SC23 Proceedings

SC Technical Program Archives

Research Posters

  • Accelerating Actor-Based Distributed Triangle Counting. Aniruddha Mysore (Georgia Institute of Technology), Kaushik Ravichandran (Georgia Institute of Technology), Youssef Elmougy (Georgia Institute of Technology), Akihiro Hayashi (Georgia Institute of Technology), Vivek Sarkar (Georgia Institute of Technology)
  • Ares – Simulating Type Ia Supernovae on Heterogeneous HPC Architectures. Landon Dyken (University of Illinois, Chicago), Alexander Holas (Heidelberg Institute of Theoretical Studies), Mark Ivan Ugalino (University of Maryland), Md Nageeb Bin Zaman (Louisiana State University)
  • Automating HPC Model Selection on Edge Devices. Abrar Hossain (University of Toledo), Kishwar Ahmed (University of Toledo)
  • Balancing Latency and Throughput of Distributed Inference by Interleaved Parallelism. Jiangsu Du (Sun Yat-Sen University), Jinhui Wei (Sun Yat-Sen University), Jiazhi Jiang (Sun Yat-Sen University), Shenggan Cheng (National University of Singapore), Zhiguang Chen (Sun Yat-Sen University), Dan Huang (Sun Yat-Sen University), Yutong Lu (Sun Yat-Sen University)
  • Characterizing GPU Effectiveness on NRP for IceCube fp32 Compute. David Schultz (University of Wisconsin, Madison), Igor Sfiligoi (University of California, San Diego (UCSD)), Benedikt Riedel (University of Wisconsin, Madison), Frank Würthwein (University of California, San Diego (UCSD))
  • Characterizing One-/Two-Sided Designs in OpenSHMEM Collectives. Yuke Li (University of California, Merced), Yanfei Guo (Argonne National Laboratory (ANL)), Xiaoyi Lu (University of California, Merced)
  • Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code. Jeremy Johnathan Williams (KTH Royal Institute of Technology), Daniel Medeiros (KTH Royal Institute of Technology), Ivy Peng (KTH Royal Institute of Technology), Stefano Markidis (KTH Royal Institute of Technology)
  • Delivering Digital Skills Across the Digital Divide: Creating an Accessible On-Demand Self-Paced HPC Virtual Training Lab. Bryan Johnston (Council for Scientific and Industrial Research (CSIR), South Africa; ACE Lab, Centre for High Performance Computing, South Africa), Lara Timm (Council for Scientific and Industrial Research (CSIR), South Africa; ACE Lab, Centre for High Performance Computing, South Africa), Mabatho Hashatsi (Council for Scientific and Industrial Research (CSIR), South Africa; ACE Lab, Centre for High Performance Computing, South Africa)
  • Developing an Inverse Reinforcement Learning Methodology to Predict the Progression of Colorectal Cancer. Silba Dowell (University of Wyoming), Daniel Hintz (University of Wyoming), Tyson Limato (University of Wyoming), Shad Sellers (University of Wyoming), Milana Wolff (University of Wyoming), Nicholas Chia (Argonne National Laboratory (ANL)), Liudmila Mainzer (University of Wyoming)
  • DFToy: A New Proxy App for DFT Calculations. Arjen Tamerus (University of Cambridge), Phil Hasnip (University of York, England)
  • An Early Case Study with Multi-Tenancy Support in SPDK’s NVMe-over-Fabric Designs. Darren Ng (University of California, Merced), Charles Parkinson (University of California, Merced), Andrew Lin (University of California, Merced), Arjun Kashyap (University of California, Merced), Xiaoyi Lu (University of California, Merced)
  • Early Experience in Characterizing Training Large Language Models on Modern HPC Clusters. Hao Qi (University of California, Merced), Liuyao Dai (University of California, Merced), Weicong Chen (University of California, Merced), Xiaoyi Lu (University of California, Merced)
  • EE-HPC – A Framework for Energy Efficient HPC System Operation. Jan Eitzinger (Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen National High-Performance Computing Center (NHR@FAU)), Thomas Gruber (Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen National High-Performance Computing Center (NHR@FAU))
