Literatura académica sobre el tema "Mixed precision"
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Artículos de revistas sobre el tema "Mixed precision"
Higham, Nicholas J. y Theo Mary. "Mixed precision algorithms in numerical linear algebra". Acta Numerica 31 (mayo de 2022): 347–414. http://dx.doi.org/10.1017/s0962492922000022.
Texto completoRalha, Rui. "Mixed Precision Bisection". Mathematics in Computer Science 12, n.º 2 (13 de marzo de 2018): 173–81. http://dx.doi.org/10.1007/s11786-018-0336-6.
Texto completoLiu, Xingchao, Mao Ye, Dengyong Zhou y Qiang Liu. "Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 10 (18 de mayo de 2021): 8697–705. http://dx.doi.org/10.1609/aaai.v35i10.17054.
Texto completoVan Zee, Field G., Devangi N. Parikh y Robert A. Van De Geijn. "Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework". ACM Transactions on Mathematical Software 47, n.º 2 (abril de 2021): 1–26. http://dx.doi.org/10.1145/3402225.
Texto completoKim, Han-Byul, Joo Hyung Lee, Sungjoo Yoo y Hong-Seok Kim. "MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 12 (24 de marzo de 2024): 13132–41. http://dx.doi.org/10.1609/aaai.v38i12.29212.
Texto completoKelley, C. T. "Newton's Method in Mixed Precision". SIAM Review 64, n.º 1 (febrero de 2022): 191–211. http://dx.doi.org/10.1137/20m1342902.
Texto completoLe Gallo, Manuel, Abu Sebastian, Roland Mathis, Matteo Manica, Heiner Giefers, Tomas Tuma, Costas Bekas, Alessandro Curioni y Evangelos Eleftheriou. "Mixed-precision in-memory computing". Nature Electronics 1, n.º 4 (abril de 2018): 246–53. http://dx.doi.org/10.1038/s41928-018-0054-8.
Texto completoMa, Yuexiao, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang y Rongrong Ji. "OMPQ: Orthogonal Mixed Precision Quantization". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 7 (26 de junio de 2023): 9029–37. http://dx.doi.org/10.1609/aaai.v37i7.26084.
Texto completoLee, Jong-Eun, Kyung-Bin Jang y Seung-Ho Lim. "Implementation and Performance Analysis of Mixed Precision-based CNN Inference". Journal of Korean Institute of Information Technology 21, n.º 12 (31 de diciembre de 2023): 77–85. http://dx.doi.org/10.14801/jkiit.2023.21.12.77.
Texto completoAl-Marakeby, A. "PRECISION ON DEMAND: A NOVEL LOSSLES MIXED-PRECISION COMPUTATION TECHNIQUE". Journal of Al-Azhar University Engineering Sector 15, n.º 57 (1 de octubre de 2020): 1046–56. http://dx.doi.org/10.21608/auej.2020.120378.
Texto completoTesis sobre el tema "Mixed precision"
Omland, Steffen [Verfasser]. "Mixed Precision Multilevel Monte Carlo Algorithms for Reconfigurable Computing Systems / Steffen Omland". München : Verlag Dr. Hut, 2016. http://d-nb.info/1113336447/34.
Texto completoMcEntee, Peter John. "The integration and validation of precision management tools in mixed farming systems". Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/54060.
Texto completoSteffy, Daniel E. "Topics in exact precision mathematical programming". Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39639.
Texto completoGerest, Matthieu. "Using Block Low-Rank compression in mixed precision for sparse direct linear solvers". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS447.
Texto completoIn order to solve large sparse linear systems, one may want to use a direct method, numerically robust but rather costly, both in terms of memory consumption and computation time. The multifrontal method belong to this class algorithms, and one of its high-performance parallel implementation is the solver MUMPS. One of the functionalities of MUMPS is the use of Block Low-Rank (BLR) matrix compression, that improves its performance. In this thesis, we present several new techniques aiming at further improving the performance of dense and sparse direct solvers, on top of using a BLR compression. In particular, we propose a new variant of BLR compression in which several floating-point formats are used simultaneously (mixed precision). Our approach is based on an error analysis, and it first allows to reduce the estimated cost of a LU factorization of a dense matrix, without having a significant impact on the error. Second, we adapt these algorithms to the multifrontal method. A first implementation uses our mixed-precision BLR compression as a storage format only, thus allowing to reduce the memory footprint of MUMPS. A second implementation allows to combine these memory gains with time reductions in the triangular solution phase, by switching computations to low precision. However, we notice performance issues related to BLR for this phase, in case the system has many right-hand sides. Therefore, we propose new BLR variants of triangular solution that improve the data locality and reduce data movements, as highlighted by a communication volume analysis. We implement our algorithms within a simplified prototype and within solver MUMPS. In both cases, we obtain time gains
Wolfram, Heiko. "Model Building, Control Design and Practical Implementation of a High Precision, High Dynamical MEMS Acceleration Sensor". Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501921.
