27th Annual
IEEE High Performance Extreme Computing Virtual Conference
25 - 29 September 2023

Wednesday, September 27

Co-Chairs: J. Kepner & A. Reuther

AI for Digital Health & Computational Biology: Dr. Pradeep Dubey (Intel Senior Fellow)

Co-Chairs: N. Pitsianis & J.Mullen

Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks [Outstanding Student Paper Award]: Li Jing, Rumen Dangovski, Marin Soljacic (MIT)
Machine Learning Across Network-Connected FPGAs: Dana Diaconu, Yanyue Xie, Mehmet Gungor, Suranga Handagala, Xue Lin, Miriam Leeser (Northeastern Univ.)
Image Segmentation with Topological Priors: Shakir Showkat Sofi, Nadezhda Alsahanova (Skolkovo Inst. of Sci. and Tech.)
Robust Fine-Tuning of Vision-Language Models for Domain Generalization: Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant (MIT Lincoln Laboratory)
A Massively Parallel BWP Algorithm for Solving Large-Scale Systems of Nonlinear Equations: Bruno Silva (Univ. of Madeira and SRE-RG Madeira), Luiz Guerreiro Lopes (Univ. of Madeira)

Organizer(s): F. Franchetti & M. Franusich

Co-Chairs: D. Campbell & L. Brattain

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation: Ileana Rugina, Rumen Dangovski (MIT), Mark Veillette, Pooya Khorrami (MIT Lincoln Laboratory), Brian Cheung (MIT), Olga Simek (MIT Lincoln Laboratory), Marin Soljacic (MIT)
Accelerating GNN-based SAR Automatic Target Recognition on HBM-enabled Data-center FPGA: Bingyi Zhang (USC), Rajgopal Kannan (DEVCOM Army Research Lab), Viktor K Prasanna (USC), Carl Busart (DEVCOM Army Research Lab)
An Analysis of Energy Requirement for Computer Vision Algorithms [Outstanding Student Paper Award]: Daniel G Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally (MIT Lincoln Laboratory)
Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification: Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic (MIT)
Manifold Transfer Networks for Lens Distortion Rectification: Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic (MIT)

Co-Chairs: D. Campbell & L. Brattain

Invited Talk: IARPA AGILE Program: Dr. Bill Harrod (IARPA Program Manager)
Automated Indexing Of TEM Diffraction Patterns Using Machine Learning: Nathaniel Tomczak, Sanmukh Kuppannagari (Case Western Reserve Univ.)
Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series: Noah V Lee (MIT Lincoln Laboratory), Patrick Moore (DAF-MIT/AIA), Laura Brattain (MIT Lincoln Laboratory)
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models: Neelesh Gupta, Pengmiao Zhang (USC), Rajgopal Kannan (DEVCOM Army Research Lab), Viktor K Prasanna (USC)
A Composable Just-In-Time Programming Framework with LLMs and FBP: Andy Vidan, Lars Fiedler (Composable Analytics)

Co-Chairs: J. Mullen, L. Milechen & H. Jananthan

Invited Talk: Team Building Inside a Highly Decentralized System: The MIT Office of Research Computing and Data: James Cuff (MIT Office of Research Computing and Data)
Invited Talk: ~~High~~ ‘PI’-Performance Computing: Leveraging Raspberry Pis to Introduce Young Learners to HPC, Linux, and Parallel Programming: Arianna Martin (BP, NAG Partner)
Invited Talk: Training Next Generation AI Users & Developers at NCSA: Dr. Daniel S. Katz (Chief Scientist, NCSA, Univ. of Illinois)
Invited Talk: Enhancing Education with AI-Generated Content: Rocael Hernández Rizzardini (Galileo Univ.)
Invited Talk: Building AI Mentors with Custom Indexes, Prompts, Guardrails and APIs: Miguel Amigot II (IBL Education)

Co-Chairs: X. Sun & S. Kuppannagari

G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction: Abhiram Rao Gorle (Indian Institute of Technology, Madras), Pengmiao Zhang (USC), Rajgopal Kannan (DEVCOM Army Research Lab), Viktor K Prasanna (USC)
Accelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform: Samuel Wiggins, Yuan Meng (USC), Rajgopal Kannan (DEVCOM Army Research Lab), Viktor K Prasanna (USC)
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning: Alexander E Siemenn, Tonio Buonassisi (MIT)
Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++ [Outstanding Student Paper Award]: Bin Lei, Caiwen Ding (Univ. of Connecticut), Le Chen, Pei-Hung Lin, Chunhua Liao (LLNL)
ANEDA: Adaptable Node Embeddings for Shortest Path Distance Approximation: Frank Pacini (Boston Univ.), Allison Gunby-Mann (Dartmouth Coll.), Sarel Cohen (Academic College of Tel Aviv-Yaffo), Peter Chin (Dartmouth Coll.)

Co-Chairs: K. Keville & Po Hao Chen

Cycle Stealing in Exascale HPC Workloads
Akshaya Bali (Boston Univ.)

MoSAIC, the RISC-V and Mesh Network Prototyping Environment
Farzad Fatollahi-Fard (LBL)