  • Evaluating Performance Portability of GPU Programming Models. Joshua H. Davis (University of Maryland), Pranav Sivaraman (University of Maryland), Isaac Minn (University of Maryland), Abhinav Bhatele (University of Maryland)
  • Exploring Green Cryptographic Hashing Algorithms for Eco-Friendly Blockchains. Aahad Abubaker (DePaul University), Tanmay Anand (Illinois Institute of Technology), Sonal Gaikwad (Illinois Institute of Technology), Mahad Haider (Illinois Institute of Technology), Jacklyn McAninch (Illinois Institute of Technology), Lan Nguyen (Illinois Institute of Technology), Alexandru Orhean (DePaul University), Ioan Raicu (Illinois Institute of Technology)
  • Exploring Julia as a Unifying End-to-End Workflow Language for HPC on Frontier. William F. Godoy (Oak Ridge National Laboratory (ORNL)), Pedro Valero-Lara (Oak Ridge National Laboratory), Caira Anderson (Oak Ridge National Laboratory (ORNL), Cornell University), Katrina W. Lee (Oak Ridge National Laboratory (ORNL); University of Texas, Dallas), Ana Gainaru (Oak Ridge National Laboratory (ORNL)), Rafael Ferreira da Silva (Oak Ridge National Laboratory (ORNL)), Jeffrey S. Vetter (Oak Ridge National Laboratory (ORNL))
  • Exploring the Impacts of Multiple I/O Metrics in Identifying I/O Bottlenecks. Izzet Yildirim (Illinois Institute of Technology), Hariharan Devarajan (Lawrence Livermore National Laboratory), Anthony Kougkas (Illinois Institute of Technology), Xian-He Sun (Illinois Institute of Technology), Kathryn Mohror (Lawrence Livermore National Laboratory)
  • Exploring Userspace Memory Mapping for RDMA-Enabled Network-Attached Memory. Jacob Wahlgren (KTH Royal Institute of Technology, Sweden), Jennifer Faj (KTH Royal Institute of Technology, Sweden), Eric Green (Lawrence Livermore National Laboratory), Maya Gokhale (Lawrence Livermore National Laboratory), Ivy Peng (KTH Royal Institute of Technology, Sweden)
  • Geospatial Filter and Refine Computations on NVIDIA Bluefield Data Processing Units (DPU). Derda Kaymak (Marquette University), Satish Puri (Missouri University of Science and Technology)
  • GPU-Accelerated Dense Covariance Matrix Generation for Spatial Statistics Applications. Zipei Geng (King Abdullah University of Science and Technology (KAUST)), Sameh Abdulah (King Abdullah University of Science and Technology (KAUST)), Hatem Ltaief (King Abdullah University of Science and Technology (KAUST)), Ying Sun (King Abdullah University of Science and Technology (KAUST)), Marc Genton (King Abdullah University of Science and Technology (KAUST)), David Keyes (King Abdullah University of Science and Technology (KAUST))
  • Graph Based Anomaly Detection in Chimbuko: Feasible or Fallible?. Chase Phelps (Texas State University), Ankur Lahiry (Texas State University), Tanzima Z. Islam (Texas State University), Christopher Kelly (Brookhaven National Laboratory)
  • A High-Performance I/O Framework for Accelerating DNN Model Updates Within Deep Learning Workflow. Jie Ye (Illinois Institute of Technology), Jaime Cernuda (Illinois Institute of Technology), Bogdan Nicolae (Argonne National Laboratory), Anthony Kougkas (Illinois Institute of Technology), Xian-He Sun (Illinois Institute of Technology)
  • High-Performance PMEM-Aware Collective I/Os. Keegan Sanchez (Washington State University, Vancouver), Alex Gavin (Washington State University, Vancouver), Suren Byna (Ohio State University), Kesheng Wu (Lawrence Berkeley National Laboratory (LBNL)), Xuechen Zhang (Washington State University, Vancouver)
  • HPC Accelerated Generative Deep Learning Approach for Creating Digital Twins of Climate Models. Johannes Meuer (German Climate Computing Centre (DKRZ)), Christopher Kadow (German Climate Computing Centre (DKRZ)), Thomas Ludwig (German Climate Computing Centre (DKRZ)), Claudia Timmreck (Max Planck Institute for Meteorology)
  • Hybrid CPU-GPU Implementation of Edge-Connected Jaccard Similarity in Graph Datasets. Atharva Gondhalekar (Virginia Tech), Paul Sathre (Virginia Tech), Wu-chun Feng (Virginia Tech)
