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ORCIDPinar Muyan-Özçelik
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- affiliation: California State University, Sacramento, Department of Computer Science
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2020 – today
- 2024
[c14]Ghassan Shobaki, Pinar Muyan-Özçelik, Josh Hutton, Bruce Linck, Vladislav Malyshenko, Austin Kerbow, Ronaldo Ramirez-Ortega, Vahl Scott Gordon:
Instruction Scheduling for the GPU on the GPU. CGO 2024: 435-447- 2023
- [j3]Taspon Gonggiatgul, Ghassan Shobaki
, Pinar Muyan-Özçelik:
A parallel branch-and-bound algorithm with history-based domination and its application to the sequential ordering problem. J. Parallel Distributed Comput. 172: 131-143 (2023) - [c13]Ghassan Shobaki, Taspon Gonggiatgul, Jacob Normington, Pinar Muyan-Özçelik:
Combining a Parallel Branch-and-Bound Algorithm with a Strong Heuristic to Solve the Sequential Ordering Problem. ICPP Workshops 2023: 162-166 - 2022
- [c12]Taspon Gonggiatgul, Ghassan Shobaki, Pinar Muyan-Özçelik:
A parallel branch-and-bound algorithm with history-based domination. PPoPP 2022: 439-440 - 2020
- [c11]Saumya Shah, Mahyar Zarghami, Pinar Muyan-Özçelik:
Accelerating Forward-Backward Sweep Power Flow Computation on the GPU. ICPP Workshops 2020: 7:1-7:9
2010 – 2019
- 2019
- [j2]Zhongyi Lin, Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection. IEEE Trans. Intell. Veh. 4(3): 385-395 (2019) - 2018
- [c10]Swarna Gopalan, Aditi Kulkarni, Arpitaben Narendrabhai Shah, Jun Dai, Jinsong Ouyang, Pinar Muyan-Özçelik, Xiaoyan Sun:
Don't Be Surprised: I See Your Mobile App Stealing Your Data. ICNC 2018: 774-778 - [c9]Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
FPGA versus GPU for Speed-Limit-Sign Recognition. ITSC 2018: 843-850 - [c8]Zhongyi Lin, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. Intelligent Vehicles Symposium 2018: 1197-1203 - 2017
- [j1]Pinar Muyan-Özçelik, John D. Owens:
Methods for multitasking among real-time embedded compute tasks running on the GPU. Concurr. Comput. Pract. Exp. 29(15) (2017) - [c7]Pinar Muyan-Özçelik:
A Hands-On Cross-Platform Mobile Programming Approach to Teaching OOP Concepts and Design Patterns. SECM@ICSE 2017: 33-39 - 2016
- [c6]Pinar Muyan-Özçelik, John D. Owens:
Multitasking Real-time Embedded GPU Computing Tasks. PMAM@PPoPP 2016: 78-87 - 2011
- [c5]Vladimir Glavtchev, Pinar Muyan-Özçelik, Jeffrey M. Ota, John D. Owens:
Feature-based speed limit sign detection using a graphics processing unit. Intelligent Vehicles Symposium 2011: 195-200 - 2010
- [c4]Pinar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens:
A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing. DAGM-Symposium 2010: 162-171
2000 – 2009
- 2008
- [c3]Pinar Muyan-Özçelik, John D. Owens, Junyi Xia, Sanjiv S. Samant:
Fast Deformable Registration on the GPU: A CUDA Implementation of Demons. ICCSA Workshops 2008: 223-233 - 2004
- [c2]Pinar Muyan-Özçelik, Alan K. Mackworth:
Situated robot design with prioritized constraints. IROS 2004: 1807-1814 - 2003
- [c1]Pinar Muyan, Nando de Freitas:
A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference. AISTATS 2003: 217-224
Coauthor Index
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