| Energy-efficient acceleration of big data analytics applications using FPGAs K Neshatpour, M Malik, MA Ghodrat, A Sasan, H Homayoun 2015 IEEE International Conference on Big Data (Big Data), 115-123, 2015 | 89 | 2015 |
| ICNN: An iterative implementation of convolutional neural networks to enable energy and computational complexity aware dynamic approximation K Neshatpour, F Behnia, H Homayoun, A Sasan 2018 Design, automation & test in europe conference & exhibition (DATE), 551-556, 2018 | 40 | 2018 |
| Accelerating machine learning kernel in hadoop using fpgas K Neshatpour, M Malik, H Homayoun 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 36 | 2015 |
| Accelerating big data analytics using fpgas K Neshatpour, M Malik, MA Ghodrat, H Homayoun 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015 | 32 | 2015 |
| Architectural considerations for FPGA acceleration of Machine Learning Applications in MapReduce K Neshatpour, HM Mokrani, A Sasan, H Ghasemzadeh, S Rafatirad, ... Proceedings of the 18th international conference on embedded computer …, 2018 | 26 | 2018 |
| Big biomedical image processing hardware acceleration: A case study for K-means and image filtering K Neshatpour, A Koohi, F Farahmand, R Joshi, S Rafatirad, A Sasan, ... 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1134-1137, 2016 | 24 | 2016 |
| Big vs little core for energy-efficient Hadoop computing M Malik, K Neshatpour, S Rafatirad, RV Joshi, T Mohsenin, ... Journal of Parallel and Distributed Computing 129, 110-124, 2019 | 22 | 2019 |
| Exploiting energy-accuracy trade-off through contextual awareness in multi-stage convolutional neural networks K Neshatpour, F Behnia, H Homayoun, A Sasan 20th International Symposium on Quality Electronic Design (ISQED), 265-270, 2019 | 22 | 2019 |
| Big data analytics on heterogeneous accelerator architectures K Neshatpour, A Sasan, H Homayoun Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on …, 2016 | 21 | 2016 |
| Icnn: The iterative convolutional neural network K Neshatpour, H Homayoun, A Sasan ACM Transactions on Embedded Computing Systems (TECS) 18 (6), 1-27, 2019 | 19 | 2019 |
| Enhancing power, performance, and energy efficiency in chip multiprocessors exploiting inverse thermal dependence K Neshatpour, W Burleson, A Khajeh, H Homayoun IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (4), 778-791, 2018 | 18 | 2018 |
| Energy-efficient acceleration of MapReduce applications using FPGAs K Neshatpour, M Malik, A Sasan, S Rafatirad, T Mohsenin, ... Journal of Parallel and Distributed Computing 119, 1-17, 2018 | 17 | 2018 |
| Design space exploration for hardware acceleration of machine learning applications in mapreduce K Neshatpour, HM Makrani, A Sasan, H Ghasemzadeh, S Rafatirad, ... 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 16 | 2018 |
| A low-complexity high-throughput ASIC for the SC-FDMA MIMO detectors K Neshatpour, M Mahdavi, M Shabany 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 3065-3068, 2012 | 14 | 2012 |
| Hadoop workloads characterization for performance and energy efficiency optimizations on microservers M Malik, K Neshatpour, S Rafatirad, H Homayoun IEEE Transactions on Multi-Scale Computing Systems 4 (3), 355-368, 2017 | 12 | 2017 |
| A High-Throughput VLSI Architecture for Hard and Soft SC-FDMA MIMO Detectors K Neshatpour, M Shabany, G Gulak IEEE Transactions on Circuit and Systems I 62 (3), 761-770, 2015 | 9 | 2015 |
| Hardware accelerated mappers for Hadoop MapReduce streaming K Neshatpour, M Malik, A Sasan, S Rafatirad, H Homayoun IEEE Transactions on Multi-Scale Computing Systems 4 (4), 734-748, 2018 | 5 | 2018 |
| Revisiting dynamic thermal management exploiting inverse thermal dependence K Neshatpour, H Homayoun, A Khajeh, W Burleson Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 385-390, 2015 | 3 | 2015 |
| Iterative convolutional neural network (ICNN): an iterative CNN solution for low power and real-time systems K Neshatpour, H Homayoun, A Sasan Hardware Architectures for Deep Learning, 191, 2020 | | 2020 |
| Acceleration of Machine Learning Algorithms for Big Data Applications K Neshatpour George Mason University, 2018 | | 2018 |
Houman HomayounUniversity of California DavisVerified email at ucdavis.edu
