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The results of my PhD research have been published in top conferences and journals:
Selected Publications:
[ISCA'19] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 17%) [PDF].
[CLOUD'19] M. Imani, Y. Kim, S. Riazi, J. Merssely, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[HPCA'17] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[DATE'16] M. Imani, A. Rahimi, T. Rosing, "Resistive Configurable Associative Memory for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
- Computer Architecture (ISCA, HPCA, MICRO, IEEE TC),
- Electronic Design (DAC, DATE, ISLPED, FPGA, FCCM),
- Computer Aided Design (ICCAD, TCAD)
Selected Publications:
[ISCA'19] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 17%) [PDF].
[CLOUD'19] M. Imani, Y. Kim, S. Riazi, J. Merssely, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[HPCA'17] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[DATE'16] M. Imani, A. Rahimi, T. Rosing, "Resistive Configurable Associative Memory for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
Book Chapters
[C73] M. Imani, S. Gupta, Y. Kim, T. Rosing “Approximate CPU and GPU Design Using Emerging Memory Technologies”, Springer’s book titled Approximate Circuit, 2019.
Conferences
2019
[C73] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 16.9%) [PDF].
[C72] M. Imani, Y. Kim, S. Riazi, J. Merssely, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[C71] M. Imani, S. Bosch, M. Javaheripi, B. Rouhani, X. Wu, F. Koushanfar, T. Rosing, “SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[C70] S. Salamat, B. Khaleghi, M. Imani, T. Rosing, “Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[C69] M. Imani, S. Salamat, B. Khaleghi, M. Samragh, F. Koushanfar, T. Rosing “SparseHD: Algorithm-Hardware Co-Optimization for Efficient High-Dimensional Computing”, IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019 (acceptance rate 20%) [PDF].
[C68] M. Imani, J. Morris, J. Messerly, H. Shu, Y. Deng, T. Rosing, “BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019 (Best paper candidate).
[C67] M. Imani, A. Sokolova , R. Garcia, A. Huang, F. Wu, B. Aksanli, T. Rosing, “ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C66] D. Peroni, M. Imani, H. Nejatollahi, N. Dutt, T. Rosing, “ARGA: Approximate Reuse for GPGPU Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C65] M. Zhou, M. Imani, S. Gupta, T. Rosing, “Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C64] S. Salamat, M. Imani, B. Khaleghi, T. Rosing, "F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing" ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2019 (acceptance rate 19.8%) [PDF].
[C63] M. Imani, J. Messerly, F. Wu, W. Pi, T. Rosing, “A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C62] M. Imani, Y. Kim, T. Worley, S. Gupta, T. Rosing, “HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C61] M. Imani, R. Garcia, A. Huang, T. Rosing, “CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C60] S. Gupta, M. Imani, B. Khaleghi, V. Kumar, T. Rosing, “RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019 (Acceptance rate <20%).
[C59] J. Morris, M. Imani, S. Bosch, A. Thomas, H. Shu, T. Rosing, “CompHD: Efficient Hyperdimensional Computing Using Model Compression, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019 (Acceptance rate <20%).
[C58] J. Sim, S. Gupta, M. Imani, Y. Kim, T. Rosing “UPIM : Unipolar Switching Logic for High Density Processing-in-Memory Applications”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Acceptance rate 29%) [PDF].
[C57] M. Imani, S. Gupta, Y. Kim, M. Zhou, T. Rosing, “DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Invited Talk) [PDF].
[C56] S. Gupta, M. Imani, T. Rosing “Exploring Processing In-Memory for Different Technologies”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Acceptance rate 29%) [PDF].
[C55] M. Imani, S. Salamat, S. Gupta, J. Huang, T. Rosing, “FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
[C54] M. Zhou, M. Imani, S. Gupta, Y. Kim, T. Rosing, “GRAM: Graph Processing in a ReRAM-based Computational Memory", IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
[C53] D. Peroni, M. Imani, T. Rosing, “ALook: Adaptive Lookup for GPGPU Acceleration”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
2018
[C42] M. Imani, C. Huang , D. Kong, T. Rosing, “Hierarchical Hyperdimensional Computing for Energy Efficient Classification”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C41] M. Imani, R. Garcia , S. Gupta, T. Rosing, “Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C40] S. Gupta, M. Imani, T. Rosing, “Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C44] M. Imani, R. Garcia, S. Gupta, T. Rosing “RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[C43] M. Zhou, M. Imani, S. Gupta, T. Rosing “GAS: A Heterogeneous Memory Acceleration for Graph Processing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[C39] M. Imani, S. Gupta, T. Rosing, “GenPIM: Generalized Processing In-Memory to Accelerate Data Intensive Applications ”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2018 [PDF].
