SC22 Proceedings

SC Technical Program Archives

SC ACM Student Research Competition Posters

  • Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. Aaron M. Jarmusch (University of Delaware)
  • Comparing Effectiveness of Lossy and Lossless Reduction Techniques. Coleman Nichols (Clemson University)
  • Compressing Quantum Circuit Simulation Tensor Data. Milan Shah (North Carolina State University, Argonne National Laboratory (ANL))
  • Data Throughput Performance Trends of Regional Scientific Data Cache. Caitlin Sim (University of California, Berkeley)
  • Efficiently Learning Locality Optimizations by Decomposing Transformation Domains. Tharindu Patabandi (University of Utah)
  • Extending MAGMA Portability with OneAPI. Anna Fortenberry (University of North Texas)
  • High Performance Computing Scheduler Parameter Optimization Using Simulation and Regression. Scott Hutchison (Kansas State University)
  • IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path. Md. Hasanur Rashid (University of North Carolina, Charlotte)
  • Mostly Painless Scientific Computing with Rust. Srinath Kailasa (University College London)
  • Multi-Objective Evolutionary Clustering of Single-Cell RNA Sequencing Data. Konghao Zhao (Wake Forest University)
  • Optimizing Communication in Parallel Deep Learning via Parameter Pruning. Siddharth Singh (University of Maryland)
  • Optimizing Traceback in the Smith-Waterman Algorithm for GPUs. LeAnn Lindsey (University of Utah, Lawrence Berkeley National Laboratory (LBNL))
  • ParaGraph: An Application-Simulator Interface and Toolkit for Hardware-Software Co-Design. Mikhail Isaev (Georgia Institute of Technology)
  • Practical Evaluation of Remote Adaptive Lossy Compression with Feedback. Connor Ennis (Clemson University)
  • Predicting Scientific Data Popularity Using dCache Logs. Julian Bellavita (University of California, Berkeley)
  • Quantify the Effect of Histogram Intersection in Spatio-Temporal Data Sampling. Changfeng Zou (Clemson University)
  • Software Resource Disaggregation for HPC with Serverless Computing. Marcin Copik (ETH Zürich)
  • Spline-Interpolation-Based Lossy Compression for Scientific Data. Jiannan Tian (Indiana University)
  • Statistical Prediction of Lossy Compression Ratios for 3D Scientific Data. David Krasowska (Clemson University)
  • SurrogateTrain: Drastically Improving Performance of Data Loading for Training Scientific Surrogate Models. Baixi Sun (Indiana University)
  • Towards Scalable Identification of Motifs Representing Non-Determinism in HPC Simulations. Ali Khan (University of North Texas)



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