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Guided Interest Groups

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students

Participate

OCT 18, 2024

Sign-ups Open

NOV 11, 2024

Sign-ups Close

NOV 17, 2024

GIG Kickoff & Social Event

The GIGs this year span topics ranging from the fundamentals of HPC to state-of-the-art developments in machine learning, artificial intelligence, sustainability, and scientific applications. GIGs are open to all students attending the conference, with priority given to those participating in the Students@SC cohorts.

GIGs

Review the GIGs below and sign up using the form above by November 11, 2024.

GIG 1: Intro to High Performance Computing

DESCRIPTION

Have you ever wondered about the advantages of high performance computing (HPC) and whether it aligns with your goals? Why HPC? What is HPC? What can we do with HPC? This GIG will provide an overview of HPC as one of the most powerful tools in the scientific world, and it will guide you through how hardware, software, and applications are integrated to get the most out of it.

Note: All GIGs are designed to be beginner-friendly, so this GIG is intended only for students with no previous experience with HPC. If you have any prior experience however slight, please choose one of the other GIGs.

GIG Leaders

kevin

Kevin Assogba

Kevin Assogba is a Ph.D. student at Rochester Institute of Technology (RIT), advised by Dr. M. Mustafa Rafique and Bogdan Nicolae (ANL). His research aims to develop system software that supports scientific reproducibility while optimizing HPC application performance. He enjoys working on simple and complex software projects and advocates for reproducible and open-source software. He also loves playing soccer and cycling.

vincent

Vincent Bode

Since the start of his PhD pursuits in early 2020, Vincent instructed subjects like Parallel Programming and Computer Architecture at his home institution, the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich. In his academic research, he specializes in benchmarking of hardware and software systems, with a focus on publish-subscribe communication systems and time synchronization algorithms in the context of distributed systems. Vincent is active in the board game community at his university and has a bit of a reputation in One Night Werewolf. Be sure to hit him up at the students’ board game competition if you want to face off.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Monday, Nov 18

Panel – HPC Creates Plenary: High-Performance Computing (HPC) Shaping the Future
5:30–6:45 pm EST, Exhibit Hall A3

Tuesday, Nov 19

Invited Talk – Industries Benefiting from HPC
1:30–3 pm EST, Exhibit Hall A3

Thursday, Nov 21

BoF – TOP500 Supercomputers
5:15–6:45 pm EST, Exhibit Hall A3

GIG 2: Extreme-Scale Systems and Applications

DESCRIPTION

As scientific computing tackles ever larger problems at ever finer resolutions, it has grown ever more vital that scientific applications are able to fully leverage available high-performance computing (HPC) resources. This need has fueled the discovery of innovative techniques for designing, scaling, and optimizing scientific applications. Over the course of the conference, we will explore state-of-the-art applications pushing the world’s largest supercomputers to their limits, achieving exceptional performance, scalability, or time-to-solution on engineering or scientific problems from a wide variety of domains.

GIG Leaders

bengisu

Bengisu Elis

Bengisu Elis is a PhD student in Computer Science at the Technical University of Munich, Germany. Bengisu received her Bachelors of Science in Electrical and Electronics Engineering at the Middle East Technical University, Turkey. Her research is in GPU communications, performance analysis and performance tools. She is involved in the PlasmaPEPSC project funded by the European Union and she completed two internships at Lawrence Livermore National Laboratory. In her free time Bengisu loves traveling, learning new languages, hiking and running.

thomas

Thomas Randall

Thomas Randall is a Graduate Research Assistant and PhD Candidate studying under Dr. Rong Ge at Clemson University in the School of Computing. His research focuses on performance modeling and optimization for High Performance Computing (HPC). He is in the sixth year of his PhD program and hoping to defend his dissertation soon(tm). He has also published research with scientists at Argonne and Oak Ridge National Laboratories and regularly volunteers at the Supercomputing conference series. Outside of work, Thomas enjoys card and board games as well as expanding his list of 620+ rated movies on Letterboxd.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Tuesday, Nov 19