[C49] S. Gupta, M. Imani, T. Rosing, "FELIX: Fast and Energy-Efficient Logic in Memory" IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018 [PDF].
[C48] Y. Kim, M. Imani, T. Rosing, “Efficient Human Activity Recognition Using Hyperdimensional Computing”, IEEE Conference on Internet of Things (IoT), 2018 [PDF].
[C46] M. Imani, Y. Kim, T. Rosing, "Brain-Inspired Hyperdimensional Computing: An Efficient Classifier for Embedded Devices" IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018.
[C45] S. Salamat, M. Imani, S. Gupta, T. Rosing, "RNSnet: In-Memory Neural Network Acceleration Using Residue Number System" IEEE International Conference on Rebooting Computing (ICRC), 2018 [PDF].
[C38] M. Imani, P. Wang, T. Rosing, “Deep Neural Network Acceleration Framework Under Hardware Uncertainty”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
[C37] M. Imani, T. Nassar, T. Rosing, “Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2018 [PDF].
[C36] M. Imani, D. Peroni, T. Rosing, “Program Acceleration Using Nearest Distance Associative Search”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018 [PDF].
[C35] J.Sim, M. Imani, W. Choi, Y. Kim, T. Rosing, “LUPIS : Latch-Up Based Ultra Efficient Processing In-Memory System”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018 [PDF] (Best paper candidate).
[C34] M. Imani, M. Masich, D. Peroni, P. Wang, T. Rosing, “CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018 [PDF].
[C33] M. Imani, D. Peroni, T. Rosing, “Resistive Content Addressable Memory for Configurable Approximation”, GOMACTech Conference, 2018.
[C32] M. Imani, M. Masich, T. Rosing, “Training Acceleration of Deep Neural Network on Configurable GPGPU” Techon SRC Conference, 2018 .
2017
[C31] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[C30] M. Imani, S. Gupta, T. Rosing “Ultra-Efficient Processing In-Memory for Data Intensive Applications”, IEEE/ACM Design Automation Conference (DAC), 2017 [PDF].
[C29] M. Imani, D. Peroni, T. Rosing “CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing”, IEEE/ACM Design Automation Conference (DAC), 2017 [PDF] (Best poster award at ResearchExpo).
[C28] Y. Kim, M. Imani, T. Rosing “ORCHARD: Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2017 [PDF].
[C27] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
[C26] M. Imani, D. Peroni, Y. Kim, A. Rahimi and T. Rosing, "Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory," IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017 [PDF].
[C25] M. Samragh, M. Imani, F. Koushanfar and T. Rosing, "LookNN: Neural Network with No Multiplication," IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017 [PDF].
[C24] M. Imani, S. Gupta, A. Arredondo, T. Rosing “Efficient Query Processing in Crossbar Memory”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017 [PDF].
[C23] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Resistive CAM Acceleration for Tunable Approximate Computing” IEEE Transactions on Emerging Topics in Computing (TETC), 2017 [PDF].
[C22] M. Imani, Y. Kim, T. Rosing, “MPIM: Multi-Purpose In-Memory Processing using Configurable Resistive Memory” IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2017 [PDF].
[C21] M. Imani, D. Kong, A. Rahimi, T. Rosing, “VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[C20] M. Imani, Y. Kim, T. Rosing “NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[C19] J. Sim, M. Imani, Y. Kim, T. Rosing “Enabling Efficient System Design Using VerticalNanowire Transistor Current Mode Logic”, IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017 [PDF].
[C18] M. Imani, D. Kong, A. Rahimi and T. Rosing, Jan Rabaey, "Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier," Techon SRC Conference, 2017.
[C17] Y. Kim, M. Imani and T. Rosing, "General-Purpose Online Classification Accelerator via In-Memory Computing," Techon SRC Conference, 2017.
[C16] M. Imani, T. Rosing, "CAP: Configurable Resistive Associative Processor for Near-Data Computing," IEEE International Symposium on Quality Electronic Design (ISQED), 2017 [PDF].
