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2020 – today
- 2023
[j27]Xunzhao Yin
, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1099-1112 (2023)- [j26]Cheng Zhuo, Zeyu Yang, Kai Ni, Mohsen Imani, Yuxuan Luo, Shaodi Wang, Deming Zhang, Xunzhao Yin:
Design of Ultracompact Content Addressable Memory Exploiting 1T-1MTJ Cell. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1450-1462 (2023) - [c131]Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang:
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560 - [c130]Sercan Aygun, M. Hassan Najafi, Mohsen Imani:
A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE 2023: 1-2 - [c129]Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani:
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2 - [c128]Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani:
HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE 2023: 1-6 - [c127]Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim:
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE 2023: 1-6 - [c126]Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes:
Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI 2023: 225-226 - [c125]Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes:
Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI 2023: 273-279 - [c124]Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng:
Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI 2023: 397-401 - [c123]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI 2023: 449-453 - [i25]Jingyao Zhang, Mohsen Imani, Elaheh Sadredini:
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. CoRR abs/2303.00173 (2023) - [i24]Junyao Wang, Sitao Huang, Mohsen Imani:
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR abs/2304.05503 (2023) - [i23]Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani:
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR abs/2304.06728 (2023) - 2022
- [j25]Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test 39(2): 56-64 (2022) - [j24]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37(4): 44-55 (2022) - [j23]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing:
COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. 18(2): 37:1-37:25 (2022) - [j22]Chuangtao Chen, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability. IEEE Trans. Computers 71(10): 2473-2486 (2022) - [j21]Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 897-907 (2022) - [j20]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Raju Gottumukkala:
Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2423-2427 (2022) - [j19]Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing:
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. 21(3): 22:1-22:25 (2022) - [c122]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC 2022: 1379-1385 - [c121]Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.:
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS 2022: 25-34 - [c120]Mohsen Imani, Ali Zakeri, Hanning Chen, TaeHyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani:
Neural computation for robust and holographic face detection. DAC 2022: 31-36 - [c119]Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani:
Adaptive neural recovery for highly robust brain-like representation. DAC 2022: 367-372 - [c118]Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC 2022: 751-756 - [c117]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c116]Jongho Park, HyukJun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim:
QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. DAC 2022: 1159-1164 - [c115]Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani:
A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. DAC 2022: 1390-1391 - [c114]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c113]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [c112]Hanning Chen, Mohsen Imani:
Density-Aware Parallel Hyperdimensional Genome Sequence Matching. FCCM 2022: 1-4 - [c111]Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt:
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI 2022: 357-360 - [c110]Sizhe Zhang, Mohsen Imani, Xun Jiao:
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD 2022: 31:1-31:9 - [c109]Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani:
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD 2022: 34:1-34:9 - [c108]Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani:
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD 2022: 84:1-84:9 - [c107]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 2022: 137:1-137:9 - [c106]Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani:
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA 2022: 656-669 - [i22]Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine. CoRR abs/2203.07948 (2022) - [i21]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR abs/2205.06978 (2022) - [i20]Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch:
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. CoRR abs/2207.04134 (2022) - [i19]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR abs/2207.12188 (2022) - [i18]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022) - [i17]Xunzhao Yin, Qingrong Huang, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory. CoRR abs/2209.11971 (2022) - 2021
- [j18]Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright:
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces. IEEE Trans. Inf. Forensics Secur. 16: 1594-1609 (2021) - [c105]Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing:
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT 2021: 1 - [c104]Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139 - [c103]Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing:
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC 2021: 384-389 - [c102]Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing:
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC 2021: 639-644 - [c101]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. DAC 2021: 7-12 - [c100]Alejandro Hernández-Cano, Rosario Cammarota, Mohsen Imani:
PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Systems. DAC 2021: 553-558 - [c99]Yeseong Kim, Jiseung Kim, Mohsen Imani:
CascadeHD: Efficient Many-Class Learning Framework Using Hyperdimensional Computing. DAC 2021: 775-780 - [c98]Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani:
Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. DAC 2021: 781-786 - [c97]Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani:
StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. DAC 2021: 1195-1200 - [c96]Alejandro Hernández-Cane, Namiko Matsumoto, Eric Ping, Mohsen Imani:
OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System. DATE 2021: 56-61 - [c95]Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing:
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE 2021: 330-335 - [c94]Ricardo Garcia, Fatemeh Asgarinejad, Behnam Khaleghi, Tajana Rosing, Mohsen Imani:
