PPSC

Publications

2022

Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PPSC (2022)
Malachi Phillips, Stefan Kerkemeier, Paul F. Fischer
Tuning Spectral Element Preconditioners for Parallel Scalability on GPUs. PPSC (2022)
Yannick Funk, Markus Götz, Hartwig Anzt
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning. PPSC (2022)
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PPSC (2022)
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, PPSC 2022, Seattle, WA, USA, February 23-26, 2022. PPSC (2022)
Shelby Lockhart, David J. Gardner, Carol S. Woodward, Stephen Thomas, Luke N. Olson
Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers. PPSC (2022)
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
Deep Learning and Spectral Embedding for Graph Partitioning. PPSC (2022)
Tim Baer, Raghavendra Kanakagiri, Edgar Solomonik
Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels. PPSC (2022)

2020