2016
[C15] M. Imani, A. Rahimi, T. Rosing, "Resistive Configurable Associative Memory for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[C14] M. Imani, S. Patil, T. Rosing, "MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[C13] M. Imani, Y. Kim, A. Rahimi, T. Rosing, "ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning" IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2016 [PDF].
[C12] M. Imani, Y. Kim, A. Rahimi, T. Rosing, "Associative Memory with Online Learning for Approximate Computing" Poster in IEEE/ACM Design Automation Conference (DAC), 2016.
[C11] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Resistive CAM Acceleration for Tunable Approximate Computing” in IEEE International Conference on Computer Design (ICCD), 2016 (Top ranked paper) [PDF].
[C10] M. Imani, A. Rahimi, Y. Kim, T. Rosing, "A Low-Power Hybrid Magnetic Cache Architecture Exploiting Narrow-Width Values" Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2016 [PDF].
[C9] M. Imani, Y. Cheng, T. Rosing, "Processing Acceleration with Resistive Memory-based Computation" ACM International Symposium on Memory Systems (MEMSYS), 2016 [PDF].
[C8] M. Imani, P. Mercati, T. Rosing, "ReMAM: Low Energy Resistive Multi-Stage Associative Memory for Energy Efficient Computing" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[C7] M. Imani, S. Patil, T. Rosing, "Low Power Data-Aware STT-RAM based Hybrid Cache Architecture" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[C6] P. Mercati, A. Bartolini, F. Paterna, M. Imani, L. Benini and T. Rosing, "VarDroid: Online Variability Emulation in Android/Linux Platforms" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
[C6] M. Imani, S. Patil, T. Rosing, "DCC: Double Capacity Cache for Narrow-Width Data Values" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
[C5] M. Imani, A. Rahimi, T. Rosing, "Ultra-Efficient Content Addressable Memory for Tunable GPU Approximation" Techon SRC Conference, 2016 [PDF].
2015
[C4] Y. Kim, M. Imani, S. Patil, T. Rosing, “CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices”, IEEE International Conference On Computer Aided Design (ICCAD), 2015 [PDF] [Slide].
[C3] M. Imani, S. Patil, T. Rosing, “Hierarchical Design of Robust and Low Data Dependent FinFET Based SRAM Array”, IEEE International Symposium on Nanoscale Architecture (Nanoarch), 2015 [PDF]
[C2] M. Imani, S. Patil, M. Jafari, T. Rosing, “Ultra-Low Read leakage SRAM Cell Utilizing Independently-Controlled-Gate FinFET”, Poster in IEEE/ACM Design Automation Conference (DAC), 2015.
2014
[C1] M. Ansari, M. Imani, H. Aghababa, B. Forouzandeh, “Estimation of Joint Probability Density Function of Delay and Power with Variable Skewness,” IEEE International Conference on Electronics Computer and Computation (ICECCO), 2014
Journals
[J17] M. Imani, J. Morris, H. Shu, S. Li, T. Rosing, “Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019.
[J16] M. Imani, R. Garcia, S. Gupta, T. Rosing, “Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019.
[J15] S. Gupta, M. Imani, H. Kaur, T. Rosing, “NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transactions on Computers (TC), 2019.
[J14] D. Peroni, M. Imani, T. Rosing, “Runtime Efficiency-Accuracy Trade-off Using Configurable Floating Point Multiplier”, EEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
[J13] Y. Kim, M. Imani, T. Rosing, “Image Recognition Accelerator Design Using In-Memory Processing”, IEEE Micro, 2018.
[J12] M. Imani, S. Gupta, S. Sharma, T. Rosing, “NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018 [PDF].
[J11] M. Imani, A. Rahimi, J. Hwang, T. Rosing, J. M. Rabaey “Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017 [PDF].
[J10] M. Imani, Shruti Patil, T. Rosing, "Approximate Computing using Multiple-Access Single-Charge Associative Memory" IEEE Transaction on Emerging Topics in Computing (TETC), 2017 [PDF].
[J9] M. Imani, A. Rahimi, P. Mercati, T. Rosing, “Multi-stage Tunable Approximate Search in Resistive Associative Memory” IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2017 [PDF].
[J8] M. Imani, D. Peroni, T. Rosing “NVALT: Approximate Lookup Table for GPU Acceleration”, IEEE Embedded System Letter (ESL), 2017 [PDF].