Texto completoBustamante, Danilo. "High-Precision, Mixed-Signal Mismatch Measurement of Metal-Oxide-Metal Capacitors and a 13-GHz 5-bit 360-Degree Phase Shifter". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9240.
Texto completoGeifman, Nophar, Richard E. Kennedy, Lon S. Schneider, Iain Buchan y Roberta Diaz Brinton. "Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions". BIOMED CENTRAL LTD, 2018. http://hdl.handle.net/10150/627086.
Texto completoDi, Pace Brian S. "Site- and Location-Adjusted Approaches to Adaptive Allocation Clinical Trial Designs". VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5706.
Texto completoZulian, Marine. "Méthodes de sélection et de validation de modèles à effets mixtes pour la médecine génomique". Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX003.
Texto completoThe study of complex biological phenomena such as human pathophysiology, pharmacokinetics of a drug or its pharmacodynamics can be enriched by modelling and simulation approaches. Technological advances in genetics allow the establishment of data sets from larger and more heterogeneous populations. The challenge is then to develop tools that integrate genomic and phenotypic data to explain inter-individual variability. In this thesis, we develop methods that take into account the complexity of biological data and the complexity of underlying processes. Curation steps of genomic covariates allow us to limit the number of potential covariates and limit correlations between covariates. We propose an algorithm for selecting covariates in a mixed effects model whose structure is constrained by the physiological process. In particular, we illustrate the developed methods on two medical applications: actual high blood pressure data and simulated tramadol (opioid) metabolism data
Cardoso, Adilson Silva. "Design and characterization of BiCMOS mixed-signal circuits and devices for extreme environment applications". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53099.
Texto completoLibros sobre el tema "Mixed precision"
Li, Wei, Leilei Ji, Ramesh Agarwal, Weidong Shi y Ling Zhou. Mixed-flow Pumps: Modeling, Simulation, and Measurements. ASME-Wiley, 2024. http://dx.doi.org/10.1115/1.862mfp.
Texto completoChampion, Erik Malcolm, ed. Virtual Heritage: A Concise Guide. Ubiquity Press, 2021. http://dx.doi.org/10.5334/bck.
Texto completoArbustini, Eloisa, Valentina Favalli, Alessandro Di Toro, Alessandra Serio y Jagat Narula. Classification of cardiomyopathies. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0348.
Texto completoCapítulos de libros sobre el tema "Mixed precision"
Kaminsky, W. "Pyrolysis of Mixed Plastics". En Precision Process Technology, 65–74. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1759-3_6.
Texto completoStroup, Walter W., Marina Ptukhina y Julie Garai. "Precision, Power, Sample Size, and Planning". En Generalized Linear Mixed Models, 599–631. 2a ed. New York: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9780429092060-24.
Texto completoFevre, Ralph. "Interdisciplinary and Mixed Methods Approaches to Study Workplace Bullying, Emotional Abuse and Harassment". En Precision Manufacturing, 1–28. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5334-4_20-1.
Texto completoJ. Molendijk, Maarten, Floran A. M. de Putter y Henk Corporaal. "Low- and Mixed-Precision Inference Accelerators". En Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, 63–88. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19568-6_3.
Texto completoTsai, Yu-Hsiang Mike, Natalie Beams y Hartwig Anzt. "Mixed Precision Algebraic Multigrid on GPUs". En Parallel Processing and Applied Mathematics, 113–25. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30442-2_9.
Texto completoFuengfusin, Ninnart y Hakaru Tamukoh. "Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights". En Neural Information Processing, 614–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04179-3_54.
Texto completoMartel, Matthieu. "Floating-Point Format Inference in Mixed-Precision". En Lecture Notes in Computer Science, 230–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57288-8_16.
Texto completoHeimlich, A., A. C. A. Alvim, F. C. Silva y A. S. Martinez. "GPU Based Mixed Precision PWR Depletion Calculation". En Integral Methods in Science and Engineering, Volume 2, 127–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59387-6_13.
Texto completoGeorgescu, Serban y Hiroshi Okuda. "Automatically Tuned Mixed-Precision Conjugate Gradient Solver". En Software Automatic Tuning, 103–19. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6935-4_7.
Texto completoWang, Mingkai, Taisong Jin, Miaohui Zhang y Zhengtao Yu. "CSMPQ: Class Separability Based Mixed-Precision Quantization". En Lecture Notes in Computer Science, 544–55. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4755-3_47.
