High Performance Computing: 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings (Lecture Notes in Computer Science Book 12151)

This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.\*The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. \*The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Front Matter ....Pages i-xvi Front Matter ....Pages 1-1 FASTHash: FPGA-Based High Throughput Parallel Hash Table (Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna)....Pages 3-22 Running a Pre-exascale, Geographically Distributed, Multi-cloud Scientific Simulation (Igor Sfiligoi, Frank Würthwein, Benedikt Riedel, David Schultz)....Pages 23-40 Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)TM Streaming-Aggregation Hardware Design and Evaluation (Richard L. Graham, Lion Levi, Devendar Burredy, Gil Bloch, Gilad Shainer, David Cho et al.)....Pages 41-59 Front Matter ....Pages 61-61 Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems (Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot)....Pages 63-82 HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow (Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda)....Pages 83-103 Time Series Mining at Petascale Performance (Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz)....Pages 104-123 Front Matter ....Pages 125-125 Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives (Talita Perciano, Colleen Heinemann, David Camp, Brenton Lessley, E. Wes Bethel)....Pages 127-145 Opportunities for Cost Savings with In-Transit Visualization (James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki et al.)....Pages 146-165 Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines—An Explorative Study on \(10^{6}\) Jobs (Eugen Betke, Julian Kunkel)....Pages 166-184 Front Matter ....Pages 185-185 Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies (Stefanie Zbinden, Andreas Bärtschi, Hristo Djidjev, Stephan Eidenbenz)....Pages 187-206 Front Matter ....Pages 207-207 Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization (Noha Al-Harthi, Rabab Alomairy, Kadir Akbudak, Rui Chen, Hatem Ltaief, Hakan Bagci et al.)....Pages 209-229 DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions (Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura)....Pages 230-248 Front Matter ....Pages 249-249 Using High-Level Synthesis to Implement the Matrix-Vector Multiplication on FPGA (Alessandro Marongiu, Paolo Palazzari)....Pages 251-269 Enabling Execution of a Legacy CFD Mini Application on Accelerators Using OpenMP (Ioannis Nompelis, Gabriele Jost, Alice Koniges, Christopher Daley, David Eder, Christopher Stone)....Pages 270-287 Load-Balancing Parallel Relational Algebra (Sidharth Kumar, Thomas Gilray)....Pages 288-308 Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On (Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt)....Pages 309-327 Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology (Matthias Becker, Umesh Worlikar, Shobhit Agrawal, Hartmut Schultze, Thomas Ulas, Sharad Singhal et al.)....Pages 328-344 Front Matter ....Pages 345-345 Footprint-Aware Power Capping for Hybrid Memory Based Systems (Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz)....Pages 347-369 Offsite Autotuning Approach (Johannes Seiferth, Matthias Korch, Thomas Rauber)....Pages 370-390 Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs (Ayesha Afzal, Georg Hager, Gerhard Wellein)....Pages 391-411 Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors (Christie L. Alappat, Johannes Hofmann, Georg Hager, Holger Fehske, Alan R. Bishop, Gerhard Wellein)....Pages 412-433 Timemory: Modular Performance Analysis for HPC (Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahul Gayatri, Leonid Oliker et al.)....Pages 434-452 Front Matter ....Pages 453-453 TeaMPI—Replication-Based Resilience Without the (Performance) Pain (Philipp Samfass, Tobias Weinzierl, Benjamin Hazelwood, Michael Bader)....Pages 455-473 Pattern-Aware Staging for Hybrid Memory Systems (Eishi Arima, Martin Schulz)....Pages 474-495 Simplifying Communication Overlap in OpenSHMEM Through Integrated User-Level Thread Scheduling (Md. Wasi-ur- Rahman, David Ozog, James Dinan)....Pages 496-516 Communication-Aware Hardware-Assisted MPI Overlap Engine (Mohammadreza Bayatpour, Jahanzeb Hashmi Maqbool, Sourav Chakraborty, Kaushik Kandadi Suresh, Seyedeh Mahdieh Ghazimirsaeed, Bharath Ramesh et al.)....Pages 517-535 Reinit\(^{++}\): Evaluating the Performance of Global-Restart Recovery Methods for MPI Fault Tolerance (Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna)....Pages 536-554 Correction to: High Performance Computing (Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief)....Pages C1-C1 Back Matter ....Pages 555-556 This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.