[J7] H. Alimohamadi, M. Imani, B. Forouzandeh “Computational Analysis of Transient non-Newtonian Blood Flow in Magnetic Targeting Drug Delivery in Stenosed Carotid Bifurcation Artery,” in International Journal of Fluid Mechanics Research, Taylor and Francis, vol. 42, no. 2, pp. 149-169, 2015 [PDF].
[J6] M. Jafari, M. Imani, M. Fathipour, “Analysis of Power Gating in Different Hierarchical Levels of 2MB Caches, Considering Variation,” in International Journal of Electronic, Taylor and Francis, vol. 105, no. 2, 2014
[J5] G. Passandi, M. Jafari, M. Imani, “A New Low-Power 10T SRAM cell with Improved Read SNM,” in International Journal of Electronic, Taylor and Francis, vol. 105, no. 2, 2014 [PDF]
[J4] H. Alimohamadi, M. Imani, “Finite Element Simulation of Two-Dimensional Pulsatile Blood Flow thorough a Stenosed Artery in the Presence of External Magnetic Field,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 4, pp. 390-400, 2014 [PDF]
[J3] H. Alimohamadi, M. Imani, “Transient Non-Newtonian Blood Flow under Magnetic Targeting Drug Delivery in an Aneurysm Blood Vessel with Porous Walls,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 6, pp. 522-533, 2014 [PDF]
[J2] M. Jafari, M. Imani, M. Fathipour “Design a New Stable and Low Power Bandgap Reference Circuit Based on Fin-FET Device,” in In International Journal of Technology Enhancements and Emerging Engineering Research, vol. 2, no. 9, 41-46, 2014
[J1] M. Imani, M. Jafari, B. Ebrahimi, T. Rosing, "Ultra-low power FinFET based SRAM cell employing sharing current concept" Microelectronic Reliability Elsevier Journal, 2015 [PDF].
Workshops
[C52] M. Imani, T. Nassar, T. Rosing, “Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019 [PDF].
[C51] M. Imani, Y, Kim, S. Gupta, D. Peroni, T. Rosing, “In-Memory Acceleration of Deep Neural Network", GOMACTech Conference, 2019 [PDF].
[C50] M. Imani, T. Nassar, J. Morris, T. Rosing, “DNA Sequencing using Brain-inspired Hyperdimensional Computing", GOMACTech Conference, 2019 [PDF].
[W10] M. Imani, M. Samragh, Y. Kim, S. Gupta, F. Koushanfar, T. Rosing, "A Fully Digital In-Memory Acceleration of Deep Neural Network" Non-Volatile Memory Workshop (NVMW). 2019.
[W9] J. Sim, M. Imani, W. Choi, Y. Kim, T. Rosing. "Current-Sensing Efficient Adder for Processing-in-Memory Design." Non-Volatile Memory Workshop (NVMW). 2019.
[W8] M. Imani, Y. Kim, T. Rosing, "Hyperdimensional Computing: A Light-Weight Cognitive Machine" White Paper NSF IoT Workshop, 2018.
[W7] M. Imani, Y. Kim, T. Rosing, “Visual Object Recognition Accelerator Based on Approximate In-Memory Processing” Non-Volatile Memory Workshop (NVMW), 2018 [PDF].
[W6] M. Imani, A. Rahimi, D. Kong, T. Rosing, Jan Rabaey, “Non-Volatile Associative Memory to Accelerate Brain-inspired Hyperdimensional Computing” Non-Volatile Memory Workshop (NVMW), 2018 .
[W5] M. Imani, S. Gupta, T. Rosing, “Accelerating Multiplication and Parallelizing Operations in Non-Volatile Memory” Non-Volatile Memory Workshop (NVMW), 2018 [PDF].
[W4] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Non-volatile Content Addressable Memory for Computing Acceleration” Non-Volatile Memory Workshop (NVMW), 2017.
[W3] M. Imani, Y. Kim, T. Rosing, “In-Memory Processing to Support Search-Based and Bitwise Computation” Non-Volatile Memory Workshop (NVMW), 2017.
[W2] M. Imani, S. Patil, T. Rosing, “Using STT-RAM Based Buffers in Digital Circuits”, Annual Non-Volatile Memories Workshop (NVMW), 2015 [PDF].