Paper – Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
4:30–5 pm EST, Room B312-B313A

Wednesday, Nov 20

APaper – Enable 13K-Atom Excited-State GW Calculations via Low-Rank Approximations and HPC on the New Sunway Supercomputer
3:30–4 pm EST, Room B311

Thursday, Nov 21

Paper – Understanding Data Movement Patterns at HPC: A NERSC Case Study
9:30–10 am EST, Room B309

GIG 3: Humans and Data in HPC

DESCRIPTION

Among the computer science disciplines, high-performance computing (HPC) can feel very detached from the humans which use these systems. Many academic conferences and contributions hedge towards the technical: scalability, algorithms, performance optimization and hardware. With this very machine-heavy focus, it is easy to forget the goal of building HPC centers, the source of the data being used, and who is using these systems. So, in the spirit of re-injecting the human element into HPC, this GIG will take you through sessions which balance out the technical discussions with considerations of data sources, accessibility and ethics of how we may use HPC to better serve humanity.

GIG Leaders

connor

Connor Scully-Allison

Connor Scully-Allison is a PhD student researching Data Visualization for HPC applications at the University of Utah. He has significant experience in data management, data wrangling, UI design and Human Computer Interaction (HCI) methodologies. Overall, Connor is interested in focusing on the human component in our computer-based disciplines and understanding how we can make all of our systems better for end users.

sayef

Sayef Azad Sakin

Sayef Azad Sakin is a final year PhD student at the University of Utah, advised by Professor Dr. Kate Isaacs. He is doing research on analyzing scientific program behavior using data visualization and optimized data management techniques. He is an outdoor kind of person and enjoys hiking, cycling, and running. He also loves playing action and RPG computer games in his spare times.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Monday, Nov 18

Session – Challenges and Opportunities for Tools in a Changing HPC Landscape
9:05–9:40 am EST, Room B311

Session – Do Large Language Models Reflect Societal Gender Bias? A Comparative Analysis
2–2:30 pm EST, Room B309

Tuesday, Nov 19

Paper – LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
10:30–11 am EST, Room B309

Thursday, Nov 21

Paper – Revisiting Computation for Research: Practices and Trends
Paper – Understanding Data Movement Patterns at HPC: A NERSC Case Study
9–10 am EST, Room B309

GIG 4: Increasing the Sustainability of HPC

DESCRIPTION

As high-performance computing (HPC) clusters grow in computational power, there is an ever-increasing demand for energy. This has monetary implications for HPC research. In addition, this trend entails valuable resources being expended to keep up with the growing energy consumption. This GIG will serve as an exploration of recent contributions in addressing the need for more sustainability in the HPC world.

GIG Leaders

breanna

Breanna Powell

Breanna is pursuing her Master’s degree in Computer Science and Software Engineering at the University of Washington Bothell. Her passion is to unite sustainability and climate action with technology. She is the Vice President of the UW Bothell ACM (Association for Computing Machinery) and the Alliance 4 Sustainability. This summer, she worked at Los Alamos National Laboratory with the sea ice climate modeling division, using HPC to run the Energy Exascale Earth System Model (E3SM) and create visuals of sea ice measurements over time to compare them with data from NASA’s ICESat. Breanna enjoys traveling, sightseeing, arts and cultural activities, photography, and hiking.