TruLook: A Framework for Configurable GPU Approximation. DATE 2021: 487-490 - [c93]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing:
HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. DATE 2021: 723-728 - [c92]Sahand Salamat, Jaeyoung Kang, Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
FPGA Acceleration of Protein Back-Translation and Alignment. DATE 2021: 822-827 - [c91]Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani:
ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE 2021: 850-855 - [c90]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. DATE 2021: 908-913 - [c89]Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE 2021: 1090-1095 - [c88]Alejandro Hernández-Cano, Yeseong Kim, Mohsen Imani:
A Framework for Efficient and Binary Clustering in High-Dimensional Space. DATE 2021: 1859-1864 - [c87]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
Real-Time and Robust Hyperdimensional Classification. ACM Great Lakes Symposium on VLSI 2021: 397-402 - [c86]Mohsen Imani, Zhuowen Zou, Samuel Bosch, Sanjay Anantha Rao, Sahand Salamat, Venkatesh Kumar, Yeseong Kim, Tajana Rosing:
Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. HPCA 2021: 221-234 - [c85]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. ICCAD 2021: 1-9 - [c84]Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing:
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD 2021: 1-9 - [c83]Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing:
AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD 2021: 93-100 - [c82]Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. ISLPED 2021: 1-6 - [c81]Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli:
MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED 2021: 444-449 - [c80]Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim:
Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data. MASCOTS 2021: 1-8 - [c79]Elaheh Sadredini, Reza Rahimi, Mohsen Imani, Kevin Skadron:
Sunder: Enabling Low-Overhead and Scalable Near-Data Pattern Matching Acceleration. MICRO 2021: 311-323 - [c78]Prathyush Poduval, Mariam Issa, Farhad Imani, Cheng Zhuo, Xunzhao Yin, M. Hassan Najafi, Mohsen Imani:
Robust In-Memory Computing with Hyperdimensional Stochastic Representation. NANOARCH 2021: 1-6 - [c77]Zhuowen Zou, Yeseong Kim, Farhad Imani, Haleh Alimohamadi, Rosario Cammarota, Mohsen Imani:
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation. SC 2021: 38 - [i16]Arman Kazemi, Mohammad Mehdi Sharifi, Zhuowen Zou, Michael T. Niemier, X. Sharon Hu, Mohsen Imani:
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. CoRR abs/2106.12029 (2021) - [i15]Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani:
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. CoRR abs/2110.00214 (2021) - 2020
- [b1]Mohsen Imani:
Machine Learning in IoT Systems: From Deep Learning to Hyperdimensional Computing. University of California, San Diego, USA, 2020 - [j17]Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing:
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test 37(1): 28-35 (2020) - [j16]Sahand Salamat, Mohsen Imani, Tajana Rosing:
Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse. IEEE Trans. Computers 69(8): 1159-1171 (2020) - [j15]Daniel Peroni, Mohsen Imani, Tajana Simunic Rosing:
Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 346-358 (2020) - [j14]Mohsen Imani, Samuel Bosch, Sohum Datta, Sharadhi Ramakrishna, Sahand Salamat, Jan M. Rabaey, Tajana Rosing:
QuantHD: A Quantization Framework for Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2268-2278 (2020) - [j13]Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing:
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2422-2433 (2020) - [j12]Daniel Peroni, Mohsen Imani, Hamid Nejatollahi, Nikil D. Dutt, Tajana Rosing:
Data Reuse for Accelerated Approximate Warps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4623-4634 (2020) - [c76]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. DAC 2020: 1-6 - [c75]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC 2020: 1-6 - [c74]Yeseong Kim, Mohsen Imani, Niema Moshiri, Tajana Rosing:
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing. DATE 2020: 115-120 - [c73]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing:
SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE 2020: 1598-1601 - [c72]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c71]Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing:
THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD 2020: 27:1-27:9 - [c70]Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. ICCAD 2020: 121:1-121:9 - [c69]Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing:
Implementing binary neural networks in memory with approximate accumulation. ISLPED 2020: 247-252 - [c68]Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing:
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO 2020: 356-371 - [c67]Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC 2020: 123-128 - [c66]Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Multi-label HD Classification in 3D Flash. VLSI-SOC 2020: 10-15 - [i14]Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. CoRR abs/2005.06716 (2020) - [i13]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i12]Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt:
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020: 276 (2020)
2010 – 2019
- 2019
- [j11]Mohsen Imani, Mehrdad Amirabadi, Matthew Wright:
Modified relay selection and circuit selection for faster Tor. IET Commun. 13(17): 2723-2734 (2019) - [j10]Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing:
Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. 15(2): 21:1-21:18 (2019) - [j9]Yeseong Kim, Mohsen Imani, Tajana Simunic Rosing:
Image Recognition Accelerator Design Using In-Memory Processing. IEEE Micro 39(1): 17-23 (2019) - [j8]Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing:
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers 68(9): 1325-1337 (2019) - [j7]Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing:
NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 628-639 (2019) - [j6]Mohsen Imani, Daniel Peroni, Abbas Rahimi, Tajana Simunic Rosing:
Resistive CAM Acceleration for Tunable Approximate Computing. IEEE Trans. Emerg. Top. Comput. 7(2): 271-280 (2019) - [c65]Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing:
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD 2019: 435-446 - [c64]Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing:
FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC 2019: 493-498 - [c63]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC 2019: 591-596 - [c62]Daniel Peroni, Mohsen Imani, Tajana Rosing:
ALook: adaptive lookup for GPGPU acceleration. ASP-DAC 2019: 739-746 - [c61]Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing:
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS 2019: 1-4 - [c60]