undergraduate student pursuing dual degrees in honors physics and mathematical sciences, and supervised by Thomas Schwarz, Ph.D., associate professor of physics. The modeling uses a machine learning algorithm that can forecast future COVID-19 cases and deaths. The weekly predictions are made using the ARC-TS Great Lakes High-Performance Computing Cluster, which provides the speed and dexterity to run the modeling algorithms and data analysis needed for data-informed decisions that affect public health. Each week, 51 processes (one for each state and one for the U.S.) are run in parallel (at the same time). “Running all 51 analyses on our own computers would take an extremely long time. The analysis places heavy demands on the hardware running the computations, which makes crashes somewhat likely on a typical laptop. We get all 51 done in the time it would take to do 1,” said Corsetti. “It is our goal to provide accurate data that helps our country.” The predictions for the U.S. at the national and state levels are fed into the COVID-19 Forecasting Hub, which is led by the UMass-Amherst Influenza Forecasting Center of Excellence based at the Reich Lab. The weekly predictions generated by the hub are then read out by the CDC for their weekly forecast updates Center for Disease Control (CDC) COVID-19 Forecasting Hub. The second project, a risk tracking site, involves COVID-19 data-acquisition from a Johns Hopkins University repository and the Michigan Safe Start Map. This is done on a daily basis, and the process runs quickly. It only takes about five minutes, but the impact is great. The data populates the COVID-19 risk tracking site for the State of Michigan that shows by county the total number of COVID-19 cases, the average number of new cases in the past week, and the risk level. “Maintaining the risk tracking site requires us to reliably update its data every day. We have been working on implementing these daily updates using Great Lakes so that we can ensure that they happen at the same time each day. These updates consist of data pulls from the Michigan Safe Start Map (for risk assessments) and the Johns Hopkins COVID-19 data repository (for case counts),” remarked Corsetti. “We are proud to support this type of impactful research during the global pandemic,” said Brock Palen, director of Advanced Research Computing - Technology Services. “Great Lakes provides quicker answers and optimized support for simulation, machine learning, and more. It is designed to meet the demands of the University of Michigan’s most intensive research.” ARC-TS is a division of Information and Technology Services (ITS). Related information U-M senior’s COVID-19 data model reaches CDC Student’s COVID-19 data model reaches CDC

A researcher in the College of Literature, Science, and the Arts (LSA) is pioneering two separate, ongoing efforts for measuring and forecasting COVID-19: pandemic modeling and a risk tracking site.  The projects are led by Sabrina Corsetti, a senior undergraduate student pursuing dual degrees in honors physics and mathematical sciences, and supervised by Thomas Schwarz, associate professor of… Read More »

Bring the power of the HPC clusters to your laptop

By | October 2, 2020
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glowing lights and cables from server rack

Open OnDemand (OOD) is a tool that brings to researchers and students the power of Great Lakes, the university’s flagship open-science, high-performance, computing cluster.  Open OnDemand is a way for researchers and students to use a web interface to access the Advanced Research Computing – Technology Services (ARC-TS) Great Lakes and Lighthouse High-Performance Computing (HPC) resources. Because users… Read More »

3-2-1…blast off! COE students use ARC-TS HPC clusters for rocket design

By | August 31, 2020
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The MASA team

The Michigan Aeronautical Science Association (MASA) is a student-run engineering team at U-M that has been designing, building, and launching rockets since its inception in 2003. Since late 2017, MASA has focused on developing liquid-bipropellant rockets—which are rockets that react to a liquid fuel with a liquid oxidizer to produce thrust—in an effort to remain at the forefront… Read More »

$5.2M for digital twins of nuclear reactors could bring down nuclear energy costs

By | May 26, 2020
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Safe and more affordable nuclear energy is the goal of a new project led by the University of Michigan, bringing together researchers who specialize in nuclear energy technology and computer science. The study, which will develop AI-enhanced “digital twins” of nuclear reactors, is funded with a three-year, $5.2 million grant from the Advanced Research Projects Agency–Energy. The project… Read More »

CoderSpaces are weekly data science hubs

By | January 28, 2020
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close up of computer screen with code

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 »

Network file transfer speed reaches 100Gbps

By | December 13, 2019
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100 Gbps network transfer speed

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 »

ARC-TS extends free pilot periods for Great Lakes, Armis2

By | December 10, 2019
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server rack

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 »

Armis2 high-performance computing cluster now available

By | October 30, 2019
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server racks

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 »

Great Lakes HPC cluster available for general access

By | August 26, 2019
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server rack

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 »

Great Lakes update: March 2019

By | March 21, 2019
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server rack

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 »