Artykuły w czasopismach na temat „GPU Systems”
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Jararweh, Yaser, Moath Jarrah, and Abdelkader Bousselham. "GPU Scaling." International Journal of Information Technology and Web Engineering 9, no. 4 (2014): 13–23. http://dx.doi.org/10.4018/ijitwe.2014100102.
Pełny tekst źródłaDematte, L., and D. Prandi. "GPU computing for systems biology." Briefings in Bioinformatics 11, no. 3 (2010): 323–33. http://dx.doi.org/10.1093/bib/bbq006.
Pełny tekst źródłaBan, Zhihua, Jianguo Liu, and Jeremy Fouriaux. "GMMSP on GPU." Journal of Real-Time Image Processing 17, no. 2 (2018): 245–57. http://dx.doi.org/10.1007/s11554-018-0762-3.
Pełny tekst źródłaGeorgii, Joachim, and Rüdiger Westermann. "Mass-spring systems on the GPU." Simulation Modelling Practice and Theory 13, no. 8 (2005): 693–702. http://dx.doi.org/10.1016/j.simpat.2005.08.004.
Pełny tekst źródłaHuynh, Huynh Phung, Andrei Hagiescu, Ong Zhong Liang, Weng-Fai Wong, and Rick Siow Mong Goh. "Mapping Streaming Applications onto GPU Systems." IEEE Transactions on Parallel and Distributed Systems 25, no. 9 (2014): 2374–85. http://dx.doi.org/10.1109/tpds.2013.195.
Pełny tekst źródłaDeniz, Etem, and Alper Sen. "MINIME-GPU." ACM Transactions on Architecture and Code Optimization 12, no. 4 (2016): 1–25. http://dx.doi.org/10.1145/2818693.
Pełny tekst źródłaBraak, Gert-Jan Van Den, and Henk Corporaal. "R-GPU." ACM Transactions on Architecture and Code Optimization 13, no. 1 (2016): 1–24. http://dx.doi.org/10.1145/2890506.
Pełny tekst źródłaINO, Fumihiko, Shinta NAKAGAWA, and Kenichi HAGIHARA. "GPU-Chariot: A Programming Framework for Stream Applications Running on Multi-GPU Systems." IEICE Transactions on Information and Systems E96.D, no. 12 (2013): 2604–16. http://dx.doi.org/10.1587/transinf.e96.d.2604.
Pełny tekst źródłaRosenfeld, Viktor, Sebastian Breß, and Volker Markl. "Query Processing on Heterogeneous CPU/GPU Systems." ACM Computing Surveys 55, no. 1 (2023): 1–38. http://dx.doi.org/10.1145/3485126.
Pełny tekst źródłaBesozzi, Daniela, Giulio Caravagna, Paolo Cazzaniga, Marco Nobile, Dario Pescini, and Alessandro Re. "GPU-powered Simulation Methodologies for Biological Systems." Electronic Proceedings in Theoretical Computer Science 130 (September 30, 2013): 87–91. http://dx.doi.org/10.4204/eptcs.130.14.
Pełny tekst źródłaODAKA, Fumihiro, and Kenkichi SATO. "S2030201 GPU Computing Systems: History and Application." Proceedings of Mechanical Engineering Congress, Japan 2014 (2014): _S2030201——_S2030201—. http://dx.doi.org/10.1299/jsmemecj.2014._s2030201-.
Pełny tekst źródłaMaza, Marc Moreno, and Wei Pan. "Solving Bivariate Polynomial Systems on a GPU." Journal of Physics: Conference Series 341 (February 9, 2012): 012022. http://dx.doi.org/10.1088/1742-6596/341/1/012022.
Pełny tekst źródłaODAGAWA, Masato, Yuriko TAKESHIMA, Issei FUJISHIRO, Gota KIKUGAWA, and Taku OHARA. "GPU-Based Adaptive Visualization for Particle Systems." TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B 77, no. 781 (2011): 1767–78. http://dx.doi.org/10.1299/kikaib.77.1767.
Pełny tekst źródłaMaza, Marc Moreno, and Wei Pan. "Solving bivariate polynomial systems on a GPU." ACM Communications in Computer Algebra 45, no. 1/2 (2011): 127–28. http://dx.doi.org/10.1145/2016567.2016589.
Pełny tekst źródłaJiang, Hai, Yi Chen, Zhi Qiao, Kuan-Ching Li, WonWoo Ro, and Jean-Luc Gaudiot. "Accelerating MapReduce framework on multi-GPU systems." Cluster Computing 17, no. 2 (2013): 293–301. http://dx.doi.org/10.1007/s10586-013-0276-5.
Pełny tekst źródłaBernaschi, M., M. Fatica, G. Parisi, and L. Parisi. "Multi-GPU codes for spin systems simulations." Computer Physics Communications 183, no. 7 (2012): 1416–21. http://dx.doi.org/10.1016/j.cpc.2012.02.015.
Pełny tekst źródłaIno, Fumihiko, Akihiro Ogita, Kentaro Oita, and Kenichi Hagihara. "Cooperative multitasking for GPU-accelerated grid systems." Concurrency and Computation: Practice and Experience 24, no. 1 (2011): 96–107. http://dx.doi.org/10.1002/cpe.1722.
