diff --git a/2023-10-18-david-swanson-awardees-2023.md b/2023-10-18-david-swanson-awardees-2023.md deleted file mode 100644 index 58abbcac..00000000 --- a/2023-10-18-david-swanson-awardees-2023.md +++ /dev/null @@ -1,149 +0,0 @@ ---- -title: OSG David Swanson Awardees Honored at HTC23 - -author: Sarah Matysiak - -publish_on: - - htcondor - - path - - osg - -type: user - -canonical_url: https://osg-htc.org/spotlights/david-swanson-awardees-2023.html - - - -image: - path: https://raw.githubusercontent.com/CHTC/Articles/main/images/davidswanson.jpg - alt: Two David Swanson awardees accepting award - -excerpt: Jimena Gonzàlez and Aashish Tripathee named 2023's David Swanson awardees - - ---- - - -Jimena Gonzàlzez Lozano and Aashish Tripathee are 2023’s recipients of the award for the -advancements their strategic use of high-throughput computing has enabled - - - -David Swanson was a brilliant research professor in computer science and engineering at -the University of Nebraska-Lincoln. He was an OSG advocate and champion whose legacy Ronda -Swanson at the [2023 High-Throughput Computing (HTC) conference](https://agenda.hep.wisc.edu/event/2014/contributions/) -said she hopes will live on in science. To further honor Swanson’s legacy, leadership, and -contributions to distributed high-throughput computing (dHTC), the [OSG David Swanson Award](https://osg-htc.org/outreach/swanson-award/) -was established in 2020. It reflects the OSG School’s emphasis on training people to develop -their skills in technology and advance science with large-scale computing, OSG research -facilitation lead Christina Koch says. - - - -This year’s recipients are University of Wisconsin-Madison Department of Physics observational -cosmology Ph.D. student [Jimena Gonzàlez Lozano](https://www.physics.wisc.edu/directory/gonzalez-lozano-jimena/) -and University of Michigan physics post-doctoral research fellow [Aashish Tripathee](https://lsa.umich.edu/physics/people/research-fellows/aashisht.html). - - - -Annually, one or more former students from the [OSG School](https://osg-htc.org/user-school-2023/) -are chosen according to the advancements and research achievements dHTC has enabled for them. -Koch served on the selection committee for the award and explains the committee looks for -students who have taken what they learned at the OSG School and achieved great things with it, -like tackling a research problem or writing workflows from scratch after coming in with no experience. - - - -The committee particularly looks for students who have an ongoing relationship with the OSG and -propel it forward. The awardees are then provided with the opportunity to share their research at -the OSG All Hands Meeting, which is part of the annual HTC conference. This year was the first -in-person All Hands Meeting. “Getting to hear the researcher talks and present them with the -award was really meaningful. It's really nice to have a chance to pause and recognize the reason -we’re doing all this hard work,” Koch reflects. “To have it in the context of recognizing a really -wonderful person like David is really meaningful. It’s really like ‘Oh yes, this is why we’re doing -what we’re doing,’ and it’s really rewarding.” - - - -Both Gonzàlez and Tripathee embody what the selection committee looks for, Koch explains. -“What Jimena learned [from the OSG School] really helped her solve a problem that she wouldn’t -have been able to solve before. Aashish is tackling both a niche field of research with these -resources and also has been testing new features for us or letting us know when things aren’t -working and has had this ongoing relationship with us.” - - - -[Gonàzlez’s research](https://youtu.be/LzzBHMr_WRA) on strong gravitational lenses in the dark energy -survey implements HTC and machine learning. Strong gravitational lenses can image stars from -which Gonzàlez can extract the position of the source and the magnification between the images. -From the images, Gonzàlez creates thousands of simulations composed of millions of images while -constraining the quality of the images. Because of the volume of simulations she needs to train, -Gonzàlez could be left waiting for up to weeks using machine learning — and the tighter constraints, -the greater the waiting time. This put its own constraints on which properties she could experiment -with. Some ideas, Gonzàlez