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"/European-HTCondor-Week.html": {"title": "Save The Date for the European HTCondor Workshop, September 24-27"}, "/index.html": {"title": "Home"}, "/events/2022/11/gpu-ml-demo.html": {"title": "GPU/Machine Learning Demo"}} \ No newline at end of file diff --git a/preview-update-submodules/collaborations-epic-eic.html b/preview-update-submodules/collaborations-epic-eic.html new file mode 100644 index 000000000..ddd44ecc8 --- /dev/null +++ b/preview-update-submodules/collaborations-epic-eic.html @@ -0,0 +1,363 @@ + + + + + + +Collaborations Between Two National Laboratories and the OSG Consortium Propel Nuclear and High-Energy Physics Forward + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ +
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+
+
+

+ Collaborations Between Two National Laboratories and the OSG Consortium Propel Nuclear and High-Energy Physics Forward +

+
+ Electron Beam Ion Source / Brookhaven National Laboratory +
Electron Beam Ion Source / Brookhaven National Laboratory
+
+



Seeking to unlock the secrets of “the glue” binding visible matter in the universe, the ePIC Collaboration stands at the forefront of innovation. Led by a collective of hundreds of scientists and engineers, the Electron-Proton/Ion Collider (ePIC) Collaboration was formed to design, build, and operate the first experiment at the Electron-Ion Collider (EIC). This experiment aims to construct the world’s most advanced particle detector, capable of analyzing collisions between electrons and protons or other atomic nuclei.

+ +

“They are building a detector that can slide seamlessly into EIC’s infrastructure. When these collisions occur, they will capture a wealth of physics data that advances our understanding of high-energy nuclear interactions. The outcomes of these collisions allow us to explore new frontiers in physics” reports Pascal Paschos, the OSG Consortium Facilitator who supports the work of ePIC. Paschos oversees the collaborations’ access to computational capacity necessary to conduct these experiments.

+ +

The EIC, developed by the collaboration between Brookhaven National Lab (BNL) and Jefferson Lab (JLab), will be the world’s first electron-nucleus collider of its kind. It features two intersecting accelerators—one generating a powerful polarized electron beam and the other a high-energy beam of polarized protons or heavier atomic nuclei. However, ePIC faces the challenge of validating the detector design for integration with the EIC. Paschos explains, “To validate the detector design, throughput capacity is required to model and experimentally simulate the detector. The goal is to evaluate how the detector would respond to signals generated from theoretical collisions included in their parameter files.”

+ +

“This project isn’t new,” adds Dr. Wouter Deconinck, associate professor at the University of Manitoba and Deputy Software and Computing Coordinator (SCC) for Operations at ePIC. “Concepts for an electron-ion collider have been in development for 20 or 30 years, aiming to include a polarized ion beam.” Drawing on his experience at the HERA electron-proton collider and post-graduate work in electron polarimetry, Deconinck, alongside BNL postdoctoral fellow Sakib Rahman, explains, “Since 2008, we’ve been evaluating the computing and software stacks needed for an electron-ion collider. Planning for operation into the 2030s necessitates future-proof and modular development to incorporate emerging technologies.”

+ +

Achieving a unified system is one important goal for the project. ePIC requires an infrastructure capable of simulating and gathering essential data for their design. One option was the OSPool, a shared computing capacity available to researchers affiliated with US academic institutions. Deconinck and Rahman considered other computing infrastructures for these simulation jobs. Deconinck notes, “We evaluated the OSPool and compared it with the EIC pool of resources available at JLab, BNL and the Digital Research Alliance of Canada (the Alliance.) Both pools were capable of handling about 2,000 jobs at a time.” Ultimately selecting the OSPool, Deconinck notes,“We saw it as a way to convince JLab to allocate jobs to the OSPool indirectly, transferring jobs to the Alliance, and continuing to submit to the OSPool. The primary advantage was achieving a unified interface across all these sites.”