Pełny tekst źródłaLamas-Rodríguez, Julián, Dora B. Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, and Montserrat Bóo. "GPU-accelerated level-set segmentation." Journal of Real-Time Image Processing 12, no. 1 (2013): 15–29. http://dx.doi.org/10.1007/s11554-013-0378-6.
Pełny tekst źródłaMeng, Wanwan, Yongguang Cheng, Jiayang Wu, Zhiyan Yang, Yunxian Zhu, and Shuai Shang. "GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems." Applied Sciences 9, no. 1 (2018): 91. http://dx.doi.org/10.3390/app9010091.
Pełny tekst źródłaZhou, Zhe, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, and Rui Liu. "Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU." Proceedings on Privacy Enhancing Technologies 2017, no. 2 (2017): 57–73. http://dx.doi.org/10.1515/popets-2017-0016.
Pełny tekst źródłaCampeanu, Gabriel, and Mehrdad Saadatmand. "A Two-Layer Component-Based Allocation for Embedded Systems with GPUs." Designs 3, no. 1 (2019): 6. http://dx.doi.org/10.3390/designs3010006.
Pełny tekst źródłaChen, Yong, Hai Jin, Han Jiang, Dechao Xu, Ran Zheng, and Haocheng Liu. "Implementation and Optimization of GPU-Based Static State Security Analysis in Power Systems." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/1897476.
Pełny tekst źródłaTran, Giang Son, Thi Phuong Nghiem, and Jean-Christophe Burie. "Fast parallel blur detection on GPU." Journal of Real-Time Image Processing 17, no. 4 (2018): 903–13. http://dx.doi.org/10.1007/s11554-018-0837-1.
Pełny tekst źródłaAbell, Stephen, Nhan Do, and John Jaehwan Lee. "GPU-OSDDA: a bit-vector GPU-based deadlock detection algorithm for single-unit resource systems." International Journal of Parallel, Emergent and Distributed Systems 31, no. 5 (2015): 450–68. http://dx.doi.org/10.1080/17445760.2015.1100301.
Pełny tekst źródłaAbell, Stephen, Nhan Do, and John Jaehwan Lee. "GPU-LMDDA: a bit-vector GPU-based deadlock detection algorithm for multi-unit resource systems." International Journal of Parallel, Emergent and Distributed Systems 31, no. 6 (2016): 562–90. http://dx.doi.org/10.1080/17445760.2016.1140761.
Pełny tekst źródłaWang, Long, Masaki Iwasawa, Keigo Nitadori, and Junichiro Makino. "petar: a high-performance N-body code for modelling massive collisional stellar systems." Monthly Notices of the Royal Astronomical Society 497, no. 1 (2020): 536–55. http://dx.doi.org/10.1093/mnras/staa1915.
Pełny tekst źródłaKopysov, S. P., A. K. Novikov, and Yu A. Sagdeeva. "Solving of discontinuous Galerkin method systems on GPU." Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, no. 4 (December 2011): 121–31. http://dx.doi.org/10.20537/vm110411.
Pełny tekst źródłaMartínez-del-Amor, Miguel A., Manuel García-Quismondo, Luis F. Macías-Ramos, Luis Valencia-Cabrera, Agustin Riscos-Núñez, and Mario J. Pérez-Jiménez. "Simulating P Systems on GPU Devices: A Survey." Fundamenta Informaticae 136, no. 3 (2015): 269–84. http://dx.doi.org/10.3233/fi-2015-1157.
Pełny tekst źródłavan Pelt, Roy, Anna Vilanova, and Huub van de Wetering. "Illustrative Volume Visualization Using GPU-Based Particle Systems." IEEE Transactions on Visualization and Computer Graphics 16, no. 4 (2010): 571–82. http://dx.doi.org/10.1109/tvcg.2010.32.
Pełny tekst źródłaAnzt, Hartwig, Stanimire Tomov, Mark Gates, Jack Dongarra, and Vincent Heuveline. "Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems." Procedia Computer Science 9 (2012): 7–16. http://dx.doi.org/10.1016/j.procs.2012.04.002.
Pełny tekst źródłaGaliano, V., H. Migallón, V. Migallón, and J. Penadés. "GPU-based parallel algorithms for sparse nonlinear systems." Journal of Parallel and Distributed Computing 72, no. 9 (2012): 1098–105. http://dx.doi.org/10.1016/j.jpdc.2011.10.016.
Pełny tekst źródłaNere, Andrew, Sean Franey, Atif Hashmi, and Mikko Lipasti. "Simulating cortical networks on heterogeneous multi-GPU systems." Journal of Parallel and Distributed Computing 73, no. 7 (2013): 953–71. http://dx.doi.org/10.1016/j.jpdc.2012.02.006.
Pełny tekst źródłaMastrostefano, Enrico, and Massimo Bernaschi. "Efficient breadth first search on multi-GPU systems." Journal of Parallel and Distributed Computing 73, no. 9 (2013): 1292–305. http://dx.doi.org/10.1016/j.jpdc.2013.05.007.