says, were impossible to do because she couldn’t do them quickly. -Implementing HTC shortened the waiting time from days to hours. - - - -The OSG school also impacted other areas of Gonzàlez’s research, including training the machine and -performing a complete search — each was reduced from long wait times spanning days to years to much -more manageable wait times of as little as three hours. - - - -As a David Swanson awardee, it’s an honor to be an example of how HTC and the OSG School transformed -her research, Gonzàlez elaborates. “I couldn’t even explore new ideas [because it could take weeks to -run one simulation], and it was around that time that I was reading all my emails carefully, and I saw -the OSG User School announcement,” Gonzàlez remembers. “They did a really good job at describing what -you would learn and what high-throughput computing is. From that description, I thought that it was -perfect for me. I applied, and then during the summer of 2021, I learned how to implement it, and it -was very quick. After the first day, I already knew how to submit a job.” - - - -Gonzàlez will continue to use HTC to model the mass distribution of each galaxy that produces a gravitational -lens. People previously performed the computing for these models by hand, but as the data accumulates, it -becomes less feasible for humans to do this computing. To remedy this, Gonzàlez will use machine learning -to do the modeling because it requires a great deal of computational power. - - - -[Tripathee uses HTC](https://youtu.be/hKA8H7TtMAg) to research continuous gravitational waves. For one project, -the data he collects spans a year and the entire sky, as well as the polarization over 24 times, resulting in -number templates of size 8x1016 — or 80 quadrillion templates. On top of this, Tripathee is looking at 500 -billion templates. The solution for computing templates at a magnitude to the power of 16 is to use HTC, helping -with efficiency when running the numbers and making the project possible, Tripathee said at HTC23. Without HTC, -Tripathee’s jobs would’ve taken on average more than 10 hours for some or more than 24 hours for others. Through -the OSG, Tripathee uses 22 million core hours, 1.4 million hours per month, and 47,000 hours per day. - - - -CC* coordinator and Tripathee’s mentor Tim Cartwright encouraged Tripathee to self-nominate for the award. -Upon learning he was chosen to receive the award, Tripathee recalls feeling happy, honored, and excited -because he knew the history of the award and of David’s legacy. - - - -“It felt like a nice validation and a recognition of having used the [OSG] to perform research,” Tripathee says -about receiving the award. “I also got to meet a lot of people who I only met through e-mail like the OSG faculty, -Tim Cartwright in particular, and Christina. There was a really nice opportunity and an honor to come to Madison, -attend the event, and receive the award but also meet [Ronda Swanson].” - - - -Tripathee plans to continue using the OSG’s resources on new data and to conduct deeper searches more quickly and -efficiently. “With OSG, we didn’t have to fight and struggle for resources. Having this access to these extra resources -allowed us to do searches that are more computationally costly and sensitive,” Tripathee says. “If I had never heard -of OSG, I would have probably still performed similar searches but not to this depth or sensitivity because the amount -of features that I would have had access to would have been more limited.” - - - -“Once I was at [HTC23], I understood what impact he [David Swanson] had on people, and not only in developing OSG, -which was huge,” Gonzàlez notes. “It was shocking, that impact, but it was so very interesting to see people talking -about him because it seemed like he was also a really good human being, a really good mentor, and really -liked helping people and supporting people.” - -![](https://lh7-us.googleusercontent.com/_3VC_SsIT_Cg-BrV7ZaOB_SI9b0ezi-KAMB40I5XPnLzGqKzi2R2lLrZdmwGpvG0AHSgvDQZ4Epfti6Mgu9qbB3SB1fjDEm44nrz-8PQAhxyv5HdsSH6AnYBPKm6RsJjBTe9V4KjzdWYTOWXpsXbizU) - -All image credit to Jimena Gonzàlez diff --git a/2023-10-30-david-swanson-awardees-2023.md b/2023-10-30-david-swanson-awardees-2023.md new file mode 100644 index 00000000..e58ce763 --- /dev/null +++ b/2023-10-30-david-swanson-awardees-2023.md @@ -0,0 +1,152 @@ +--- +title: OSG David Swanson Awardees Honored at HTC23 + +author: Sarah Matysiak + +publish_on: + - htcondor + - path + - osg + +type: user + +canonical_url: +https://osg-htc.org/spotlights/david-swanson-awardees-2023.html +https://htcondor.org/featured-users/2023-10-30-david-swanson-awardees-2023.html +https://path-cc.io/news/2023-10-30-david-swanson-awardees-2023/ + + + +image: + path: https://raw.githubusercontent.com/CHTC/Articles/main/images/davidswanson.jpg + alt: González (left) and Tripathee (right) pictured with their awards. Photo provided by Jimena González. + +excerpt: Jimena Gonzàlez and Aashish Tripathee named 2023's David Swanson awardees + + +--- + +*Jimena González Lozano and Aashish Tripathee are 2023’s recipients of the award for their +research advancements with strategic use of high-throughput computing (HTC).* + +![](https://lh7-us.googleusercontent.com/VcQR20TDmmlKpMiOLVabFLUTldi15v4moGyjHmZTSNKHAV4Nur7aoqlInu_2TYbKle2_PHVHmAcmcReKl9MG7LSdlV_tlHT-BDSQi18a6pEnvE7Hl4XBLExh1AsJcxpmgIfYapXic7qeMK1N1YQORBI) + +OSG leadership created the [OSG David Swanson Award](https://osg-htc.org/outreach/swanson-award/) +in memoriam of Swanson, who championed throughout his life for both the success of his students +and the expansion of OSG and research computing. David Swanson, who died suddenly in 2019, was +a computer science and engineering research professor at the University of Nebraska-Lincoln. +The award reflects Swanson’s and [OSG School’s](https://osg-htc.org/user-school-2023/) emphasis +on helping people develop their skills in technology and advancing science with large-scale +computing, OSG research facilitation lead Christina Koch says. + +Researchers — like [Jimena González Lozano](https://www.physics.wisc.edu/directory/gonzalez-lozano-jimena/) +and [Aashish Tripathee](https://lsa.umich.edu/physics/people/research-fellows/aashisht.html) who sought +the OSG School’s high-throughput computing (HTC) resources to solve complex computational challenges, +and in turn, were able to evolve their research projects — have been honored with the award since +its establishment in 2019. González is a Department of Physics observational cosmology Ph.D. student at +the University of Wisconsin-Madison, and Tripathee is a University of Michigan Physics post-doctoral +research fellow. + + + +Awardees are provided the opportunity to share their research at the OSG All-Hands Meeting, which is +part of the annual [2023 Throughput Computing (HTC23) conference](https://agenda.hep.wisc.edu/event/2014/contributions/), +held in Madison, Wisconsin. “To have it in the context of recognizing a wonderful person like David +is really meaningful. It’s like ‘Oh yes, this is why we’re doing what we’re doing,’ and it’s rewarding,” +Koch reflects. + + + +As a David Swanson awardee, it’s an honor to be an example of how HTC and the OSG School transformed her +research, González elaborates. “I couldn’t even explore new ideas [because it could take weeks to run one simulation], +and it was around that time that I was reading all my emails carefully, and I saw the OSG User +School [application] announcement,” González remembers. “They did a really good job at describing +what you would learn and what high-throughput computing is. From that description, I thought that it +was perfect for me. I applied, and then during the summer of 2021, I learned how to implement it, and +it was very quick. After the first day, I already knew how to submit a job.” + + + +[Gonàzlez’s research](https://youtu.be/LzzBHMr_WRA) on strong gravitational lenses in the dark energy +survey implements HTC and machine learning. Strong gravitational lenses can image stars from which +González can extract the position of the source and the magnification between the images. From the +images, González creates thousands of simulations composed of millions of images while constraining +the quality of the images. Because of the volume of simulations she needs to train, González could +be left waiting for up to weeks using machine learning — and the tighter constraints, the greater +the waiting time. This put its own constraints on which properties she could experiment with. Some +ideas, Gonzàlez says, were impossible to do because she couldn’t do them quickly. Implementing HTC +shortened the waiting time from days to hours. + + + +The OSG school also impacted other areas of