[W1] M. Imani, Y. Cheng, T. Rosing, "Resistive Memory for Approximate Program Acceleration" Non-Volatile Memory Workshop (NVMW), 2016 [PDF].
[C73] M. Imani, S. Gupta, Y. Kim, T. Rosing “Approximate CPU and GPU Design Using Emerging Memory Technologies”, Springer’s book titled Approximate Circuit, 2019.
Conferences
2019
[C73] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 16.9%) [PDF].
[C72] M. Imani, Y. Kim, S. Riazi, J. Merssely, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[C71] M. Imani, S. Bosch, M. Javaheripi, B. Rouhani, X. Wu, F. Koushanfar, T. Rosing, “SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[C70] S. Salamat, B. Khaleghi, M. Imani, T. Rosing, “Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2019.
[C69] M. Imani, S. Salamat, B. Khaleghi, M. Samragh, F. Koushanfar, T. Rosing “SparseHD: Algorithm-Hardware Co-Optimization for Efficient High-Dimensional Computing”, IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019 (acceptance rate 20%) [PDF].
[C68] M. Imani, J. Morris, J. Messerly, H. Shu, Y. Deng, T. Rosing, “BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019 (Best paper candidate).
[C67] M. Imani, A. Sokolova , R. Garcia, A. Huang, F. Wu, B. Aksanli, T. Rosing, “ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C66] D. Peroni, M. Imani, H. Nejatollahi, N. Dutt, T. Rosing, “ARGA: Approximate Reuse for GPGPU Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C65] M. Zhou, M. Imani, S. Gupta, T. Rosing, “Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019 (acceptance rate 24.8%).
[C64] S. Salamat, M. Imani, B. Khaleghi, T. Rosing, "F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing" ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2019 (acceptance rate 19.8%) [PDF].
[C63] M. Imani, J. Messerly, F. Wu, W. Pi, T. Rosing, “A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C62] M. Imani, Y. Kim, T. Worley, S. Gupta, T. Rosing, “HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C61] M. Imani, R. Garcia, A. Huang, T. Rosing, “CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019 [PDF].
[C60] S. Gupta, M. Imani, B. Khaleghi, V. Kumar, T. Rosing, “RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019 (Acceptance rate <20%).
[C59] J. Morris, M. Imani, S. Bosch, A. Thomas, H. Shu, T. Rosing, “CompHD: Efficient Hyperdimensional Computing Using Model Compression, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019 (Acceptance rate <20%).
[C58] J. Sim, S. Gupta, M. Imani, Y. Kim, T. Rosing “UPIM : Unipolar Switching Logic for High Density Processing-in-Memory Applications”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Acceptance rate 29%) [PDF].
[C57] M. Imani, S. Gupta, Y. Kim, M. Zhou, T. Rosing, “DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Invited Talk) [PDF].
[C56] S. Gupta, M. Imani, T. Rosing “Exploring Processing In-Memory for Different Technologies”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019 (Acceptance rate 29%) [PDF].
[C55] M. Imani, S. Salamat, S. Gupta, J. Huang, T. Rosing, “FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
[C54] M. Zhou, M. Imani, S. Gupta, Y. Kim, T. Rosing, “GRAM: Graph Processing in a ReRAM-based Computational Memory", IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
[C53] D. Peroni, M. Imani, T. Rosing, “ALook: Adaptive Lookup for GPGPU Acceleration”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 [PDF].
2018
[C42] M. Imani, C. Huang , D. Kong, T. Rosing, “Hierarchical Hyperdimensional Computing for Energy Efficient Classification”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C41] M. Imani, R. Garcia , S. Gupta, T. Rosing, “Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C40] S. Gupta, M. Imani, T. Rosing, “Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018 [PDF].
[C44] M. Imani, R. Garcia, S. Gupta, T. Rosing “RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[C43] M. Zhou, M. Imani, S. Gupta, T. Rosing “GAS: A Heterogeneous Memory Acceleration for Graph Processing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018 [PDF].
[C39] M. Imani, S. Gupta, T. Rosing, “GenPIM: Generalized Processing In-Memory to Accelerate Data Intensive Applications ”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2018 [PDF].
[C49] S. Gupta, M. Imani, T. Rosing, "FELIX: Fast and Energy-Efficient Logic in Memory" IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018 [PDF].
[C48] Y. Kim, M. Imani, T. Rosing, “Efficient Human Activity Recognition Using Hyperdimensional Computing”, IEEE Conference on Internet of Things (IoT), 2018 [PDF].
