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Fanny Nina Paravecino

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affiliation: Northeastern University, Boston, USA

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2020 – today

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2021
[c7]
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Fanny Nina Paravecino, J. Pablo Munoz:
Introduction to the Minitrack on Systems and Applications of Video Analytics. HICSS 2021: 1-2
2020
[c6]
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Fanny Nina Paravecino, J. Pablo Munoz:
Introduction to the Minitrack on Systems and Applications of Video Analytics. HICSS 2020: 1-2
[c5]
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Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino:
Efficient Algorithms for Device Placement of DNN Graph Operators. NeurIPS 2020
[i2]
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  - journals/corr/abs-2006-16423
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Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino:
Efficient Algorithms for Device Placement of DNN Graph Operators. CoRR abs/2006.16423 (2020)

2010 – 2019

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2017
[p1]
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  - books/sp/17/ParavecinoYFK17
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Fanny Nina Paravecino, Leiming Yu, Qianqian Fang, David R. Kaeli:
High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 67-85
[i1]
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  - journals/corr/abs-1711-03244
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Leiming Yu, Fanny Nina Paravecino, David R. Kaeli, Qianqian Fang:
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. CoRR abs/1711.03244 (2017)
2016
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  - conf/sc/GutierrezPK16
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Julian Gutierrez, Fanny Nina Paravecino, David R. Kaeli:
A Fast Level-Set Segmentation Algorithm for Image Processing Designed For Parallel Architectures. IA3@SC 2016: 66-69
2015
[c3]
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  - conf/iwocl/MukherjeeGYMUDP15
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Saoni Mukherjee, Xiang Gong, Leiming Yu, Carter McCardwell, Yash Ukidave, Tuan Dao, Fanny Nina Paravecino, David R. Kaeli:
Exploring the features of OpenCL 2.0. IWOCL 2015: 5:1-5:5
[c2]
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Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David R. Kaeli:
NUPAR: A Benchmark Suite for Modern GPU Architectures. ICPE 2015: 253-264
2014
[c1]
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Fanny Nina Paravecino, David R. Kaeli:
Accelerated Connected Component Labeling Using CUDA Framework. ICCVG 2014: 502-509

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