Mia Reitz

Mia is a PhD student in her last year at University of Kassel in Germany. Since her bachelor’s, she has been interested in high-performance computing. Her research interests include fault tolerance and load balancing for task-based parallel programs on supercomputers. The past four years she has been participating as a student volunteer at SC, and she is looking forward to SC24 in Atlanta! Mia always enjoys meeting friends from previous years and new interesting people, and of course learning many new exciting things about science.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Tuesday, Nov 19

Paper – Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer
2:30–3 pm EST, Room B311

Wednesday, Nov 20

BoF – The Green500: Trends in Energy-Efficient Supercomputing
5:15–6:45 pm EST, Room B208

Thursday, Nov 21

Panel – Sustainability, Carbon-Neutrality and HPC
1:30–3 pm EST, Room B313B-B314

GIG 5: Machine Learning and Artificial Intelligence

DESCRIPTION

This GIG has been crafted with the aim of giving you a comprehensive understanding of the wide-reaching realm of machine learning (ML) and artificial intelligence (AI) applications and scientific computing. High-performance computing (HPC) stands as a pivotal force in pushing the boundaries of scientific inquiry. Applications, in turn, benefit from integrating ML and AI with HPC’s formidable capabilities by accelerating data generation and analysis.

GIG Leaders

kristen

Kristen Hallas

Kristen is a Ph.D. student in the Center for Advanced Manufacturing & Innovations in Cyber Systems (CAMICS) lab at the University of Texas Rio Grande Valley (UTRGV). Her research lies in the middle of smart manufacturing technologies, big data science, and statistical optimization. Kristen uses HPC to create better machine learning models. Over the summer, she built artificial intelligence frameworks to predict the phase maps of equation-of-state tables at Lawrence Livermore National Lab (LLNL). Put simply, Kristen likes to develop mathematical models that solve interdisciplinary problems. Her other research interests include exascale data analysis/visualization and inclusive, accessible STEM education. Outside of research, Kristen enjoys creating art, watching documentaries, exploring nature, and catching up with friends.

ian

Ian Lumsden

Ian Lumsden is a PhD student studying Computer Science at the University of Tennessee, Knoxville. He is a Graduate Research Assistant in the Global Computing Lab advised by Dr. Michela Taufer. In collaboration with Lawrence Livermore National Laboratory, his work focuses on the study, characterization, and optimization of I/O and data movement in scientific computing workflows. He is also a developer, contributor, and collaborator on several of LLNL’s tools and projects related to performance monitoring and analysis (i.e., Thicket and Caliper), data movement (i.e., DYAD), resource management and workflow orchestration (i.e., Flux), and scientific computing workflows (i.e., MuMMI). Ian has been involved with the HPC community since joining the Global Computing Lab in 2019, and he has been a regular or lead student volunteer at SC every year since 2019. Outside of research, he enjoys reading, video games, and learning about other cultures.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Monday, Nov 18

Keynote – DOE’s Integrated Research Infrastructure in the AI Era 
9:10–10 am EST, Room B305

Tuesday, Nov 19

Panel – How the Convergence of HPC and AI is Accelerating Innovation Panel
10:30 am–12 pm EST, Room B313B-B314

Wednesday, Nov 20

ACM Gordon Bell Finalist – MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization
10:30–11 am, Room B312-B313A

Thursday, Nov 21

Panel – Computing is Eating the World – Will Saving the Planet Destroy It?
10:30 am–12 pm, Room B310

GIG 6: Scientific Applications with HPC

DESCRIPTION

As we continue our relentless pursuit of the frontiers of science, it is crucial to understand how high-performance computing resources can be leveraged to accelerate discoveries in various scientific domains. In this GIG, we focus on scientific challenges facing humanity, with emphasis on this year’s contenders for the esteemed Gordon Bell Prize. This prize is awarded to a team which develops an application which achieves exceptional performance, scalability, or time-to-solution on an important engineering or scientific problem from a wide variety of domains.

GIG Leaders

mazahir

Mazahir Hussain

Mazahir’s research interests include high-performance computing, networking, and machine learning. He is currently working on a network telemetry system utilizing P4 programmable switches, eBPF, and OpenMP. Additionally, he is actively involved in the development and demonstration of projects such as AutoGOLE/SENSE, P4Global Lab, and the SCION internet architecture at the annual Supercomputing (SC) Conference. Outside of his research, Mazahir enjoys reading books on philosophy, psychology, and personal development. He is also an active member of his institute’s soccer club and delights in cooking spicy and delicious Pakistani cuisine.

