Suchergebnisse - "Sparse Matrix-Sparse Matrix Multiplication"

I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication

Autoren: Gleinig, Niels Besta, Maciej Hoefler, Torsten

Quelle: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Schlagwörter: 0102 computer and information sciences, 01 natural sciences

Zugangs-URL: http://hdl.handle.net/20.500.11850/573210

Multi-threaded Sparse Matrix Sparse Matrix Multiplication for Many-Core and GPU Architectures

Autoren: Mehmet Deveci Christian Trott Sivasankaran Rajamanickam

Zugangs-URL: https://www.osti.gov/biblio/1417260

Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight.

Autoren: Chen, Yuedan Xiao, Guoqing Yang, Wangdong

Quelle: Neural Computing & Applications. May2020, Vol. 32 Issue 10, p5571-5582. 12p.

Schlagwörter: *SPARSE matrices, *MATRIX multiplications, *SUPERCOMPUTERS, *SCALABILITY, *MULTIPLICATION

SIMULTANEOUS COMPUTATIONAL AND DATA LOAD BALANCING IN DISTRIBUTED-MEMORY SETTING.

Autoren: ÇELIKTUĞ, MESTAN FIRAT KARSAVURAN, M. OZAN ACER, SEHER et al.

Quelle: SIAM Journal on Scientific Computing; 2022, Vol. 44 Issue 6, pC399-C424, 26p

Schlagwörter: MATRIX multiplications, SPARSE matrices, DATA replication, DATA distribution

LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks

Autoren: Yin, Ruokai Kim, Youngeun Wu, Di et al.

Index Begriffe: Computer Science - Hardware Architecture, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2407.14073

Efficient Parallel Sparse Tensor Contraction

Autoren: Singh, Somesh Uçar, Bora

Weitere Verfasser: Singh, Somesh Uçar, Bora

Quelle: IEEE Transactions on Parallel and Distributed Systems. 36:1206-1219

Schlagwörter: tensor contraction, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], hashing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05047235v1
https://hal.science/hal-05047235v1/document
https://doi.org/10.1109/tpds.2025.3557750

Performance-Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer.

Autoren: Chen, Yuedan Li, Kenli Yang, Wangdong et al.

Quelle: IEEE Transactions on Parallel & Distributed Systems; 4/1/2019, Vol. 30 Issue 4, p923-938, 16p

Schlagwörter: SPARSE matrices, COMPUTER architecture, PARALLEL processing, SUPERCOMPUTERS, KERNEL (Mathematics)

Fast But Accurate: A Real-Time Hyperelastic Simulator with Robust Frictional Contact.

Autoren: Zeng, Ziqiu Luo, Siyuan Shi, Fan et al.

Quelle: ACM Transactions on Graphics; Aug2025, Vol. 44 Issue 4, p1-19, 19p

Schlagwörter: FRICTION, CONTACT mechanics, COMPLEMENTARITY constraints (Mathematics), STRAIN energy, DYNAMIC simulation, PARALLEL processing, NONLINEAR equations, PARALLEL programming

SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation

Autoren: Gwanghwi Seo Sungju Ryu

Quelle: IEEE Access, Vol 13, Pp 45568-45576 (2025)

Schlagwörter: sparse matrix multiplication, Electrical engineering. Electronics. Nuclear engineering, matrix sampling with threshold, Matrix tiling, tile-level dataflow speculator, TK1-9971

Zugangs-URL: https://doaj.org/article/44ff33efd7fa46ffb3b0696a5b49e4d8

Complexity reduction in density functional theory: Locality in space and energy.

Autoren: Dawson, William Kawashima, Eisuke Ratcliff, Laura E. et al.

Quelle: Journal of Chemical Physics; 4/28/2023, Vol. 158 Issue 16, p1-13, 13p

Schlagwörter: DENSITY functional theory

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures

Autoren: Selvitopi, O Hussain, MT Azad, A et al.

Index Begriffe: Markov clustering, HipMCL, SpGEMM, cs.DC, publication

URL: https://escholarship.org/uc/item/7zd2c5ch
https://escholarship.org/

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures

Autoren: Selvitopi, Oguz Hussain, Taufique Azad, Ariful et al.

Index Begriffe: Distributed Computing and Systems Software, Information and Computing Sciences, Networking and Information Technology R&D (NITRD), Bioengineering, Affordable and Clean Energy, Markov clustering, HipMCL, SpGEMM, cs.DC, publication

URL: https://escholarship.org/uc/item/7zd2c5ch
https://escholarship.org/content/qt7zd2c5ch/qt7zd2c5ch.pdf

Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation

Autoren: Islam, Abdullah Al Raqibul Xu, Helen Dai, Dong et al.

Schlagwörter: FOS: Computer and information sciences, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Zugangs-URL: http://arxiv.org/abs/2507.21253

An Efficient Gustavson-Based Sparse Matrix–Matrix Multiplication Accelerator on Embedded FPGAs

Autoren: Shiqing Li Shuo Huai Weichen Liu et al.

Weitere Verfasser: Shiqing Li Shuo Huai Weichen Liu et al.

Quelle: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:4671-4680

Schlagwörter: Gustavson, Computer science and engineering::Hardware [Engineering], Dataflow, Computer science and engineering [Engineering], FPGA, SpMM

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10356/169151

Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures.

Autoren: Deveci, Mehmet Trott, Christian Rajamanickam, Sivasankaran

Quelle: Parallel Computing. Oct2018, Vol. 78, p33-46. 14p.

Schlagwörter: *SPARSE matrices, *COMPUTER architecture, *KERNEL operating systems, *GRAPHICS processing units, *MATRIX multiplications

A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering.

Autoren: Pang, Qiyuan Yang, Haizhao

Quelle: Journal of Scientific Computing; Mar2024, Vol. 98 Issue 3, p1-24, 24p

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries.

Autoren: BESTA, MACIEJ GERSTENBERGER, ROBERT PETER, EMANUEL et al.

Quelle: ACM Computing Surveys; Feb2024, Vol. 56 Issue 2, p1-40, 40p

Schlagwörter: SYSTEMS design, RDF (Document markup language), DATABASES, DATA structures, OBJECT-oriented databases, DATA analysis

Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU

Autoren: Yang, Carl Wang, Yangzihao Owens, John D.

Index Begriffe: parallel, GPU, graph algorithm, sparse matrix multiplication, publication

URL: https://escholarship.org/uc/item/1rq9t3j3
https://escholarship.org/

A Systematic Survey of General Sparse Matrix-matrix Multiplication.

Autoren: JIANHUA GAO WEIXING JI FANGLI CHANG et al.

Quelle: ACM Computing Surveys; Dec2023, Vol. 55 Issue 12, p1-36, 36p

Schlagwörter: MULTIPLICATION, ARCHITECTURAL design, SCIENTIFIC computing, MATHEMATICAL optimization, DEEP learning, PARALLEL processing

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing.

Autoren: Pellauer, Michael Clemons, Jason Balaji, Vignesh et al.

Quelle: ACM Transactions on Computer Systems; Nov2023, Vol. 41 Issue 1-4, p1-30, 30p

Schlagwörter: DEEP learning, TENSOR algebra, SYMPHONY, SCIENTIFIC computing