Pełny tekst źródłaAcosta, Alejandro, Vicente Blanco, and Francisco Almeida. "Dynamic load balancing on heterogeneous multi-GPU systems." Computers & Electrical Engineering 39, no. 8 (2013): 2591–602. http://dx.doi.org/10.1016/j.compeleceng.2013.08.004.
Pełny tekst źródłaDastgeer, Usman, and Christoph Kessler. "Performance-aware composition framework for GPU-based systems." Journal of Supercomputing 71, no. 12 (2014): 4646–62. http://dx.doi.org/10.1007/s11227-014-1105-1.
Pełny tekst źródłaJo, Heeseung, Seung-Tae Hong, Jae-Woo Chang, and Dong Hoon Choi. "Offloading data encryption to GPU in database systems." Journal of Supercomputing 69, no. 1 (2014): 375–94. http://dx.doi.org/10.1007/s11227-014-1159-0.
Pełny tekst źródłaVuduc, Richard, and Kent Czechowski. "What GPU Computing Means for High-End Systems." IEEE Micro 31, no. 4 (2011): 74–78. http://dx.doi.org/10.1109/mm.2011.78.
Pełny tekst źródłada Silva Junior, Jose Ricardo, Esteban Clua, and Leonardo Murta. "Efficient image-aware version control systems using GPU." Software: Practice and Experience 46, no. 8 (2015): 1011–33. http://dx.doi.org/10.1002/spe.2340.
Pełny tekst źródłaGembris, Daniel, Markus Neeb, Markus Gipp, Andreas Kugel, and Reinhard Männer. "Correlation analysis on GPU systems using NVIDIA’s CUDA." Journal of Real-Time Image Processing 6, no. 4 (2010): 275–80. http://dx.doi.org/10.1007/s11554-010-0162-9.
Pełny tekst źródłaYOO, SEUNG-HUN, and CHANG-SUNG JEONG. "IMAGE REGISTRATION AND FUSION SYSTEM BASED ON GPU." Journal of Circuits, Systems and Computers 19, no. 01 (2010): 173–89. http://dx.doi.org/10.1142/s0218126610006049.
Pełny tekst źródłaKumar, Anshuman, Pablo R. Arantes, Aakash Saha, Giulia Palermo, and Bryan M. Wong. "GPU-Enhanced DFTB Metadynamics for Efficiently Predicting Free Energies of Biochemical Systems." Molecules 28, no. 3 (2023): 1277. http://dx.doi.org/10.3390/molecules28031277.
Pełny tekst źródłaNgo, Long Thanh, Dzung Dinh Nguyen, Long The Pham, and Cuong Manh Luong. "Speedup of Interval Type 2 Fuzzy Logic Systems Based on GPU for Robot Navigation." Advances in Fuzzy Systems 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/698062.
Pełny tekst źródłaDing, Yifan, Nicholas Botzer, and Tim Weninger. "HetSeq: Distributed GPU Training on Heterogeneous Infrastructure." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15432–38. http://dx.doi.org/10.1609/aaai.v35i17.17813.
Pełny tekst źródłaFu, Yaosheng, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, and Stephen W. Keckler. "GPU Domain Specialization via Composable On-Package Architecture." ACM Transactions on Architecture and Code Optimization 19, no. 1 (2022): 1–23. http://dx.doi.org/10.1145/3484505.
Pełny tekst źródłaRapaport, D. C. "GPU molecular dynamics: Algorithms and performance." Journal of Physics: Conference Series 2241, no. 1 (2022): 012007. http://dx.doi.org/10.1088/1742-6596/2241/1/012007.
Pełny tekst źródłaZhu, Rui, Chang Nian Chen, and Lei Hua Qin. "An Transfer Latency Optimized Solution in GPU-Accelerated De-Duplication." Applied Mechanics and Materials 336-338 (July 2013): 2059–62. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2059.
Pełny tekst źródłaDeFrancisco, Richard, Shenghsun Cho, Michael Ferdman, and Scott A. Smolka. "Swarm model checking on the GPU." International Journal on Software Tools for Technology Transfer 22, no. 5 (2020): 583–99. http://dx.doi.org/10.1007/s10009-020-00576-x.
Pełny tekst źródłaWang, Qihan, Zhen Peng, Bin Ren, Jie Chen, and Robert G. Edwards. "MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation." ACM Transactions on Architecture and Code Optimization 19, no. 2 (2022): 1–26. http://dx.doi.org/10.1145/3506705.
Pełny tekst źródłaZhang, Yu, Da Peng, Xiaofei Liao, et al. "LargeGraph." ACM Transactions on Architecture and Code Optimization 18, no. 4 (2021): 1–24. http://dx.doi.org/10.1145/3477603.
Pełny tekst źródłaWong, Un-Hong, Takayuki Aoki, and Hon-Cheng Wong. "Efficient magnetohydrodynamic simulations on distributed multi-GPU systems using a novel GPU Direct–MPI hybrid approach." Computer Physics Communications 185, no. 7 (2014): 1901–13. http://dx.doi.org/10.1016/j.cpc.2014.03.018.
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