  • A Hybrid Factorization Solver with Mixed Precision Arithmetic for Sparse Matrices. Atsushi Suzuki (RIKEN Center for Computational Science (R-CCS))
  • The Impact of Process Topology on RMA Programming Models: A Study on NERSC Perlmutter. Nikodemos Koutsoheras (Pacific Northwest National Laboratory (PNNL)), Sayan Ghosh (University of Maryland), Nathan Tallent (Pacific Northwest National Laboratory (PNNL)), Joshua Suetterlein (Pacific Northwest National Laboratory (PNNL)), Abhinav Bhatele (University of Maryland)
  • Improving Memory Interfacing in HLS-Generated Accelerators with Custom Caches. Claudio Barone (Pacific Northwest National Laboratory (PNNL)), Giovanni Gozzi (Politecnico di Milano), Michele Fiorito (Politecnico di Milano), Ankur Limaye (Pacific Northwest National Laboratory (PNNL)), Antonino Tumeo (Pacific Northwest National Laboratory (PNNL)), Fabrizio Ferrandi (Politecnico di Milano)
  • Integrating TEZIP into LibPressio: A Case Study of Integrating a Dynamic Application into a Static C Environment. Isita Talukdar (University of California, Berkeley; RIKEN Center for Computational Science (R-CCS)), Amarjit Singh (RIKEN Center for Computational Science (R-CCS)), Robert Underwood (Argonne National Laboratory (ANL)), Kento Sato (RIKEN Center for Computational Science (R-CCS)), Weikuan Yu (Florida State University)
  • Introducing Prefetching and Data Compression to Accelerate Checkpointing for Inverse Seismic Problems. Sandro Rigo (University of Campinas), Thiago Maltempi (University of Campinas), Marcio Pereira (University of Campinas), Hervé Yviquel (University of Campinas), Jessé Costa (Pará Federal University), Guido Araujo (University of Campinas)
  • Investigating Anomalies in Compute Clusters: An Unsupervised Learning Approach. Yiyang Lu (College of William & Mary), Jie Ren (College of William & Mary), Yasir Alanazi (Thomas Jefferson National Accelerator Facility), Ahmed Mohammed (Thomas Jefferson National Accelerator Facility), Diana McSpadden (Thomas Jefferson National Accelerator Facility), Laura Hild (Thomas Jefferson National Accelerator Facility), Mark Jones (Thomas Jefferson National Accelerator Facility), Wesley Moore (Thomas Jefferson National Accelerator Facility), Malachi Schram (Thomas Jefferson National Accelerator Facility), Bryan Hess (Thomas Jefferson National Accelerator Facility), Evgenia Smirni (College of William & Mary)
  • The Many Facets of a Dynamic Graph Processing System. Juntong Luo (University of British Columbia), Scott Sallinen (University of British Columbia), Matei Ripeanu (University of British Columbia)
  • A Methodology for Accelerating Variant Calling on GPU. Beatrice Branchini (Polytechnic University of Milan), Alberto Zeni (Polytechnic University of Milan), Marco Santambrogio (Polytechnic University of Milan)
  • Minimizing Data Movement Using Distant Futures. Barry Sly-Delgado (University of Notre Dame), Douglas Thain (University of Notre Dame)
  • Modeling Parallel Programs Using Large Language Models. Daniel Nichols (University of Maryland), Aniruddha Marathe (Lawrence Livermore National Laboratory), Harshitha Menon (Lawrence Livermore National Laboratory), Todd Gamblin (Lawrence Livermore National Laboratory), Abhinav Bhatele (University of Maryland)
  • MPI Performance Analysis in Vlasiator: Unraveling Communication Bottlenecks. Jennifer Faj (KTH Royal Institute of Technology, Sweden), Jeremy J. Williams (KTH Royal Institute of Technology, Sweden), Ivy B. Peng (KTH Royal Institute of Technology, Sweden), Urs Ganse (University of Helsinki), Markus Battarbee (University of Helsinki), Yann Pfau-Kempf (University of Helsinki), Leo Kotipalo (University of Helsinki), Minna Palmroth (University of Helsinki), Stefano Markidis (KTH Royal Institute of Technology, Sweden)
  • NeoRodinia: Evaluation of High-Level Parallel Programming Models and Compiler Transformation for GPU Offloading. Xinyao Yi (University of North Carolina at Charlotte), Anjia Wang (University of North Carolina at Charlotte), Yonghong Yan (University of North Carolina at Charlotte)