+ +

Rahman also emphasizes OSPool’s role in the integrated system, stating, “Previously, someone had to create accounts on every site to submit jobs. Now, running production campaigns, others need an account on one PATh operated Access Point, with their work credited to ePIC. This detachment from individual operators and alignment with the project as a whole significantly reduces onboarding time.”

+ +

Scalability is also an essential requirement of the project. “Typically, we consider the time to simulate one event, estimated at 10-15 seconds per event using standard computing software,” Deconinck explains. “Based on this and statistical projections for the number of events to analyze, we calculate our total computing needs. For each reaction channel, we typically examine 5 to 10-20 million events to determine if a detector configuration yields desired results.”

+ +

Deconinck also reports that “One aspect I found immensely valuable was the initial interaction with the OSPool. Upon setting up an account, I received personalized attention from the OSG Research Computing Facilitation team, with someone guiding me through the process and inquiring about my approach. What truly made a significant impact were the office hours provided. There were weeks where I attended these sessions twice, and without fail, there was always someone available to offer assistance and feedback. This support was instrumental in getting us started.”

+ +

The OSPool enables Deconinck, Rahman, and teams to collaborate seamlessly worldwide in partnership with 173 institutions. “The engagement of ePIC with the OSG fabric of services brings two major laboratories into the fold, helping coordinate between them for the delivery of science,” adds Paschos. “The collaboration itself extends beyond individual PIs aiming to advance scientific outcomes; it encompasses engagement at all levels, from technical teams to geographically diverse points of interest.”

+ +

Collaboration is the cornerstone of success in multi-institutional projects like these. The synergy between the OSPool, two major national laboratories, and international teams exemplifies the power of collective effort in propelling physics science forward. Overcoming challenges and achieving groundbreaking discoveries requires a village of dedicated scientists, engineers, and collaborators from diverse backgrounds. Much like the “glue” binding visible matter, teamwork unites the ePIC Collaboration, magnifying their impact beyond the lab. Their journey powered by the OSPool capacity underscores the transformative power of cooperation and sharing in unraveling the mysteries of our universe.

+ +
+
+
+
+
+ + + + + + + + + diff --git a/preview-update-submodules/fellowships/index.html b/preview-update-submodules/fellowships/index.html index f511eb4c0..bbf4a66b4 100644 --- a/preview-update-submodules/fellowships/index.html +++ b/preview-update-submodules/fellowships/index.html @@ -232,14 +232,14 @@

-
+
- Headshot for Patrick Brophy + Headshot for Ryan Boone
@@ -248,30 +248,24 @@

- Patrick Brophy + Ryan Boone

-
Mentor(s):
Haoming Meng
+
Mentor(s):
Cole Bollig and Rachel Lombardi
-

Expanded Pelican Origin Monitoring

+

Grid Exerciser

-

The Pelican origin service is responsible for exporting objects in the backend -storage to the data federation. As it is the “entry point” for the data, understanding -the load on the origin and its activities is key to keeping the federation healthy.
-Pelican takes monitoring data from the web server component and feeds it into the popular -Prometheus software to store time series about the activity. This project would focus on:

-
    -
  • Implementing new monitoring probes to complement the existing information.
  • -
  • Forwarding the raw, unsummarized data to an ElasticSearch database for further analysis.
  • -
  • Designing visualizations to provide administrators with an overview of the origin’s activities.
  • -
  • Implementing alerts when there are health issues with the origin.
  • -
- -

After a successful summer, the student fellow will gain skills in using the Go -language, the Prometheus monitoring system (and other Cloud Native technologies), and web design.