[C46] M. Imani, Y. Kim, T. Rosing, "Brain-Inspired Hyperdimensional Computing: An Efficient Classifier for Embedded Devices" IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018.
[C45] S. Salamat, M. Imani, S. Gupta, T. Rosing, "RNSnet: In-Memory Neural Network Acceleration Using Residue Number System" IEEE International Conference on Rebooting Computing (ICRC), 2018 [PDF].
[C38] M. Imani, P. Wang, T. Rosing, “Deep Neural Network Acceleration Framework Under Hardware Uncertainty”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
[C37] M. Imani, T. Nassar, T. Rosing, “Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2018 [PDF].
[C36] M. Imani, D. Peroni, T. Rosing, “Program Acceleration Using Nearest Distance Associative Search”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018 [PDF].
[C35] J.Sim, M. Imani, W. Choi, Y. Kim, T. Rosing, “LUPIS : Latch-Up Based Ultra Efficient Processing In-Memory System”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018 [PDF] (Best paper candidate).
[C34] M. Imani, M. Masich, D. Peroni, P. Wang, T. Rosing, “CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018 [PDF].
[C33] M. Imani, D. Peroni, T. Rosing, “Resistive Content Addressable Memory for Configurable Approximation”, GOMACTech Conference, 2018.
[C32] M. Imani, M. Masich, T. Rosing, “Training Acceleration of Deep Neural Network on Configurable GPGPU” Techon SRC Conference, 2018 .
2017
[C31] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[C30] M. Imani, S. Gupta, T. Rosing “Ultra-Efficient Processing In-Memory for Data Intensive Applications”, IEEE/ACM Design Automation Conference (DAC), 2017 [PDF].
[C29] M. Imani, D. Peroni, T. Rosing “CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing”, IEEE/ACM Design Automation Conference (DAC), 2017 [PDF] (Best poster award at ResearchExpo).
[C28] Y. Kim, M. Imani, T. Rosing “ORCHARD: Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2017 [PDF].
[C27] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
[C26] M. Imani, D. Peroni, Y. Kim, A. Rahimi and T. Rosing, "Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory," IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017 [PDF].
[C25] M. Samragh, M. Imani, F. Koushanfar and T. Rosing, "LookNN: Neural Network with No Multiplication," IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017 [PDF].
[C24] M. Imani, S. Gupta, A. Arredondo, T. Rosing “Efficient Query Processing in Crossbar Memory”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017 [PDF].
[C23] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Resistive CAM Acceleration for Tunable Approximate Computing” IEEE Transactions on Emerging Topics in Computing (TETC), 2017 [PDF].
[C22] M. Imani, Y. Kim, T. Rosing, “MPIM: Multi-Purpose In-Memory Processing using Configurable Resistive Memory” IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2017 [PDF].
[C21] M. Imani, D. Kong, A. Rahimi, T. Rosing, “VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[C20] M. Imani, Y. Kim, T. Rosing “NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing”, IEEE International Conference on Rebooting Computing (ICRC), 2017 [PDF].
[C19] J. Sim, M. Imani, Y. Kim, T. Rosing “Enabling Efficient System Design Using VerticalNanowire Transistor Current Mode Logic”, IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017 [PDF].
[C18] M. Imani, D. Kong, A. Rahimi and T. Rosing, Jan Rabaey, "Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier," Techon SRC Conference, 2017.
[C17] Y. Kim, M. Imani and T. Rosing, "General-Purpose Online Classification Accelerator via In-Memory Computing," Techon SRC Conference, 2017.
[C16] M. Imani, T. Rosing, "CAP: Configurable Resistive Associative Processor for Near-Data Computing," IEEE International Symposium on Quality Electronic Design (ISQED), 2017 [PDF].
2016
[C15] M. Imani, A. Rahimi, T. Rosing, "Resistive Configurable Associative Memory for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[C14] M. Imani, S. Patil, T. Rosing, "MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing" IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2016 [PDF].
[C13] M. Imani, Y. Kim, A. Rahimi, T. Rosing, "ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning" IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2016 [PDF].
[C12] M. Imani, Y. Kim, A. Rahimi, T. Rosing, "Associative Memory with Online Learning for Approximate Computing" Poster in IEEE/ACM Design Automation Conference (DAC), 2016.