  • Neural Domain Decomposition for Variable Coefficient Poisson Solvers. Sebastian Barschkis (University of California, Irvine), Zitong Li (University of California, Irvine), Hengjie Wang (Modular Inc), Aparna Chandramowlishwaran (University of California, Irvine)
  • Optimizing Uncertainty Quantification of Vision Transformers in Deep Learning on Novel AI Architectures. Erik Pautsch (Loyola University, Chicago), John LI (University of California, San Diego), Silvio Rizzi (Argonne National Laboratory (ANL)), George Thiruvathukal (Loyola University, Chicago), Maria Pantoja (California Polytechnic State University, San Luis Obispo)
  • Optimizing Workflow Performance by Elucidating Semantic Data Flow. Meng Tang (Illinois Institute of Technology), Nathan R. Tallent (Pacific Northwest National Laboratory (PNNL)), Anthony Kougkas (Illinois Institute of Technology), Xian-He Sun (Illinois Institute of Technology)
  • PanSim: A Performance-Portable Agent Based Model. Istvan Z. Reguly (Pázmány Péter Catholic University, Hungary), Bence Keömley-Horváth (Pázmány Péter Catholic University, Hungary), Gábor Szederkényi (Pázmány Péter Catholic University, Hungary), Attila Csikász-Nagy (Pázmány Péter Catholic University, Hungary)
  • Parallel Optimization Methods for Direct Numerical Simulation of High Reynolds Number Wall Turbulence with a Grid Size of 100 Billion. Jiabin Xie (Sun Yat-sen University, Guangzhou, China), Guangnan Feng (Sun Yat-sen University, Guangzhou, China), Han Huang (Sun Yat-sen University, Guangzhou, China), Junxuan Feng (Sun Yat-sen University, Guangzhou, China), Yutong Lu (Sun Yat-sen University, Guangzhou, China)
  • ParLeiden: Boosting Parallelism of Distributed Leiden Algorithm on Large-Scale Graphs. Yongmin Hu (Douyin Vision Co., Ltd), Jing Wang (Shanghai Jiao Tong University), Cheng Zhao (Douyin Vision Co., Ltd), Yibo Liu (Shanghai Jiao Tong University), Cheng Chen (Douyin Vision Co., Ltd), Xiaoliang Cong (Douyin Vision Co., Ltd), Chao Li (Shanghai Jiao Tong University)
  • Performant Low-Order Matrix-Free Finite Element Kernels on GPE Architectures. Randolph Settgast (Lawrence Livermore National Laboratory), William Tobin (Lawrence Livermore National Laboratory), Nicola Castelletto (Lawrence Livermore National Laboratory), Yohann Dudouit (Lawrence Livermore National Laboratory), Sergey Klevtsov (Stanford University), Ben Corbett (Lawrence Livermore National Laboratory)
  • Pipit: Simplifying Analysis of Parallel Execution Traces. Alexander Movsesyan (University of Maryland), Rakrish Dhakal (University of Maryland), Aditya Ranjan (University of Maryland), Jordan Marry (University of Maryland), Onur Cankur (University of Maryland), Abhinav Bhatele (University of Maryland)
  • A Portable Software Environment for Ultrahigh-Resolution ELM Development on GPUs. Franklin Eaglebarger (Pellissippi State Community College), Dali Wang (Oak Ridge National Laboratory)
  • Preserving Data Locality in Multidimensional Variational Quantum Classification. Mingyoung Jeng (University of Kansas), Alvir Nobel (University of Kansas), Vinayak Jha (University of Kansas), David Levy (University of Kansas), Dylan Kneidel (University of Kansas), Manu Chaudhary (University of Kansas), Ishraq Islam (University of Kansas), Esam El-Araby (University of Kansas)
  • QASM-to-HLS: A Framework for Accelerating Quantum Circuit Emulation on High-Performance Reconfigurable Computers. Anshul Maurya (Florida Institute of Technology), Naveed Mahmud (Florida Institute of Technology)
  • Quantum Computing Case Study in Aerospace Field. Naoyuki Fujita (Japan Aerospace Exploration Agency (JAXA)), Yuusuke Takemoto (Japan Aerospace Exploration Agency (JAXA)), Susumu Takatsu (TRC Inc.), Yasuyuki Nishibayashi (IBM Japan), Mitsuhiro Hashimoto (IBM Japan), Ryo Sakurai (IBM Japan), Mitsuharu Takeori (IBM Japan), Takahiro Yamamoto (IBM Japan), Jiayun Zhu (IBM Japan)