+

The OSPool is a very large, very dynamic, heterogenous high throughput system composed of execute +points from dozens of campuses all over the United States. Sometimes, something will go wrong +at one of these many sites, or one network, or one storage point, and it is difficult to determine +where the problem is. This project proposed the design and construction of a “Grid Exerciser”, +which consists of intentionally sending sample jobs to targetted locations on the OSPool to verify +correct operation and sufficient performance. The project will also have a reporting and +visualization component so that the voluminous results can be understood by a human in a +concise manner.

diff --git a/preview-update-submodules/index.html b/preview-update-submodules/index.html index c7f5e3edc..3a6513827 100644 --- a/preview-update-submodules/index.html +++ b/preview-update-submodules/index.html @@ -251,10 +251,6 @@
- - HTC Week 2024 Photos - -

@@ -270,8 +266,8 @@

@@ -287,7 +283,7 @@

- NOAA Sonar Banner + HTC Week 2024 Photos @@ -305,8 +301,8 @@

@@ -373,10 +369,6 @@

News

- - HTC Week 2024 Photos - -

@@ -392,8 +384,8 @@

@@ -409,7 +401,7 @@

- NOAA Sonar Banner + HTC Week 2024 Photos @@ -427,8 +419,8 @@

diff --git a/preview-update-submodules/news.html b/preview-update-submodules/news.html index 79155b9b6..129b950bd 100644 --- a/preview-update-submodules/news.html +++ b/preview-update-submodules/news.html @@ -260,6 +260,8 @@

Featured News

+ + @@ -500,6 +502,34 @@

Read about some of CHTC’s latest news and projects:

+ + + +
diff --git a/preview-update-submodules/projects.html b/preview-update-submodules/projects.html index 80e2ab7a9..6e1aab8e1 100644 --- a/preview-update-submodules/projects.html +++ b/preview-update-submodules/projects.html @@ -276,32 +276,32 @@

 

-

xDD project and Shanan Peters

+

Natalia de Leon

- Shanan Peters, project lead for xDD, Dean L. Morgridge Professor of Geology, Department of Geoscience.

Shanan’s primary research thrust involves quantifying the spatial and temporal distribution of rocks in the Earth’s crust in order to constrain the long-term evolution of life and Earth’s surface environment. Compiling data from scientific publications is a key component of this work and Peters and his collaborators are developing machine reading systems deployed over the xDD digital library ad cyberinfrastructure hosted in the CHTC for this purpose. + Natalia de Leon, Professor of Agronomy, Department of Agronomy.

The goal of her research is to identify efficient mechanisms to better understand the genetic constitution of economically relevant traits and to improve plant breeding efficiency. Her research integrates genomic, phenomic, and environmental information to accelerate translational research for enhanced sustainable crop productivity.

 

- +
-

Natalia de Leon

+

xDD project and Shanan Peters

- Natalia de Leon, Professor of Agronomy, Department of Agronomy.

The goal of her research is to identify efficient mechanisms to better understand the genetic constitution of economically relevant traits and to improve plant breeding efficiency. Her research integrates genomic, phenomic, and environmental information to accelerate translational research for enhanced sustainable crop productivity. + Shanan Peters, project lead for xDD, Dean L. Morgridge Professor of Geology, Department of Geoscience.

Shanan’s primary research thrust involves quantifying the spatial and temporal distribution of rocks in the Earth’s crust in order to constrain the long-term evolution of life and Earth’s surface environment. Compiling data from scientific publications is a key component of this work and Peters and his collaborators are developing machine reading systems deployed over the xDD digital library ad cyberinfrastructure hosted in the CHTC for this purpose.

 

- +
@@ -356,76 +356,76 @@

 

-

Biomagnetic Resonance Data Bank

+

CMS LHC Compact Muon Solenoid

- The Biomagnetic Resonance Data Bank (BMRB) is headquarted within UW-Madison's National Magnetic Resonance Facility at Madison (NMRFAM) and uses the CHTC for research in connection with the Biological Magnetic Resonance Data Bank (BMRB). - + The UW team participating in the Compact Muon Solenoid (CMS) experiment analyzes petabytes of data from proton-proton collisions in the Large Hadron Collider (LHC). We use the unprecedented energies of the LHC to study Higgs Boson signatures, Electroweak Physics, and the possibility of exotic particles beyond the Standard Model of Particle Physics. Important calculations are also performed to better tune the experiment's trigger system, which is responsible for making nanosecond-scale decisions about which collisions in the LHC should be recorded for further analysis.

