Tinoosh Mohsenin, Ph.D.
Affiliations: | 2010 | Electrical and Computer Engineering | University of California, Davis, Davis, CA |
Area:
Electronics and Electrical Engineering, Computer EngineeringGoogle:
"Tinoosh Mohsenin"Parents
Sign in to add mentor| Bevan M. Baas | grad student | 2010 | UC Davis | |
| (Algorithms and Architectures for Efficient Low Density Parity Check (LDPC) Decoder Hardware.) | ||||
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Publications
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| Shea C, Mohsenin T. (2019) Heterogeneous Scheduling of Deep Neural Networks for Low-power Real-time Designs Acm Journal On Emerging Technologies in Computing Systems. 15: 1-31 |
| Jafari A, Ganesan A, Thalisetty CSK, et al. (2019) SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification Ieee Transactions On Circuits and Systems I: Regular Papers. 66: 274-287 |
| Malik M, Neshatpour K, Rafatirad S, et al. (2019) Big vs little core for energy-efficient Hadoop computing Journal of Parallel and Distributed Computing. 129: 110-124 |
| Jafari A, Buswell N, Ghovanloo M, et al. (2018) A Low-Power Wearable Stand-Alone Tongue Drive System for People With Severe Disabilities. Ieee Transactions On Biomedical Circuits and Systems. 12: 58-67 |
| Hajkazemi MH, Tavana MK, Mohsenin T, et al. (2018) Heterogeneous HMC+DDRx Memory Management for Performance-Temperature Tradeoffs Acm Journal On Emerging Technologies in Computing Systems. 14: 1-21 |
| Kulkarni A, Shea C, Abtahi T, et al. (2018) Low Overhead CS-Based Heterogeneous Framework for Big Data Acceleration Acm Transactions On Embedded Computing Systems. 17: 1-25 |
| Abtahi T, Shea C, Kulkarni A, et al. (2018) Accelerating Convolutional Neural Network With FFT on Embedded Hardware Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 26: 1737-1749 |
| Kulkarni A, Page A, Attaran N, et al. (2018) An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 26: 96-109 |
| Attaran N, Puranik A, Brooks J, et al. (2018) Embedded Low-Power Processor for Personalized Stress Detection Ieee Transactions On Circuits and Systems Ii: Express Briefs. 65: 2032-2036 |
| Neshatpour K, Malik M, Sasan A, et al. (2018) Energy-efficient acceleration of MapReduce applications using FPGAs Journal of Parallel and Distributed Computing. 119: 1-17 |