Texto completoActas de conferencias sobre el tema "Mixed precision"
Santos, Fernando Fernandes dos, Marcelo Brandalero, Pedro Martins Basso, Michael Hubner, Luigi Carro y Paolo Rech. "Reduced-Precision DWC for Mixed-Precision GPUs". En 2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS). IEEE, 2020. http://dx.doi.org/10.1109/iolts50870.2020.9159748.
Texto completoGeng, Xue, Jie Lin y Shaohua Li. "Cascaded Mixed-Precision Networks". En 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190760.
Texto completoLoe, Jennifer y Sivasankaran Rajamanickam. "Mixed Precision in Trilinos." En Proposed for presentation at the Trilinos User Group Meeting held November 30-December 2, 2021 in ,. US DOE, 2021. http://dx.doi.org/10.2172/1900352.
Texto completoDamouche, Nasrine y Matthieu Martel. "Mixed Precision Tuning with Salsa". En International Conference on Pervasive and Embedded Computing. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006915500470056.
Texto completoDamouche, Nasrine y Matthieu Martel. "Mixed Precision Tuning with Salsa". En International Conference on Pervasive and Embedded Computing. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006915501850194.
Texto completoLoe, Jennifer, Christian Glusa, Ichitaro Yamazaki, Erik Boman y Sivasankaran Rajamanickam. "Mixed Precision Strategies for GMRES." En Proposed for presentation at the SIAM Parallel Processing 2022 held February 23-26, 2022 in Virtual,. US DOE, 2022. http://dx.doi.org/10.2172/2001827.
Texto completoLoe, Jennifer, Christian Glusa, Ichitaro Yamazaki, Erik Boman y Sivasankaran Rajamanickam. "Mixed-Precision GMRES in Trilinos." En Proposed for presentation at the Sandia Postdoctoral Technical Showcase held December 9-10, 2020 in Albuquerque, NM. US DOE, 2020. http://dx.doi.org/10.2172/1833786.
Texto completoBulat, Adrian y Georgios Tzimiropoulos. "Bit-Mixer: Mixed-precision networks with runtime bit-width selection". En 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00514.
Texto completoFang, Bo, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker y Ang Li. "Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications". En 2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS). IEEE, 2022. http://dx.doi.org/10.1109/ftxs56515.2022.00010.
Texto completoDarulova, Eva, Einar Horn y Saksham Sharma. "Sound Mixed-Precision Optimization with Rewriting". En 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 2018. http://dx.doi.org/10.1109/iccps.2018.00028.
Texto completoInformes sobre el tema "Mixed precision"
Higham, N. y S. Pranesh. Mixed Precision xsdk Project Final Report. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1777343.
Texto completoCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), junio de 2021. http://dx.doi.org/10.2172/1798446.
Texto completoAbdelfattah, A., H. Anzt, A. Ayala, E. Boman, E. Carson, S. Cayrols, T. Cojean et al. Advances in Mixed Precision Algorithms: 2021 Edition. Office of Scientific and Technical Information (OSTI), agosto de 2021. http://dx.doi.org/10.2172/1814677.
Texto completoAbdelfattah, Ahmad, Hartwig Anzt, Alan Ayala, Erik Boman, Erin Carson, Sebastien Cayrols, Terry Cojean et al. Advances in Mixed Precision Algorithms: 2021 Edition. Office of Scientific and Technical Information (OSTI), agosto de 2021. http://dx.doi.org/10.2172/1814447.
Texto completoCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), junio de 2022. http://dx.doi.org/10.2172/1872699.
Texto completoCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), octubre de 2023. http://dx.doi.org/10.2172/2204467.
Texto completoCarson, E. Final Report: Mixed Precision Numerical Linear Algebra. Office of Scientific and Technical Information (OSTI), diciembre de 2023. http://dx.doi.org/10.2172/2280470.
Texto completoAnzt, H., E. Boman, M. Gates, S. Kruger, X. Li, J. Loe, D. Osei-Kuffuor, S. Tomov, Y. Tsai y U. Yang. Towards Use of Mixed Precision in ECP Math Libraries. Office of Scientific and Technical Information (OSTI), noviembre de 2020. http://dx.doi.org/10.2172/1762902.
Texto completoAntz, Hartwig, Erik Boman, Mark Gates, Scott Kruger, Sherry Li, Jennifer Loe, Daniel Osei-Kuffuor, Stan Tomov, Yaohung Tsai y Ulrike Meier Yang. Towards Use of Mixed Precision in ECP Math Libraries. Office of Scientific and Technical Information (OSTI), diciembre de 2020. http://dx.doi.org/10.2172/1735694.
Texto completoHigham, N. Mixed Precision xsdk Project: Final Report for Subcontract B650966. Office of Scientific and Technical Information (OSTI), octubre de 2023. http://dx.doi.org/10.2172/2204465.
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