SC23 Proceedings

SC Technical Program Archives

SC ACM Student Research Competition Posters

  • Accelerating Collective Communications with Lossy Compression on GPU. Jiajun Huang (University of California, Riverside)
  • Accelerating CRUD with Chrono Dilation for Time-Series Storage Systems. Lan Nguyen (Illinois Institute of Technology)
  • Better Data Splits for Machine Learning with Astartes. Jackson Burns (Massachusetts Institute of Technology (MIT))
  • Case Study for Performance Portability of GPU Programming Frameworks for Hemodynamic Simulations. Aristotle Martin (Duke University)
  • Chasing Clouds with Donkeycar: Holistic Exploration of Edge and Cloud Inferencing Trade-Offs in E2E Self-Driving Cars. Kyle Zheng (National Science Foundation (NSF))
  • Cloud Computing at Scale: Tracking 4.5 Million Heartbeats of 3D Coronary Flow via the Longitudinal Hemodynamic Mapping Framework. Cyrus Tanade (Duke University)
  • Comparative Study of the Cache Utilization Trends for Regional Scientific Data Caches. Ronak Monga (Indiana University, Lawrence Berkeley National Laboratory (LBNL))
  • A Comparison of Deep and Shallow Residual Networks for Medical Imaging Classification. Elaine Lu (Columbia University)
  • Cray EX40 Cluster Intrusion Detection System. Daniel Wild (Los Alamos National Laboratory (LANL), University of New Mexico)
  • Dynamic and First-Class Priorities. Marelle León (Illinois Institute of Technology)
  • Enabling Transparent, High-Throughput Data Movement for Scientific Workflows on HPC Systems. Ian Lumsden (University of Tennessee)
  • Fast Checkpointing of Large Language Models with TensorStore CHFS. Sohei Koyama (University of Tsukuba)
  • Fast Operations on Compressed Arrays without Decompression. Harvey Dam (University of Utah)
  • File Aggregation for Asynchronous Multi-Level Checkpointing. Mikaila J. Gossman (Clemson University)
  • A Formal Specification of Tensor Cores via Satisfiability Modulo Theories. Benjamin Valpey (University of Rochester)
  • Genome Assembly Using an Asynchronous Distributed Actor-Based Approach. Souvadra Hati (Georgia Institute of Technology)
  • A Heterogeneous, In Transit Approach for Large Scale Cellular Modeling. Ayman Yousef (Duke University)
  • How Much Noise Is Enough: On Privacy, Security, and Accuracy Trade-Offs in Differentially Private Federated Learning. Adhishree Kathikar (Indiana University)
  • Incremental Graph Clustering in Parallel. Md Taufique Hussain (Indiana University)
  • Job Level Communication-Avoiding Detection and Correction of Silent Data Corruption in HPC Applications. Laslo Hunhold (University of Cologne)
  • Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT). Max Faykus (Clemson University)
  • Navigating the Molecular Maze: A Python-Powered Approach to Virtual Drug Screening. John Raicu (University of Chicago)
  • Near-Optimal Reduce on the Cerebras Wafer-Scale Engine. Piotr Luczynski (ETH Zürich)
  • NetCDFaster: A Geospatial Cyberinfrastructure for Multi-Dimensional Scientific Datasets Full-Stack I/O and Visualization. Zhenlei Song (Texas A&M University)
  • ProxyStreams: Leveraging Lightweight Proxies for Portable Streams. Nazanin Mahmoudi (Wayne State University)
  • A Reinforcement Learning-Based Backfilling Strategy for HPC Batch Jobs. Elliot Kolker-Hicks (University of North Carolina, Charlotte)
  • Road To Reliability: Optimizing Self-Driving Consistency With Real-Time Speed Data. William Fowler (Tufts University)
  • ROI Preservation in Streaming Lossy Compression. Avinash Kethineedi (Clemson University)
  • Scaling Infrastructure to Support Multi-Trillion Parameter LLM Training. Mikhail Isaev (Georgia Institute of Technology)
  • Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pretraining. Chris Pierre Paul (Oak Ridge Institute For Science And Education, Florida State University)
  • Seeing the Trees for the Forest: Describing HPC Filesystem Trees with the Grand Unified File-Index (GUFI). Jenna Kline (Ohio State University, Los Alamos National Laboratory (LANL))
  • Sensitivity of Black-Box Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data. Alexandra Poulos (Clemson University)
  • Simultaneous Evaluation of Mindful Fault Checking across the CPU and GPU. Hayden Estes (University of Alabama, Huntsville)
  • Supercharging Scientific Serverless: Slashing Cold Starts with Python UniKernels. Jamison Kerney (Illinois Institute of Technology)
  • Using Deep Neural Networks to Classify Hot-Cold Data Storage. Keene Lu (Northwestern University)
  • Utilizing Large Language Models for Disease Phenotyping in Obstructive Sleep Apnea. Ifrah Khurram (San Juan Bautista School of Medicine, Lawrence Berkeley National Laboratory (LBNL))


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