González’s research, including training the machine and +performing a complete search — each was reduced from long wait times spanning days to years to much +more manageable wait times of as little as three hours. + + + +[Tripathee uses HTC](https://youtu.be/hKA8H7TtMAg) for solving a big data challenge too. For one +project on continuous gravitational waves, the data he collected spans a year and the entire sky, +as well as the polarization over 24 times, resulting in 80 quadrillion templates. The solution, +Tripathee said at HTC23, is looking at 500 billion templates per job. The answer for computing +templates at a magnitude of a quadrillion is to use HTC, which helps with efficiency when running +the numbers and makes the project possible. Without HTC, Tripathee’s jobs would’ve taken on average +more than 10 hours for some or more than 24 hours for others. Through the OSG, Tripathee uses 22 +million core hours, 1.4 million hours per month, and 47,000 hours per day. + + + +Tripathee’s mentor and OSG Deputy Executive Director Tim Cartwright encouraged Tripathee to self-nominate +for the award. Upon learning he was chosen to receive the award, “It felt like a nice validation +and a recognition of having used the [OSG] to perform research,” Tripathee says about receiving the +award. Attending HTC23 event in Madison to receive the award was rewarding. “I also got to meet a +lot of people… like the OSG faculty, Tim Cartwright in particular, and Christina [Koch]. There was +a really nice opportunity and an honor to come to Madison, attend the event, and receive the award +but also meet [David Swanson’s widow, Ronda].” + + + +At HTC23 Ronda Swanson said she hopes David’s legacy will live on in science. Ronda Swanson is +OSG’s self-described “biggest fangirl” and has continued her relationship with the OSG as an +advocate for HTC since David’s death, Cartwright says. + + + +Annually, a committee chooses one or more former students from the OSG School according to the +student’s advancements and research achievements with distributed high-throughput computing (dHTC). +The OSG School teaches students how to harness HTC resources for their data collection and research +needs. Koch, who served on the selection committee for the award, explains the committee looks for +students who have taken what they learned at the OSG School and achieved great things with it, like +tackling a research problem or writing workflows from scratch after coming in with little to no +experience. Cartwright says committee members also look for applicants who can give back to the +community. Both Gonzàlez and Tripathee embody what the selection committee looks for, Koch explains. + + + +“What Jimena learned [from the OSG School] really helped her solve a problem that she wouldn’t have +been able to solve before. Aashish is tackling both a niche field of research with these resources +and also has been testing new features for us or letting us know when things aren’t working and has +had this ongoing relationship with us.” + + + +Gonzàlez will continue to use HTC to model the mass distribution of each galaxy that produces a +gravitational lens. People previously performed the computing for these models by hand, but as +the data accumulates, it becomes less feasible for humans to do this computing. To remedy this, +Gonzàlez will use machine learning to do the modeling because it requires a great deal of computational power. + + + +Tripathee plans to continue using the OSG’s resources on new data and to conduct deeper searches +more quickly and efficiently. “With OSG, we didn’t have to fight and struggle for resources. Having +this access to these extra resources allowed us to do searches that are more computationally +costly and sensitive,” Tripathee says. “If I had never heard of OSG, I would have probably still +performed similar searches but not to this depth or sensitivity because the number of features +that I would have had access to would have been more limited.” + + + +“Once I was at [HTC23], I understood what impact he [David Swanson] had on people, and not only +in developing OSG, which was huge,” Gonzàlez notes. “It was shocking, that impact, but it was so +very interesting to see people talking about him because it seemed like he was also a really good +human being, a really good mentor, and really liked helping people and supporting people.”