[C11] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Resistive CAM Acceleration for Tunable Approximate Computing” in IEEE International Conference on Computer Design (ICCD), 2016 (Top ranked paper) [PDF].
[C10] M. Imani, A. Rahimi, Y. Kim, T. Rosing, "A Low-Power Hybrid Magnetic Cache Architecture Exploiting Narrow-Width Values" Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2016 [PDF].
[C9] M. Imani, Y. Cheng, T. Rosing, "Processing Acceleration with Resistive Memory-based Computation" ACM International Symposium on Memory Systems (MEMSYS), 2016 [PDF].
[C8] M. Imani, P. Mercati, T. Rosing, "ReMAM: Low Energy Resistive Multi-Stage Associative Memory for Energy Efficient Computing" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[C7] M. Imani, S. Patil, T. Rosing, "Low Power Data-Aware STT-RAM based Hybrid Cache Architecture" IEEE International Symposium on Quality Electronic Design (ISQED), 2016 [PDF].
[C6] P. Mercati, A. Bartolini, F. Paterna, M. Imani, L. Benini and T. Rosing, "VarDroid: Online Variability Emulation in Android/Linux Platforms" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
[C6] M. Imani, S. Patil, T. Rosing, "DCC: Double Capacity Cache for Narrow-Width Data Values" ACM Great lakes symposium on VLSI (GLSVLSI), 2016 [PDF].
[C5] M. Imani, A. Rahimi, T. Rosing, "Ultra-Efficient Content Addressable Memory for Tunable GPU Approximation" Techon SRC Conference, 2016 [PDF].
2015
[C4] Y. Kim, M. Imani, S. Patil, T. Rosing, “CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices”, IEEE International Conference On Computer Aided Design (ICCAD), 2015 [PDF] [Slide].
[C3] M. Imani, S. Patil, T. Rosing, “Hierarchical Design of Robust and Low Data Dependent FinFET Based SRAM Array”, IEEE International Symposium on Nanoscale Architecture (Nanoarch), 2015 [PDF]
[C2] M. Imani, S. Patil, M. Jafari, T. Rosing, “Ultra-Low Read leakage SRAM Cell Utilizing Independently-Controlled-Gate FinFET”, Poster in IEEE/ACM Design Automation Conference (DAC), 2015.
2014
[C1] M. Ansari, M. Imani, H. Aghababa, B. Forouzandeh, “Estimation of Joint Probability Density Function of Delay and Power with Variable Skewness,” IEEE International Conference on Electronics Computer and Computation (ICECCO), 2014
Journals
[J17] M. Imani, J. Morris, H. Shu, S. Li, T. Rosing, “Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019.
[J16] M. Imani, R. Garcia, S. Gupta, T. Rosing, “Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019.
[J15] S. Gupta, M. Imani, H. Kaur, T. Rosing, “NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transactions on Computers (TC), 2019.
[J14] D. Peroni, M. Imani, T. Rosing, “Runtime Efficiency-Accuracy Trade-off Using Configurable Floating Point Multiplier”, EEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
[J13] Y. Kim, M. Imani, T. Rosing, “Image Recognition Accelerator Design Using In-Memory Processing”, IEEE Micro, 2018.
[J12] M. Imani, S. Gupta, S. Sharma, T. Rosing, “NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018 [PDF].
[J11] M. Imani, A. Rahimi, J. Hwang, T. Rosing, J. M. Rabaey “Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017 [PDF].
[J10] M. Imani, Shruti Patil, T. Rosing, "Approximate Computing using Multiple-Access Single-Charge Associative Memory" IEEE Transaction on Emerging Topics in Computing (TETC), 2017 [PDF].
[J9] M. Imani, A. Rahimi, P. Mercati, T. Rosing, “Multi-stage Tunable Approximate Search in Resistive Associative Memory” IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2017 [PDF].
[J8] M. Imani, D. Peroni, T. Rosing “NVALT: Approximate Lookup Table for GPU Acceleration”, IEEE Embedded System Letter (ESL), 2017 [PDF].
[J7] H. Alimohamadi, M. Imani, B. Forouzandeh “Computational Analysis of Transient non-Newtonian Blood Flow in Magnetic Targeting Drug Delivery in Stenosed Carotid Bifurcation Artery,” in International Journal of Fluid Mechanics Research, Taylor and Francis, vol. 42, no. 2, pp. 149-169, 2015 [PDF].