  • Quantum Task Offloading with the OpenMP API. Joseph K. L. Lee (Edinburgh Parallel Computing Centre (EPCC)), Martin Ruefenacht (Leibniz Supercomputing Centre), Johannes Doerfert (Lawrence Livermore National Laboratory), Oliver Thomson Brown (Edinburgh Parallel Computing Centre (EPCC)), Mark Bull (Edinburgh Parallel Computing Centre (EPCC)), Michael Klemm (AMD Research), Martin Schulz (Technical University Munich)
  • Radium: Transparent Distributed Execution via Process Virtualization. Aidan Cully (VMware Inc), Husheng Zhou (VMware Inc), Dusan Veljko (VMware Inc), Hyojong Kim (VMware Inc), Vance Miller (VMware Inc), Joel Zambrano (VMware Inc), Mazhar Memon (VMware Inc)
  • Real-Time Change Point Detection in Molecular Dynamics Streaming Data. Vijayalakshmi Saravanan (University of South Dakota), Shinjae Yoo (Brookhaven National Laboratory), Hubertus Van Dam (Brookhaven National Laboratory), Christopher Kelly (Brookhaven National Laboratory), Thomas Flynn (Brookhaven National Laboratory), Perry Siehien (Brookhaven National Laboratory), Kalyan Muppudojo (Brookhaven National Laboratory), Aniket Kumar Ramesh (Brookhaven National Laboratory)
  • SCALABLE – Scalable Lattice Boltzmann Leaps to Exascale. Jayesh Badwaik (Jülich Supercomputing Center), Lubomír Říha (IT4Innovations National Supercomputing Center, VŠB – Technical University of Ostrava), Radim Vavřík (IT4Innovations National Supercomputing Center, VŠB – Technical University of Ostrava), Ondřej Vysocký (IT4Innovations National Supercomputing Center, VŠB – Technical University of Ostrava), Kristian Kadlubiak (IT4Innovations National Supercomputing Center, VŠB – Technical University of Ostrava), Gabriel Staffelbach (CERFACS, France), Markus Holzer (CERFACS, France; Friedrich-Alexander-University of Erlangen-Nuremberg), Philipp Suffa (Friedrich-Alexander-University of Erlangen-Nuremberg), Romain Cuidard (CS GROUP), Denis Ricot (CS GROUP)
  • Scalable Algorithms for Analyzing Large Dynamic Networks Using CANDY. Aashish Pandey (University of North Texas), Arindam Khanda (Missouri University of Science and Technology), Sriram Srinivasan (University of Oregon), Sudharshan Srinivasan (University of Oregon), S. M. Shovan (Missouri University of Science and Technology), Farahnaz Hosseini (University of North Texas), Sajal Das (Missouri University of Science and Technology), Boyana Norris (University of Oregon), Sanjukta Bhowmick (University of North Texas)
  • Scalable Fine-Grained Gang Scheduling for HPC Systems with Unreliable Broadcast Synchronization Mechanisms. Hiroki Ohtsuji (Fujitsu Ltd), Erika Hayashi (Fujitsu Ltd), Reika Kinoshita (Fujitsu Ltd), Masahiro Miwa (Fujitsu Ltd), Eiji Yoshida (Fujitsu Ltd)
  • Scalable Reduced-Order Modeling for Three-Dimensional Turbulent Flow. Kazuto Ando (RIKEN Center for Computational Science, Kobe University), Rahul Bale (RIKEN Center for Computational Science, Kobe University), Akiyoshi Kuroda (RIKEN Center for Computational Science), Makoto Tsubokura (RIKEN Center for Computational Science, Kobe University)
  • Scaling K-Path Centrality Using Optimized Distributed Data Structure. Lance Fletcher (Texas A&M University, Lawrence Livermore National Laboratory), Trevor Steil (Lawrence Livermore National Laboratory), Roger Pearce (Lawrence Livermore National Laboratory, Texas A&M University)
  • Simulating Application Agnostic Process Assignment for Graph Workloads on Dragonfly and Fat Tree Topologies. Md Nahid Newaz (Oakland University), Sayan Ghosh (Pacific Northwest National Laboratory (PNNL)), Joshua Suetterlein (Pacific Northwest National Laboratory (PNNL)), Nathan Tallent (Pacific Northwest National Laboratory (PNNL)), Hua Ming (Oakland University)
  • Simulating Larger Quantum Circuits with Circuit Cutting and Quantum Serverless. Caleb Johnson (IBM Research), Bryce Fuller (IBM Research), Jim Garrison (IBM Research), Jennifer Glick (IBM Research)
