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ORCIDACM Transactions on Parallel Computing, Volume 10
Volume 10, Number 1, March 2023
- Prasannabalaji Sundaram
, Aditi Sengupta, Keshava Suman Vajjala, Tapan K. Sengupta:
Non-overlapping High-accuracy Parallel Closure for Compact Schemes: Application in Multiphysics and Complex Geometry. 1:1-1:28 - Shelby Lockhart, Amanda Bienz, William Gropp, Luke N. Olson:
Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods. 2:1-2:25 - Peter Munch, Timo Heister, Laura Prieto Saavedra, Martin Kronbichler:
Efficient Distributed Matrix-free Multigrid Methods on Locally Refined Meshes for FEM Computations. 3:1-3:38 - Christoph Klein, Robert Strzodka:
Tridigpu: A GPU Library for Block Tridiagonal and Banded Linear Equation Systems. 4:1-4:33
Volume 10, Number 2, June 2023
- Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. 5:1-5:35 - Weijian Zheng, Dali Wang, Fengguang Song:
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. 6:1-6:23 - Andrew D. Brown, Jonathan R. Beaumont, David B. Thomas, Julian C. Shillcock, Matthew Naylor, Graeme M. Bragg, Mark Vousden, Simon W. Moore, Shane T. Fleming:
POETS: An Event-driven Approach to Dissipative Particle Dynamics: Implementing a Massively Compute-intensive Problem on a Novel Hard/Software Architecture. 7:1-7:32 - Valentina N. Aleeva, Rifkhat Zh. Aleev:
Investigation and Implementation of Parallelism Resources of Numerical Algorithms. 8:1-8:64 - Haotian Wang, Wangdong Yang, Renqiu Ouyang, Rong Hu, Kenli Li, Keqin Li:
A Heterogeneous Parallel Computing Approach Optimizing SpTTM on CPU-GPU via GCN. 9:1-9:23 - Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li:
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. 10:1-10:27 - Wim H. Hesselink, Peter A. Buhr:
MCSH, a Lock with the Standard Interface. 11:1-11:23 - Hadi Zamani, Laxmi N. Bhuyan, Jieyang Chen, Zizhong Chen:
GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems. 12:1-12:23 - Aleksandar Kamenev, Dariusz R. Kowalski, Miguel A. Mosteiro:
Faster Supervised Average Consensus in Adversarial and Stochastic Anonymous Dynamic Networks. 13:1-13:35
Volume 10, Number 3, September 2023
- Sanjoy K. Baruah, Alberto Marchetti-Spaccamela:
The Computational Complexity of Feasibility Analysis for Conditional DAG Tasks. 14:1-14:22 - Jovan Blanusa, Kubilay Atasu, Paolo Ienne:
Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles. 15:1-15:35 - Andreas Alvermann, Georg Hager, Holger Fehske:
Orthogonal Layers of Parallelism in Large-Scale Eigenvalue Computations. 16:1-16:31
Volume 10, Number 4, December 2023
- Yossi Azar, Julian Shun:
Introduction to the Special Issue for SPAA'21. 17:1 - Daniel Anderson, Guy E. Blelloch:
Parallel Minimum Cuts in O(m log2 n) Work and Low Depth. 18:1-18:28 - Sungjin Im, Ravi Kumar, Mahshid Montazer Qaem, Manish Purohit:
Non-clairvoyant Scheduling with Predictions. 19:1-19:26 - Susanne Albers, Jens Quedenfeld:
Algorithms for Right-sizing Heterogeneous Data Centers. 20:1-20:28 - Yannic Maus:
Distributed Graph Coloring Made Easy. 21:1-21:21 - Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu:
A Fast Algorithm for Aperiodic Linear Stencil Computation using Fast Fourier Transforms. 22:1-22:34
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