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ORCIDKatayoun Neshatpour
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2020 – today
- 2020
[j7]Katayoun Neshatpour, Houman Homayoun, Avesta Sasan:
ICNN: The Iterative Convolutional Neural Network. ACM Trans. Embed. Comput. Syst. 18(6): 119:1-119:27 (2020)
2010 – 2019
- 2019
- [j6]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129: 110-124 (2019) - [c12]Katayoun Neshatpour, Farnaz Behnia, Houman Homayoun, Avesta Sasan:
Exploiting Energy-Accuracy Trade-off through Contextual Awareness in Multi-Stage Convolutional Neural Networks. ISQED 2019: 265-270 - 2018
- [j5]Katayoun Neshatpour
, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119: 1-17 (2018) - [j4]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Houman Homayoun:
Hadoop Workloads Characterization for Performance and Energy Efficiency Optimizations on Microservers. IEEE Trans. Multi Scale Comput. Syst. 4(3): 355-368 (2018) - [j3]Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hardware Accelerated Mappers for Hadoop MapReduce Streaming. IEEE Trans. Multi Scale Comput. Syst. 4(4): 734-748 (2018) - [j2]Katayoun Neshatpour, Wayne P. Burleson, Amin Khajeh, Houman Homayoun:
Enhancing Power, Performance, and Energy Efficiency in Chip Multiprocessors Exploiting Inverse Thermal Dependence. IEEE Trans. Very Large Scale Integr. Syst. 26(4): 778-791 (2018) - [c11]Katayoun Neshatpour, Farnaz Behnia, Houman Homayoun, Avesta Sasan:
ICNN: An iterative implementation of convolutional neural networks to enable energy and computational complexity aware dynamic approximation. DATE 2018: 551-556 - [c10]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM 2018: 221 - [c9]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS 2018: 89-96 - 2017
- [c8]Maria Malik, Katayoun Neshatpour, Tinoosh Mohsenin, Avesta Sasan, Houman Homayoun:
Big vs little core for energy-efficient Hadoop computing. DATE 2017: 1480-1485 - 2016
- [c7]Katayoun Neshatpour, Avesta Sasan, Houman Homayoun:
Big data analytics on heterogeneous accelerator architectures. CODES+ISSS 2016: 16:1-16:3 - [c6]Katayoun Neshatpour, Arezou Koohi, Farnoud Farahmand, Rajiv V. Joshi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Big biomedical image processing hardware acceleration: A case study for K-means and image filtering. ISCAS 2016: 1134-1137 - 2015
- [j1]Katayoun Neshatpour, Mahdi Shabany, P. Glenn Gulak:
A High-Throughput VLSI Architecture for Hard and Soft SC-FDMA MIMO Detectors. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(3): 761-770 (2015) - [c5]Katayoun Neshatpour, Maria Malik, Mohammad Ali Ghodrat, Avesta Sasan, Houman Homayoun:
Energy-efficient acceleration of big data analytics applications using FPGAs. IEEE BigData 2015: 115-123 - [c4]Katayoun Neshatpour, Maria Malik, Houman Homayoun:
Accelerating Machine Learning Kernel in Hadoop Using FPGAs. CCGRID 2015: 1151-1154 - [c3]Katayoun Neshatpour, Maria Malik, Mohammad Ali Ghodrat, Houman Homayoun:
Accelerating Big Data Analytics Using FPGAs. FCCM 2015: 164 - [c2]Katayoun Neshatpour, Houman Homayoun, Amin Khajeh, Wayne P. Burleson:
Revisiting Dynamic Thermal Management Exploiting Inverse Thermal Dependence. ACM Great Lakes Symposium on VLSI 2015: 385-390 - 2012
- [c1]Katayoun Neshatpour, Mojtaba Mahdavi, Mahdi Shabany:
A low-complexity high-throughput ASIC for the SC-FDMA MIMO detectors. ISCAS 2012: 3065-3068
Coauthor Index
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