  • Simulating Quantum Systems with NWQ-Sim on HPC. In-Saeng Suh (Oak Ridge National Laboratory (ORNL)), Ang Li (Pacific Northwest National Laboratory (PNNL))
  • Software Development Case Study: The Acceleration of a Distributed Application Using GPUs. Martin Kuhnel (Chevron), Alex Loddoch (Chevron), Tao Sun (Chevron)
  • Sophisticated Tools for Performance Analysis and Auto-Tuning of Performance Portable Parallel Programming. Vivek Kale (Sandia National Laboratories), David Boehme (Lawrence Livermore National Laboratory), Kevin Huck (University of Oregon), Shravan Kale (University of Oregon), Vanessa Surjadidjaja (Sandia National Laboratories), James Brandt (Sandia National Laboratories)
  • sys-sage: A Fresh View on Dynamic Topologies and Attributes of HPC Systems. Stepan Vanecek (Technical University Munich), Martin Schulz (Technical University Munich)
  • Temporal Classification of Allocations for Reduced Memory Usage. Kristi Belcher (Lawrence Livermore National Laboratory), David Beckingsale (Lawrence Livermore National Laboratory), Sam Schwartz (University of Oregon), Marty McFadden (Lawrence Livermore National Laboratory)
  • That's Right – The Same C++ STL Asynchronous Parallel Code Runs on CPUs and GPUs. Muhammad Haseeb (Lawrence Berkeley National Laboratory (LBNL), National Energy Research Scientific Computing Center (NERSC)), Weile Wei (Lawrence Berkeley National Laboratory (LBNL), National Energy Research Scientific Computing Center (NERSC)), Jack Deslippe (Lawrence Berkeley National Laboratory (LBNL), National Energy Research Scientific Computing Center (NERSC)), Brandon Cook (Lawrence Berkeley National Laboratory (LBNL), National Energy Research Scientific Computing Center (NERSC))
  • Toward Inductive Synthesis of Compiler Heuristics: A Case Study with Register Allocation. Mohammad Ali (Texas State University), Apan Qasem (Texas State University)
  • Towards Enabling Digital Twins Capabilities for a Cloud Chamber. Jiaqi Yang (Emory University), Mohammad Atif (Brookhaven National Laboratory), Vanessa Lopez-Marrero (Brookhaven National Laboratory), Tao Zhang (Brookhaven National Laboratory), Kwang Min Yu (Brookhaven National Laboratory), Meifeng Lin (Brookhaven National Laboratory), Lingda Li (Brookhaven National Laboratory), Fan Yang (Brookhaven National Laboratory), Yangang Liu (Brookhaven National Laboratory), Abdullahalmut Sharfuddin (Stony Brook University), Foluso Ladeinde (Stony Brook University)
  • Transfer Learning Workflow for High-Quality I/O Bandwidth Prediction with Limited Data. Dmytro Povaliaiev (RWTH Aachen University), Radita Liem (RWTH Aachen University, IT Center), Julian Kunkel (University of Göttingen, GWDG, Germany), Jay Lofstead (Sandia National Laboratories), Philip Carns (Argonne National Laboratory (ANL))
  • Two-Phase IO Enabling Large-Scale Performance Introspection. Ke Fan (University of Illinois, Chicago), Sidharth Kumar (University of Illinois, Chicago)
  • Unleashing CGRA Potential for HPC. Boma Adhi (RIKEN Center for Computational Science (R-CCS)), Emanuele Del Sozzo (RIKEN Center for Computational Science (R-CCS)), Carlos Cortes (RIKEN Center for Computational Science (R-CCS)), Xinyuan Wang (University of Toronto, RIKEN Center for Computational Science (R-CCS)), Tomohiro Ueno (RIKEN Center for Computational Science (R-CCS)), Kentaro Sano (RIKEN Center for Computational Science (R-CCS))
  • Unstructured Finite Element Models of Cardiac Electrophysiology Using a Deal.II-Based Library. Laryssa Abdala (University of North Carolina), Simone Rossi (Align Technology), David Wells (University of North Carolina), Boyce Griffith (University of North Carolina)
  • Why Wait!? Hades: An Active, Content-Aware System for Precalculating Derived Quantities. Jaime Cernuda (Illinois Institute of Technology), Luke Logan (Illinois Institute of Technology), Anthony Kougkas (Illinois Institute of Technology), Xian-He Sum (Illinois Institute of Technology)


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