Lead or Participate
Guided Interest Groups (GIGs) are community learning experiences where students shepherd participants through the SC Technical Program.
Participating students are expected to attend sessions planned by the GIG leaders as well as pre- and post-session discussions facilitated by the session lead.
Once a student has registered and received a registration confirmation for a specific GIG, they will be put in contact with the GIG lead. The leads will send all meeting invites to the GIG participants.
Review the GIGs below and submit your selection by November 4. You can also request to lead a GIG in the survey.
GIGs are open to all students attending the conference. Priority is given to students participating in the Students@SC cohorts.
GIG 1: High Performance Computing (HPC) at a Glance
Lead
John Jolly
John is a PhD graduate student at the University of Utah School of Computing under the leadership of Dr. Mary Hall. I am a fourth-year student researching compiler optimizations of sparse data layouts. Before my academic life I worked in the industry for SUSE Linux as a maintainer for the Linux kernel on s390 architectures and contributor to HPC tools such as Warewulf and Slurm.
I have been married since 1991 and have four wonderful adult sons. I enjoy amateur astronomy and classic arcade emulation.
Description
What exactly are the benefits of HPC, and is HPC right for you? This GIG will act as a tech guide to facilitate your understanding about what HPC means on both a theoretical and a practical level . HPC is an important aspect of scientific computing today, with different uses for a variety of sciences.
This GIG will provide an overview of some of the ways HPC is used to facilitate scientific research. This includes various paradigms, programming languages and tools that are used to produce high-quality results for scientists in many diverse fields. Discussions will center around understanding how students can implement HPC in their studies – either with research outside the computer sciences, or with advancing the science of HPC. You should come away with an idea of how HPC will help you be successful in your academic pursuits.
Schedule
Sunday, Nov 13
5:30–7:30 pm CST, D221 | GIG Kickoff and Orientation
Monday, Nov 14
[Workshop] 8:30 am–5 pm CST, C156 | ESPM2 2022: Seventh International Workshop on Extreme Scale Programming Models and Middleware
[Grand Opening Gala Reception] 7–9 pm CST, Exhibit Hall | Visit the exhibits and network
Tuesday, Nov 15
[Awards] 8:30–10 am CST, Dallas Ballroom/Omni Hotel | SC22 Opening Session and ACM A.M. Turing Lecture featuring Jack Dongarra
[Paper] 2:30–3 pm CST, C146 | Toward Scalable Resource Management for Supercomputers
[BoF] 5:15–6:45 pm CST, D152 | Benchmarking Across HPC Architectures
Wednesday, Nov 16
[Panel] 10:30 am–12 pm CST, C155-156 | Relaxing Correctness via Approximate Computing: Is It Feasible in HPC?
[Panel] 3:30–5 pm CST, C147-148-154 | Reinventing High-Performance Computing
Thursday, Nov 17
[Paper] 1:30–3pm CST, C141-143-149 | Simulations and Modeling
[Lightning Talks] 4:30–5 pm CST, D1/Clear Fork Ballroom, Lightning Talk Sessions
GIG 2: Applications and Scientific Computing
Lead
Pratik Nayak
Pratik Nayak is a doctoral candidate and research scientist at the Karlsruhe Institute of Technology, Germany. His current work involves research in asynchronous and batched iterative linear solvers. He is one of the core developers of the Ginkgo software library and has interests in sustainable, maintainable and reproducible software. He also enjoys helping to organize conferences, teaching courses and mentoring students.
In his free time he enjoys running, hiking, bouldering and playing tennis. He also enjoys learning the guitar and the piano and likes to try out new musical instruments.
Description
This GIG will act as a guide to facilitate your understanding about what encmpasses applications and scientific Computing. High Performance computing (HPC) forms a vital tool for advancing scientific discoveries. Applications aim to leverage HPC with new scientific computing techniques and methods to accelerate both the generation and analysis of data.
The curated conference events and talks in this GIG are aimed to allow students to gain a taste of the different applications and the different computing methods that drive these applications. You will be experiencing plenary and discussions involving researchers from diverse domains that will aid in enhancing your knowledge of applications and scientific computing.
Schedule
Sunday, Nov 13
5:30–7:30 pm CST, D221 | GIG Kickoff and Orientation
Monday, Nov 14
[Plenary] 5:15–6:30 pm CST, Dallas Ballroom/Omni Hotel | HPC Accelerates Plenary: The Many Dimensions of HPC Acceleration
[Grand Opening Gala Reception] 7–9 pm CST, Exhibit Hall | Visit the exhibits and network
Tuesday, Nov 15
[Awards] 8:30–10 am CST, Dallas Ballroom/Omni Hotel | SC22 Opening Session and ACM A.M. Turing Lecture featuring Jack Dongarra
[Awards] 1:30–3 pm CST, C144-145 | Get inspired by the Gordon Bell Prize Finalists.
[BoF] 5:15–6:45 pm CST, Dallas Ballroom, Omni Hotel | TOP500 Supercomputers
Wednesday, Nov 16
[Exhibitor Forum] 11:30 am–12 pm CST, D171 | Supercomputing: Transforming Every Field of Discovery, NVIDIA
Thursday, Nov 17
[Lightning Talks] 4:30–5 pm CST, D1/Clear Fork Ballroom | Lightning Talk Sessions
GIG 3: Machine Learning and AI
Leads
Daniel Barry
Daniel is a Data Science and Engineering PhD student at the University of Tennessee, Knoxville (UTK), advised by Dr. Jack Dongarra. He does research with the Innovative Computing Lab’s Performance Tools group. Daniel received his Bachelors of Science in Computer Engineering at the University of Tennessee. His research interests include application performance monitoring tools, benchmarking methodologies, optimizing applications, numerical methods for data science, and large-scale data analytics. Daniel has been involved with the HPC community ever since competing with UTK in the 2013 Student Cluster Competition.
Daniel is a truly avid fan of cooking and baking. Find him at the conference and tell him about your favorite food!
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 Oak Ridge National Laboratory over 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 HPC systems and tools and scientific computing, with a particular focus on computational epidemiology.
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.
Description
Are you interested in learning about the convergence of HPC with Machine Learning and AI? Do you know how the learning algorithms utilized in autonomous driving, face recognition, and protein folding function? In this GIG, we give you a taste of some of the interesting aspects of Machine Learning and AI through SC22.
You will get to check out the state-of-the-art of Artificial Intelligence and Machine Learning tools and how they are using HPC power to deliver faster and more accurate solutions. You will also get inspired by the SC Plenary and the discussions by AI researchers working in the industry.
Schedule
Sunday, Nov 13
[Kickoff] 5:30–7:30 pm CST, D221 | GIG’s Kickoff and Orientation
Monday, Nov 14
[Workshop] 1:30–5 pm CST, D220 | Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
[Plenary] 5:15–6:30 pm CST, Dallas Ballroom/Omni Hotel | HPC Accelerates Plenary: The Many Dimensions of HPC Acceleration
Tuesday, Nov 15
[BoF] 12:15–1:15 pm CST, D172 | Mixed Feeling About Mixed Precisions
[BoF] 5:15–6:45 pm CST, C144-145 | HPC Is Neutral, AI Is Not! Ethical Concerns of Coupling AI with HPC
Wednesday, Nov 16
[BoF] 5:15–6:45 pm CST, D172 | Steering Customized AI Architectures for HPC Scientific Workloads
Thursday, Nov 17
[Papers] 1:30–3:00 pm CST, C140-142 | Fast and Efficient Model Training
[Lightning Talks] 4:30–5 pm CST, D1/Clear Fork Ballroom | Lightning Talk Sessions