Lindsey Gordon

Lindsey Gordon is a fourth-year Ph.D. candidate in astrophysics at the University of Minnesota and a GRA at Los Alamos National Lab. Her work focuses on using HPC systems to run high resolution simulations of the jets from active galactic nuclei and their interactions with the background intracluster medium. She also writes for the science communication platform astrobites. Outside of work she enjoys doing community theater, thrifting, and reading sci-fi and fantasy novels thick enough to act as doorstops.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Tuesday, Nov 19

ACM Gordon Bell Finalist – Democratizing AI: Open-Source Scalable LLM Training on GPU-Based Supercomputers
10:30–11 am EST, Room 312–313A

Gordon Bell Climate Finalist – A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers
2:30–3 pm EST, Room B313B-B314

Wednesday, Nov 20

BoF – HPC and Cancer: Creating Opportunities for Improving Lives
5:15–6:45 pm EST, Room B207

Thursday, Nov 21

Paper – Scientific Data Processing and Visualization
10:30 am–12 pm EST, Room B311

Friday, Nov 22

Panel – Computing at the Edge: HPC and AI Supporting Recent U.S. Space Missions
10:30 am–12 pm EST, Room B313B-B314

GIG 7: Performance Analysis and Portability

DESCRIPTION

Are you interested in learning about what “performance” means in “high-performance computing”? Are you interested in state-of-the-art research in this area? This GIG will provide an overview of different notions of performance, such as execution time and benchmarking. These sessions will give nuanced insight into the various aspects of performance and optimization. They will cover major areas of interest, such as GPU computing and leveraging tools to gauge performance.

GIG Leaders

joy

Joy Kitson

Joy Kitson is a PhD student at the University of Maryland, where she is advised by Ahbinav Bhatele. She is also a Department of Energy Computational Science Graduate Fellow, and interned at Los Alamos National Laboratory over Summer 2024, and Oak Ridge National Laboratory in Summer 2022 through that program. She was a virtual intern at Argonne National Laboratory over the Summer of 2020 and graduated from the University of Delaware that Spring with a Bachelors of Science in Computer Science and Applied Mathematics. She worked on the Caliper project at LLNL Summer 2019, and co-presented work done by her team at LANL over Summer 2018 on Effective Performance Portability during SC18. Her current work revolves around optimizing HPC applications, with a focus on computational epidemiology, and understanding the performance portability of HPC codes. When not doing research, she loves swing dancing, reading, and playing a variety of games with friends – including D&D, board games, and video games.

jessica

Jessica Dagostini

Jessica is a 3rd PhD Student in the Computer Science and Engineering department at UC Santa Cruz and 2024 ACM SIGHPC Fellow. She is co-advised by Dr. Scott Beamer and Dr. Tyler Sorensen. Her research interest relies on optimizing scientific computing and graph-related problems linked to HPC. Working towards the computational acceleration of a pangenome/DNA mapping tool, she believes that her research can help enable even faster solutions for different types of scientific creations and advancements. She also actively engaged with initiatives to create welcoming environments for women and underrepresented groups in HPC.

schedule

Sunday, Nov 17

GIGs Kickoff
5:30–7:30 pm EST, Room A404-A405

Monday, Nov 18

P3HPC: Welcome, Featured Speaker, and Paper – Optimizing MILC-Dslash Performance on NVIDIA A100 GPU: Parallel Strategies using SYCL
9–10 am EST, Room B306

Tuesday, Nov 19

Paper – HiRace: Accurate and Fast Data-Race Checking for GPU Programs
4:30–5 pm EST, Room B309

Thursday, Nov 21

Panel – Extreme-Scale Performance Evaluation Tools
8:30–10 am EST, Room B313B-B314

SC attendee

questions?

Contact us if you have questions about student GIGs. We’d be happy to help.

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