Heterogeneous Parallel Programming
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Coursera, Feb 2013
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Coursera, Feb 2013
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Udacity, Aug 2015
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Coursera, Jan 2015
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Coursera, Aug 2015
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Coursera, March 2019
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Short description of portfolio item number 1
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Short description of portfolio item number 2
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Published in Proceedings of the 6th International Conference on Information Technology – New Generations, ITNG 2009, 2009
Published in Proceedings of the 2009 ASEE NE American Society for Engineering Education Conference, 2009
Published in 40th Annual Northeast Bioengineering Conference (NEBEC). IEEE, 2014., 2014
Recommended citation: Zhang, Yan, Leiming Yu, David Kaeli, and Lee Makowski. "Fast simulation of x-ray diffraction patterns from cellulose fibrils using gpus." In 2014 40th Annual Northeast Bioengineering Conference (NEBEC), pp. 1-2. IEEE, 2014.
Published in 43rd International Conference on Parallel Processing Workshops, 2014
Recommended citation: Yu, Leiming, Yash Ukidave, and David Kaeli. "GPU-Accelerated HMM for speech recognition." In 2014 43rd International Conference on Parallel Processing Workshops, pp. 395-402. IEEE, 2014.
Published in the 8th Workshop on General Purpose Processing using GPUs, 2015
Recommended citation: Yu, Leiming, Yan Zhang, Xiang Gong, Nilay Roy, Lee Makowski, and David Kaeli. "High performance computing of fiber scattering simulation." In Proceedings of the 8th Workshop on General Purpose Processing using GPUs, pp. 90-98. ACM, 2015.
Published in the 6th ACM/SPEC International Conference on Performance Engineering, 2015
Recommended citation: Ukidave, Yash, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, and David Kaeli. "Nupar: A benchmark suite for modern gpu architectures." In Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, pp. 253-264. ACM, 2015.
Published in the 3rd International Workshop on OpenCL, 2015
Recommended citation: Mukherjee, Saoni, Xiang Gong, Leiming Yu, Carter McCardwell, Yash Ukidave, Tuan Dao, Fanny Nina Paravecino, and David Kaeli. "Exploring the features of OpenCL 2.0." In Proceedings of the 3rd International Workshop on OpenCL, p. 5. ACM, 2015.
Published in ALLDATA, 2015
Recommended citation: Li, Xiangyu, Leiming Yu, David Kaeli, Yuanyuan Yao, Poguang Wang, Roger Giese, and Akram Alshawabkeh. "Big Data Analysis on Puerto Rico Testsite for Exploring Contamination Threats." ALLDATA (2015).
Published in the 6th Annual Boston Area Architecture Workshop, 2015
Published in Journal of Applied Crystallography, 2016
Recommended citation: Zhang, Yan, Hideyo Inouye, Michael Crowley, Leiming Yu, David Kaeli, and Lee Makowski. "Diffraction pattern simulation of cellulose fibrils using distributed and quantized pair distances." Journal of Applied Crystallography 49, no. 6 (2016): 2244-2248.
Published in 2016 IEEE International Symposium on Workload Characterization (IISWC), 2016
Recommended citation: Sun, Yifan, Xiang Gong, Amir Kavyan Ziabari, Leiming Yu, Xiangyu Li, Saoni Mukherjee, Carter McCardwell, Alejandro Villegas, and David Kaeli. "Hetero-mark, a benchmark suite for CPU-GPU collaborative computing." In 2016 IEEE International Symposium on Workload Characterization (IISWC), pp. 1-10. IEEE, 2016.
Published in IARIA Journal, 2016
Published in Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017
Recommended citation: Nina-Paravecino, Fanny, Leiming Yu, Qianqian Fang, and David Kaeli. "High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging." In Handbook of Large-Scale Distributed Computing in Smart Healthcare, pp. 67-85. Springer, Cham, 2017.
Published in Boston Area Architecture Workshop, 2017
Published in 2017 IEEE International Symposium on Workload Characterization (IISWC), 2017
Recommended citation: Yu, Leiming, Xun Gong, Yifan Sun, Qianqian Fang, Norm Rubin, and David Kaeli. "Moka: Model-based concurrent kernel analysis." In 2017 IEEE International Symposium on Workload Characterization (IISWC), pp. 197-206. IEEE, 2017.
Published in the General Purpose GPUs ACM 2017, 2017
Recommended citation: Yu, Leiming, Abraham Goldsmith, and Stefano Di Cairano. "Efficient convex optimization on gpus for embedded model predictive control." In Proceedings of the General Purpose GPUs, pp. 12-21. ACM, 2017.
Published in Optical Tomography and Spectroscopy, 2018
Recommended citation: Yuan, Yaoshen, Leiming Yu, and Qianqian Fang. "Denoising in Monte Carlo photon transport simulations using GPU-accelerated adaptive non-local mean filter." In Optical Tomography and Spectroscopy, pp. JTh3A-41. Optical Society of America, 2018.
Published in Journal of biomedical optics, 2018
Recommended citation: Yuan, Yaoshen, Leiming Yu, Zafer Doğan, and Qianqian Fang. "Graphics processing units-accelerated adaptive nonlocal means filter for denoising three-dimensional Monte Carlo photon transport simulations." Journal of biomedical optics 23, no. 12 (2018): 121618.
Published in Clinical and Translational Biophotonics, 2018
Recommended citation: Yu, Leiming, Fanny Nina-Paravecino, David Kaeli, and Qianqian Fang. "Fast Monte Carlo Photon Transport Simulations for Heterogeneous Computing Systems." In Clinical and Translational Biophotonics, pp. JTh3A-38. Optical Society of America, 2018.
Published in Journal of biomedical optics, 2018
Recommended citation: Yu, Leiming, Fanny Nina-Paravecino, David Kaeli, and Qianqian Fang. "Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms." Journal of biomedical optics 23, no. 1 (2018): 010504.
Published in 2018 IEEE International Conference on Big Data (Big Data), 2018
Recommended citation: Dong, Shi, Zlatan Feric, Leiming Yu, David Kaeli, John Meeker, Ingrid Y. Padilla, Jose Cordero, Carmen Velez Vega, Zaira Rosario, and Akram Alshawabkeh. "An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT)." In 2018 IEEE International Conference on Big Data (Big Data), pp. 5316-5318. IEEE, 2018.
Published in Journal of Biomedical Optics, 2022
Recommended citation: Ardakani, Matin Raayai, Leiming Yu, David R. Kaeli, and Qianqian Fang. "Framework for denoising Monte Carlo photon transport simulations using deep learning." Journal of Biomedical Optics 27, no. 8 (2022): 083019.
Published in SPIE, 2022
Recommended citation: Zamyatin, Alexander A., Leiming Yu, and David Rozas. "3D residual convolutional neural network for low dose CT denoising." In Medical Imaging 2022: Physics of Medical Imaging, vol. 12031, pp. 634-645. SPIE, 2022.
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Graduate course, University of Bridgeport (2008-2010), 2008
Graduate course, Northeastern University, 2013
Graduate course, Northeastern University (2015 - 2017), 2015
Invited lectures, Philips, 2017