Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs by Merzari, Elia, Hamilton, Steven, Evans, Thomas, Romano, Paul, Fischer, Paul, Min, Misun, Kerkemeier, Stefan, Lan, Yu-Hsiang, Fang, Jun, Phillips, Malachi, Rathnayake, Thilina, Biondo, Elliott, Royston, Katherine, Chalmers, Noel, Warburton, Tim

Gacer: Granularity-Aware Concurrency Regulation for Multi-Tenant Deep Learning by Yu, Yongbo, Yu, Fuxun, Tian, Zhi, Chen, Xiang

DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication by Lu, Yuechen, Liu, Weifeng

Red-Blue Pebbling Revisited: Near Optimal Parallel Matrix-Matrix Multiplication by Kwasniewski, Grzegorz, Kabic, Marko, Besta, Maciej, VandeVondele, Joost, Solca, Raffaele, Hoefler, Torsten

A coordination mechanism to replicate large-scale multi-agent systems by Ductor, Sylvain, Guessoum, Zahia

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Peek: A Prune-Centric Approach for K Shortest Path Computation by Feng, Wang, Chen, Shiyang, Liu, Hang, Ji, Yuede

cuSZp: An Ultra-Fast GPU Error-Bounded Lossy Compression Framework with Optimized End-to-End Performance by Huang, Yafan, Di, Sheng, Yu, Xiaodong, Li, Guanpeng, Cappello, Franck

DISC: Exploiting Data Parallelism of Non-Stencil Computations on CGRAs via Dynamic Iteration Scheduling by Liang, Yue, Mou, Di, Liu, Dajiang

Scaling betweenness centrality using communication-efficient sparse matrix multiplication by Solomonik, Edgar, Besta, Maciej, Vella, Flavio, Hoefler, Torsten

Scalable Adaptive PDE Solvers in Arbitrary Domains by Kumar, Saurabh, Ishii, Masado, Fernando, Milinda, Gao, Boshun, Tan, Kendrick, Hsu, Ming-Chen, Krishnamurthy, Adarsh, Sundar, Hari, Ganapathysubramanian, Baskar

Solving PDEs in Space-Time: 4D Tree-Based Adaptivity, Mesh-Free and Matrix-Free Approaches by Ishii, Masado, Fernando, Milinda, Saurabh, Kumar, Khara, Biswajit, Ganapathysubramanian, Baskar, Sundar, Hari

Enabling and Scaling the HPCG Benchmark on the Newest Generation Sunway Supercomputer with 42 Million Heterogeneous Cores by Zhu, Qianchao, Luo, Hao, Yang, Chao, Ding, Mingshuo, Yin, Wanwang, Yuan, Xinhui

Boosting Graph Spectral Sparsification via Parallel Sparse Approximate Inverse of Cholesky Factor by Chen, Baiyu, Liu, Zhiqiang, Zhang, Yibin, Yu, Wenjian

Scalable sparse tensor decompositions in distributed memory systems by Kaya, Oguz, Uçar, Bora

EPipe: Pipeline Inference Framework with High-Quality Offline Parallelism Planning for Heterogeneous Edge Devices by Xiong, Yi, Liu, Weihong, Zhang, Rui, Zu, Yulong, Zhu, Zongwei, Zhou, Xuehai

Optimizing High-Performance Linpack for Exascale Accelerated Architectures by Chalmers, Noel, Kurzak, Jakub, McDougall, Damon, Bauman, Paul T.

Leveraging the Compute Power of two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique by Pollinger, Theresa, Van Craen, Alexander, Niethammer, Christoph, Breyer, Marcel, Pfluger, Dirk

High-Performance SVD Partial Spectrum Computation by Keyes, David, Ltaief, Hatem, Nakatsukasa, Yuji, Sukkari, Dalal

BSTC: A Novel Binarized-Soft-Tensor-Core Design for Accelerating Bit-Based Approximated Neural Nets by Li, Ang, Geng, Tong, Wang, Tianqi, Herbordt, Martin, Song, Shuaiwen Leon, Barker, Kevin

Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs by Liu, Yiqian, Azami, Noushin, VanAusdal, Avery, Burtscher, Martin