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1Conference
ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems
Authors: Li, Shunde, Wang, Zongguo, Bu, Lingkun, Wang, Jue, Xin, Zhikuang, Li, Shigang, Wang, Yangang, Feng, Yangde, Shi, Peng, Hu, Yun, Chi, Xuebin
Source: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis High Performance Computing, Networking, Storage and Analysis, SC23: International Conference for. :1-13 Nov, 2023
Relation: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis
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2Academic Journal
Authors: Petit, Quentin, Li, Chong, Emad, Nahid
Contributors: Petit, Quentin, Huawei Technologies France, Huawei Technologies France Boulogne-Billancourt, Maison de la Simulation (MDLS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués (LI-PaRAD), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Source: Proceedings of the 38th ACM International Conference on Supercomputing. :286-297
Subject Terms: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Information extraction, Natural language processing, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Parallel, Distributed computing, Sparse matrix, Computing methodologies → Massively parallel algorithms, and Cluster Computing [cs.DC], Large-scale data analytics, Control methods Deep Learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Co-occurrence matrix, Computing methodologies → Massively parallel algorithms Natural language processing Information extraction Control methods Deep Learning, Embedding
File Description: application/pdf
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3Conference
Authors: Tabar, Asmae Heydari, Bubel, Richard, Hahnle, Reiner
Source: 2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE) FORMALISE Formal Methods in Software Engineering (FormaliSE), 2022 IEEE/ACM 10th International Conference on. :34-45 May, 2022
Relation: 2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE)
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4Conference
Authors: Martinez, Xavier, Krone, Michael, Baaden, Marc
Contributors: Laboratoire de biochimie théorique Paris (LBT (UPR_9080)), Institut de biologie physico-chimique (IBPC (FR_550)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS), Visualization Research Centre, University of Stuttgart = Universität Stuttgart, Byska, Jan and Krone, Michael and Sommer, Björn
Source: Workshop on Molecular Graphics and Visual Analysis of Molecular Data ; MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2019 ; https://hal.science/hal-02370900 ; MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2019, Jun 2019, Porto, Portugal. ⟨10.2312/molva.20191095⟩
Subject Terms: Computing methodologies → Massively parallel algorithms, Massively parallel algorithms, Molecular structural biology, CCS Concepts, Applied computing → Molecular structural biology, [INFO]Computer Science [cs]
Time: Porto, Portugal
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5Academic Journal
Authors: Perkins, S.J. a, ⁎, Marais, P.C. a, Zwart, J.T.L. c, d, Natarajan, I. d, Tasse, C. e, f, Smirnov, O. b, g
Linked Full TextSource: In Astronomy and Computing September 2015 12:73-85
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6Conference
Authors: Petruzza, Steve, Venkat, Aniketh, Gyulassy, Attila, Scorzelli, Giorgio, Federer, Frederick, Angelucci, Alessandra, Pascucci, Valerio, Bremer, Peer Timo
Contributors: SCI Institute, University of Utah, United States, University of Rome Tor Vergata, Italy, Lawrence Livermore National Lab., United States
Subject Terms: Microscopy, Computing Methodologies → Massively Parallel Algorithms, Parallel Programming Languages, Software And Its Engineering → Development Frameworks And Environments, Integrated And Visual Development Environments, Interactive Visualization And Analysis, Algorithms Scalability, Parallel Custom Analysis Work-flows
Relation: Petruzza, S., Venkat, A., Gyulassy, A., Scorzelli, G., Federer, F., Angelucci, A., … Bremer, P.-T. (2017). ISAVS. SIGGRAPH Asia 2017 Symposium on Visualization. doi:10.1145/3139295.3139299; 2-s2.0-85040047900; PMC6105268; http://hdl.handle.net/10754/679392
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7Academic Journal
Authors: Pham M; University of South Florida, USA., Yuan Y; Beijing University of Technology, China., Li H; University of South Florida, USA., Mou C; University of South Florida, USA., Tu Y; University of South Florida, USA., Xu Z; Nanchang University, China., Meng J; University of South Florida, USA.
Source: ACM transactions on parallel computing [ACM Trans Parallel Comput] 2025 Mar; Vol. 12 (1). Date of Electronic Publication: 2025 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Association for Computing Machinery, Inc NLM ID: 9918937930806676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2329-4957 (Electronic) Linking ISSN: 23294949 NLM ISO Abbreviation: ACM Trans Parallel Comput Subsets: PubMed not MEDLINE