[J6] M. Jafari, M. Imani, M. Fathipour, “Analysis of Power Gating in Different Hierarchical Levels of 2MB Caches, Considering Variation,” in International Journal of Electronic, Taylor and Francis, vol. 105, no. 2, 2014
[J5] G. Passandi, M. Jafari, M. Imani, “A New Low-Power 10T SRAM cell with Improved Read SNM,” in International Journal of Electronic, Taylor and Francis, vol. 105, no. 2, 2014 [PDF]
[J4] H. Alimohamadi, M. Imani, “Finite Element Simulation of Two-Dimensional Pulsatile Blood Flow thorough a Stenosed Artery in the Presence of External Magnetic Field,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 4, pp. 390-400, 2014 [PDF]
[J3] H. Alimohamadi, M. Imani, “Transient Non-Newtonian Blood Flow under Magnetic Targeting Drug Delivery in an Aneurysm Blood Vessel with Porous Walls,” in International Journal for Computational Methods in Engineering Science & Mechanics, Taylor and Francis, vol. 15, no. 6, pp. 522-533, 2014 [PDF]
[J2] M. Jafari, M. Imani, M. Fathipour “Design a New Stable and Low Power Bandgap Reference Circuit Based on Fin-FET Device,” in In International Journal of Technology Enhancements and Emerging Engineering Research, vol. 2, no. 9, 41-46, 2014
[J1] M. Imani, M. Jafari, B. Ebrahimi, T. Rosing, "Ultra-low power FinFET based SRAM cell employing sharing current concept" Microelectronic Reliability Elsevier Journal, 2015 [PDF].
Workshops
[C52] M. Imani, T. Nassar, T. Rosing, “Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019 [PDF].
[C51] M. Imani, Y, Kim, S. Gupta, D. Peroni, T. Rosing, “In-Memory Acceleration of Deep Neural Network", GOMACTech Conference, 2019 [PDF].
[C50] M. Imani, T. Nassar, J. Morris, T. Rosing, “DNA Sequencing using Brain-inspired Hyperdimensional Computing", GOMACTech Conference, 2019 [PDF].
[W10] M. Imani, M. Samragh, Y. Kim, S. Gupta, F. Koushanfar, T. Rosing, "A Fully Digital In-Memory Acceleration of Deep Neural Network" Non-Volatile Memory Workshop (NVMW). 2019.
[W9] J. Sim, M. Imani, W. Choi, Y. Kim, T. Rosing. "Current-Sensing Efficient Adder for Processing-in-Memory Design." Non-Volatile Memory Workshop (NVMW). 2019.
[W8] M. Imani, Y. Kim, T. Rosing, "Hyperdimensional Computing: A Light-Weight Cognitive Machine" White Paper NSF IoT Workshop, 2018.
[W7] M. Imani, Y. Kim, T. Rosing, “Visual Object Recognition Accelerator Based on Approximate In-Memory Processing” Non-Volatile Memory Workshop (NVMW), 2018 [PDF].
[W6] M. Imani, A. Rahimi, D. Kong, T. Rosing, Jan Rabaey, “Non-Volatile Associative Memory to Accelerate Brain-inspired Hyperdimensional Computing” Non-Volatile Memory Workshop (NVMW), 2018 .
[W5] M. Imani, S. Gupta, T. Rosing, “Accelerating Multiplication and Parallelizing Operations in Non-Volatile Memory” Non-Volatile Memory Workshop (NVMW), 2018 [PDF].
[W4] M. Imani, D. Peroni, A. Rahimi, T. Rosing, “Non-volatile Content Addressable Memory for Computing Acceleration” Non-Volatile Memory Workshop (NVMW), 2017.
[W3] M. Imani, Y. Kim, T. Rosing, “In-Memory Processing to Support Search-Based and Bitwise Computation” Non-Volatile Memory Workshop (NVMW), 2017.
[W2] M. Imani, S. Patil, T. Rosing, “Using STT-RAM Based Buffers in Digital Circuits”, Annual Non-Volatile Memories Workshop (NVMW), 2015 [PDF].
[W1] M. Imani, Y. Cheng, T. Rosing, "Resistive Memory for Approximate Program Acceleration" Non-Volatile Memory Workshop (NVMW), 2016 [PDF].