 

- +
-

CMS LHC Compact Muon Solenoid

+

Atlas Experiment

- The UW team participating in the Compact Muon Solenoid (CMS) experiment analyzes petabytes of data from proton-proton collisions in the Large Hadron Collider (LHC). We use the unprecedented energies of the LHC to study Higgs Boson signatures, Electroweak Physics, and the possibility of exotic particles beyond the Standard Model of Particle Physics. Important calculations are also performed to better tune the experiment's trigger system, which is responsible for making nanosecond-scale decisions about which collisions in the LHC should be recorded for further analysis. + Atlas Experiment

 

- +
-

Atlas Experiment

+

Barry Van Veen

- Atlas Experiment + The bio-signal processing laboratory develops statistical signal processing methods for biomedical problems. We use CHTC for casual network modeling of brain electrical activity. We develop methods for identifying network models from noninvasive measures of electric/ magnetic fields at the scalp, or invasive measures of the electric fields at or in the cortex, such as electrocorticography. Model identification involves high throughput computing applied to large datasets consisting of hundreds of spatial channels each containing thousands of time samples.

 

- +
-

Phil Townsend

+

Biomagnetic Resonance Data Bank

- Professor Phil Townsend of Forestry and Wildlife Ecology says Our research (NASA & USDA Forest Service funded) strives to understand the outbreak dynamic of major forest insect pests in North America through simulation modeling. As part of this effort, we map forest species and their abundance using multi-temporal Landsat satellite data. My colleagues have written an automatic variable selection routine in MATLAB to preselect the most important image variables to model and map forest species abundance. However, depending on the number of records and the initial variables, this process can take weeks to run. Hence, we seek resources to speed up this process. + The Biomagnetic Resonance Data Bank (BMRB) is headquarted within UW-Madison's National Magnetic Resonance Facility at Madison (NMRFAM) and uses the CHTC for research in connection with the Biological Magnetic Resonance Data Bank (BMRB). +

 

- +
-

Barry Van Veen

+

Phil Townsend

- The bio-signal processing laboratory develops statistical signal processing methods for biomedical problems. We use CHTC for casual network modeling of brain electrical activity. We develop methods for identifying network models from noninvasive measures of electric/ magnetic fields at the scalp, or invasive measures of the electric fields at or in the cortex, such as electrocorticography. Model identification involves high throughput computing applied to large datasets consisting of hundreds of spatial channels each containing thousands of time samples. + Professor Phil Townsend of Forestry and Wildlife Ecology says Our research (NASA & USDA Forest Service funded) strives to understand the outbreak dynamic of major forest insect pests in North America through simulation modeling. As part of this effort, we map forest species and their abundance using multi-temporal Landsat satellite data. My colleagues have written an automatic variable selection routine in MATLAB to preselect the most important image variables to model and map forest species abundance. However, depending on the number of records and the initial variables, this process can take weeks to run. Hence, we seek resources to speed up this process.

 

- +
diff --git a/preview-update-submodules/uw-research-computing/connecting.html b/preview-update-submodules/uw-research-computing/connecting.html index c22255c14..2e75a1fa4 100644 --- a/preview-update-submodules/uw-research-computing/connecting.html +++ b/preview-update-submodules/uw-research-computing/connecting.html @@ -294,10 +294,10 @@

1. Accessing the Submit Servers< - hpclogin3.chtc.wisc.edu + spark-login.chtc.wisc.edu - hpclogin1.chtc.wisc.edu and/or hpclogin2.chtc.wisc.edu - access the old HPC cluster until February 28, 2023 + hpclogin3.chtc.wisc.edu - access the old HPC cluster, slated to be decommissioned diff --git a/preview-update-submodules/uw-research-computing/get-help.html b/preview-update-submodules/uw-research-computing/get-help.html index 9c5c249bd..a87e2fa3b 100644 --- a/preview-update-submodules/uw-research-computing/get-help.html +++ b/preview-update-submodules/uw-research-computing/get-help.html @@ -242,15 +242,15 @@

