- Lin Jiang, Martin Veresko, Yu Liu, Ming-Cheng Cheng:
An effective physics simulation methodology based on a data-driven learning algorithm. PASC 2022: 16:1-16:10 - Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC 2022: 2:1-2:11 - Zitong Li, Hemanth Kolla, Eric T. Phipps
:
Parallel memory-efficient computation of symmetric higher-order joint moment tensors. PASC 2022: 10:1-10:11 - Francesco Massimo, Mathieu Lobet, Julien Derouillat, Arnaud Beck, Guillaume Bouchard, Mickael Grech, Frédéric Pérez, Tommaso Vinci:
A task programming implementation for the particle in cell code smilei. PASC 2022: 5:1-5:13 - Alexander Pletzer, Erik Behrens, Bill Little:
MINT: a library that conserves vorticity or lateral fluxes when interpolating vector fields. PASC 2022: 3:1-3:7 - Joshua Romero, Pedro Costa, Massimiliano Fatica:
Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library. PASC 2022: 14:1-14:11 - Mary Lai O. Salvaña, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel space-time likelihood optimization for air pollution prediction on large-scale systems. PASC 2022: 17:1-17:11 - Sandeep Puthanveetil Satheesan, Bhavya, Adam Davies, Alan B. Craig, Yu Zhang, ChengXiang Zhai:
Toward a big data analysis system for historical newspaper collections research. PASC 2022: 12:1-12:11 - Yannis Schumann, Philipp Neumann:
Towards data-driven inference of stencils for discrete differential operators. PASC 2022: 4:1-4:11 - Sebastian Strönisch, Marcus Meyer, Christoph Lehmann:
Flow field prediction on large variable sized 2D point clouds with graph convolution. PASC 2022: 6:1-6:10 - Xinzhe Wu, Davor Davidovic, Sebastian Achilles, Edoardo Di Napoli:
ChASE: a distributed hybrid CPU-GPU eigensolver for large-scale hermitian eigenvalue problems. PASC 2022: 9:1-9:12 - Timothy Robinson:
PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9410-9 [contents] - 2021
- Rahul Bale, Chung-Gang Li, Masashi Yamakawa, Akiyoshi Iida, Ryoichi Kurose, Makoto Tsubokura:
Simulation of droplet dispersion in COVID-19 type pandemics on Fugaku. PASC 2021: 4:1-4:11 - Alexander Brace, Michael Salim, Vishal Subbiah, Heng Ma, Murali Emani, Anda Trifan, Austin R. Clyde, Corey Adams, Thomas D. Uram, Hyun Seung Yoo, Andew Hock, Jessica Liu, Venkatram Vishwanath, Arvind Ramanathan:
Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms. PASC 2021: 6:1-6:13 - Léopold Cambier, Eric Darve:
A task-based distributed parallel sparsified nested dissection algorithm. PASC 2021: 15:1-15:11 - Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Yuma Kikuchi, Ryota Kusakabe, Kazuo Minami, Hikaru Inoue, Seiya Nishizawa, Miwako Tsuji, Tatsuo Nishiki, Muneo Hori, Lalith Maddegedara, Naonori Ueda:
Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element. PASC 2021: 12:1-12:12 - Tobias Kenter, Adesh Shambhu, Sara Faghih-Naini, Vadym Aizinger:
Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. PASC 2021: 13:1-13:11 - Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha:
Scalable HPC & AI infrastructure for COVID-19 therapeutics. PASC 2021: 2:1-2:13 - Feng Li, Dali Wang, Feng Yan, Fengguang Song:
X-composer: enabling cross-environments in-situ workflows between HPC and cloud. PASC 2021: 17:1-17:10 - Salil Mahajan:
Ensuring statistical reproducibility of ocean model simulations in the age of hybrid computing. PASC 2021: 1:1-1:9 - Philippe Marti, Andrew Jackson:
Accurate and efficient Jones-Worland spectral transforms for planetary applications. PASC 2021: 16:1-16:10 - Gijs van den Oord, Maria Chertova, Fredrik Jansson, F. Inti Pelupessy, Pier Siebesma, Daan Crommelin:
Performance optimization and load-balancing modeling for superparametrization by 3D LES. PASC 2021: 7:1-7:8 - Michael E. Rowan, Kevin N. Gott, Jack Deslippe, Axel Huebl, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay:
In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code. PASC 2021: 10:1-10:11 - Philipp Samfass, Jannis Klinkenberg, Minh Thanh Chung, Michael Bader:
Predictive, reactive and replication-based load balancing of tasks in Chameleon and sam(oa)2. PASC 2021: 3:1-3:10 - Jiqun Tu, Michael A. Clark, Chulwoo Jung, Robert D. Mawhinney:
Solving DWF dirac equation using multi-splitting preconditioned conjugate gradient with tensor cores on NVIDIA GPUs. PASC 2021: 9:1-9:11 - Weile Wei, Eduardo F. D'Azevedo, Kevin A. Huck, Arghya Chatterjee, Oscar R. Hernandez, Hartmut Kaiser:
Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver. PASC 2021: 14:1-14:9 - Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran:
Refactoring the MPS/University of Chicago Radiative MHD (MURaM) model for GPU/CPU performance portability using OpenACC directives. PASC 2021: 5:1-5:12 - Anil Yildirim, Charles A. Mader, Joaquim R. R. A. Martins:
Accelerating parallel CFD codes on modern vector processors using blockettes. PASC 2021: 11:1-11:9 - Wei Zhang, Min Xu, Katherine J. Evans, Matthew R. Norman, Mario Morales-Hernández, Salil Mahajan, Adrian Hill, James Manners, Ben Shipway, Christopher M. Maynard:
Progress towards accelerating the unified model on hybrid multi-core systems. PASC 2021: 8:1-8:9 - Timothy Robinson:
PASC '21: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, July 5-9, 2021. ACM 2021, ISBN 978-1-4503-8563-3 [contents]