Research Computing Facilitators

- Rachel Lombardi's Headshot -
Rachel Lombardi
Research Computing Facilitator
+ Andrew Owen's Headshot +
Andrew Owen
Research Computing Facilitator
- Andrew Owen's Headshot -
Andrew Owen
Research Computing Facilitator
+ Rachel Lombardi's Headshot +
Rachel Lombardi
Research Computing Facilitator
diff --git a/preview-update-submodules/uw-research-computing/hpc-job-submission.html b/preview-update-submodules/uw-research-computing/hpc-job-submission.html index 1e4b4bd49..fc9a2de9d 100644 --- a/preview-update-submodules/uw-research-computing/hpc-job-submission.html +++ b/preview-update-submodules/uw-research-computing/hpc-job-submission.html @@ -238,7 +238,7 @@

Contents

The following assumes that you have been granted access to the HPC cluster -and can log into the head node hpclogin3.chtc.wisc.edu. If this is not +and can log into the head node spark-login.chtc.wisc.edu. If this is not the case, please see the CHTC account application page or email the facilitation team at chtc@cs.wisc.edu.

diff --git a/preview-update-submodules/uw-research-computing/hpc-overview.html b/preview-update-submodules/uw-research-computing/hpc-overview.html index 8f7aa0c6d..a34c8f6cd 100644 --- a/preview-update-submodules/uw-research-computing/hpc-overview.html +++ b/preview-update-submodules/uw-research-computing/hpc-overview.html @@ -294,7 +294,7 @@

Operating System and Software

Login Nodes

-

The login node for the cluster is: hpclogin3.chtc.wisc.edu

+

The login node for the cluster is: spark-login.chtc.wisc.edu

For more details on logging in, see the “Connecting to CHTC” guide linked above.

diff --git a/preview-update-submodules/uw-research-computing/hpc-spack-setup.html b/preview-update-submodules/uw-research-computing/hpc-spack-setup.html index 98ac0fab8..44cc33d85 100644 --- a/preview-update-submodules/uw-research-computing/hpc-spack-setup.html +++ b/preview-update-submodules/uw-research-computing/hpc-spack-setup.html @@ -406,7 +406,7 @@

3. Using a Shared Group Installatio
  1. Log in to the HPC cluster (Connecting to CHTC). -
    ssh yourNetID@hpclogin3.chtc.wisc.edu
    +    
    ssh yourNetID@spark-login.chtc.wisc.edu
     
  2. diff --git a/preview-update-submodules/uw-research-computing/index.html b/preview-update-submodules/uw-research-computing/index.html index bde2b3852..2310c36e2 100644 --- a/preview-update-submodules/uw-research-computing/index.html +++ b/preview-update-submodules/uw-research-computing/index.html @@ -350,22 +350,18 @@

    - - HTC Week 2024 Photos - -
    - -

    High Throughput Community Builds Stronger Ties at HTC24 Week

    +
    +

    Collaborations Between Two National Laboratories and the OSG Consortium Propel Nuclear and High-Energy Physics Forward

    - By: Jordan Sklar and Cristina Encarnacion + By: Cristina Encarnacion
    - Jul 17, 2024 + Jul 25, 2024
    @@ -383,22 +379,22 @@

    High Throughput Community Builds Stronger Ties at HTC24
    - - NOAA Sonar Banner + + HTC Week 2024 Photos
    - -

    CHTC Launches First Fellow Program

    +
    +

    High Throughput Community Builds Stronger Ties at HTC24 Week

    - By: Cristina Encarnacion + By: Jordan Sklar and Cristina Encarnacion
    - Jun 26, 2024 + Jul 17, 2024
    @@ -529,6 +525,8 @@

    CHTC Launches First Fellow Program

    + +