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ORCIDFabrizio Lombardi
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- affiliation: Northeastern University, Boston, USA
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2020 – today
- 2024
[j267]Javier Conde
, Pedro Reviriego, Joaquín Salvachúa, Gonzalo Martínez, José Alberto Hernández, Fabrizio Lombardi:
Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue. Computer 57(1): 105-109 (2024)- [j266]Javier Conde, Miguel González, Pedro Reviriego, Zhen Gao, Shanshan Liu, Fabrizio Lombardi:
Speed and Conversational Large Language Models: Not All Is About Tokens per Second. Computer 57(8): 74-80 (2024) - [j265]Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi:
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things. IEEE Internet Things J. 11(8): 14076-14087 (2024) - [j264]Xiaochen Tang, Pedro Reviriego, Wei Tang, David G. M. Mitchell, Fabrizio Lombardi, Shanshan Liu:
Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning. IEEE Trans. Artif. Intell. 5(1): 217-228 (2024) - [j263]Hai Mo, Yong Wu, Honglan Jiang, Zining Ma, Fabrizio Lombardi, Jie Han, Leibo Liu:
Learning the Error Features of Approximate Multipliers for Neural Network Applications. IEEE Trans. Computers 73(3): 842-856 (2024) - [j262]Pedro Reviriego, Miguel González, Niv Dayan, Gabriel Huecas, Shanshan Liu, Fabrizio Lombardi:
On the Security of Quotient Filters: Attacks and Potential Countermeasures. IEEE Trans. Computers 73(9): 2165-2177 (2024) - [j261]Yuechen Chen, Ahmed Louri, Shanshan Liu, Fabrizio Lombardi:
A Balanced Sparse Matrix Convolution Accelerator for Efficient CNN Training. IEEE Trans. Circuits Syst. I Regul. Pap. 71(10): 4638-4651 (2024) - [j260]Pedro Reviriego, Jim Apple, David Larrabeiti, Shanshan Liu, Fabrizio Lombardi:
On the Privacy of Adaptive Cuckoo Filters: Analysis and Protection. IEEE Trans. Inf. Forensics Secur. 19: 5867-5879 (2024) - [c279]Zhen Gao, Jie Deng, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi:
Reducing the Energy Dissipation of Large Language Models (LLMs) with Approximate Memories. ISCAS 2024: 1-5 - [i6]Jinhua Zhu, Javier Conde, Zhen Gao, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi:
Concurrent Linguistic Error Detection (CLED) for Large Language Models. CoRR abs/2403.16393 (2024) - [i5]Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi:
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things. CoRR abs/2408.14528 (2024) - 2023
- [j259]Pedro Reviriego, Elena Merino Gómez, Fabrizio Lombardi:
The Byzantine Empire and Its Generals: An Ancient Empire Back to Life in Computer Security. Computer 56(3): 118-124 (2023) - [j258]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Ziheng Wang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 270-284 (2023) - [j257]Fabrizio Lombardi, Selver Pepic, Oren Shriki, Gasper Tkacik, Daniele De Martino:
Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nat. Comput. Sci. 3(3): 254-263 (2023) - [j256]Ziheng Wang, Farzad Niknia, Shanshan Liu, Pedro Reviriego, Paolo Montuschi, Fabrizio Lombardi:
Tolerance of Siamese Networks (SNs) to Memory Errors: Analysis and Design. IEEE Trans. Computers 72(4): 1136-1149 (2023) - [j255]Pedro Reviriego, Alfonso Sánchez-Macián, Elena Merino Gómez, Ori Rottenstreich, Shanshan Liu, Fabrizio Lombardi:
Attacking the Privacy of Approximate Membership Check Filters by Positive Concentration. IEEE Trans. Computers 72(5): 1409-1419 (2023) - [j254]Ke Chen, Chenyu Xu, Haroon Waris, Weiqiang Liu, Paolo Montuschi, Fabrizio Lombardi:
Exact and Approximate Squarers for Error-Tolerant Applications. IEEE Trans. Computers 72(7): 2120-2126 (2023) - [j253]Shanshan Liu, Pedro Reviriego, Anees Ullah, Ahmed Louri, Fabrizio Lombardi:
Error-Resilient Data Compression With Tunstall Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 1963-1975 (2023) - [j252]Pedro Reviriego, Alfonso Sánchez-Macián, Stefan Walzer, Elena Merino Gómez, Shanshan Liu, Fabrizio Lombardi:
On the Privacy of Counting Bloom Filters. IEEE Trans. Dependable Secur. Comput. 20(2): 1488-1499 (2023) - [j251]Sergio Galán, Pedro Reviriego, Stefan Walzer, Alfonso Sánchez-Macián, Shanshan Liu, Fabrizio Lombardi:
On the Privacy of Counting Bloom Filters Under a Black-Box Attacker. IEEE Trans. Dependable Secur. Comput. 20(5): 4434-4440 (2023) - [j250]Yuechen Chen, Shanshan Liu, Fabrizio Lombardi, Ahmed Louri:
A Technique for Approximate Communication in Network-on-Chips for Image Classification. IEEE Trans. Emerg. Top. Comput. 11(1): 30-42 (2023) - [j249]Yuqin Dou, Chongyan Gu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
Security and Approximation: Vulnerabilities in Approximation-Aware Testing. IEEE Trans. Emerg. Top. Comput. 11(1): 265-271 (2023) - [j248]Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu:
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11(2): 331-342 (2023) - [j247]Yuechen Chen, Ahmed Louri, Shanshan Liu, Fabrizio Lombardi:
Slack-Aware Packet Approximation for Energy-Efficient Network-on-Chips. IEEE Trans. Sustain. Comput. 8(1): 120-132 (2023) - [j246]Ke Chen, Yue Gao, Haroon Waris, Weiqiang Liu, Fabrizio Lombardi:
Approximate Softmax Functions for Energy-Efficient Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 31(1): 4-16 (2023) - [c278]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Wei Tang, Pedro Reviriego, Fabrizio Lombardi:
Integrating Delta Modulation and Stochastic Computing for Real-time Machine Learning based Heartbeats Monitoring in Wearable Systems. AICAS 2023: 1-5 - [c277]Salin Junsangsri, Fabrizio Lombardi:
Reduced Precision Redundancy Systems by Approximation (RPA): Design and Analysis. ISCAS 2023: 1-5 - [c276]Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. ISCAS 2023: 1-5 - [i4]Pedro Reviriego, Ziheng Wang, Álvaro Alonso, Zhen Gao, Farzad Niknia, Shanshan Liu, Fabrizio Lombardi:
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems. CoRR abs/2306.01820 (2023) - [i3]Gonzalo Martínez, Javier Conde, Pedro Reviriego, Elena Merino Gómez, José Alberto Hernández, Fabrizio Lombardi:
How many words does ChatGPT know? The answer is ChatWords. CoRR abs/2309.16777 (2023) - 2022
- [j245]Pedro Reviriego, Elena Merino Gómez, Fabrizio Lombardi:
Latin and Greek in Computing: Ancient Words in a New World. Computer 55(6): 66-72 (2022) - [j244]Ke Chen, Peipei Yin, Weiqiang Liu, Fabrizio Lombardi:
A survey of approximate arithmetic circuits and blocks. it Inf. Technol. 64(3): 79-87 (2022) - [j243]Shanshan Liu, Pedro Reviriego, Fabrizio Lombardi:
Selective Neuron Re-Computation (SNRC) for Error-Tolerant Neural Networks. IEEE Trans. Computers 71(3): 684-695 (2022) - [j242]Shanshan Liu, Bi Wu, Ke Chen, Weiqiang Liu, Máire O'Neill, Fabrizio Lombardi:
Editorial Special Issue on Circuits and Systems for Emerging Computing Paradigms. IEEE Trans. Circuits Syst. I Regul. Pap. 69(7): 2653-2654 (2022) - [j241]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Pedro Reviriego, Ziheng Wang, Wei Tang, Ahmed Louri, Fabrizio Lombardi:
A Delta Sigma Modulator-Based Stochastic Divider. IEEE Trans. Circuits Syst. I Regul. Pap. 69(8): 3272-3283 (2022) - [j240]Pedro Reviriego, Jorge Martínez, Ori Rottenstreich, Shanshan Liu, Fabrizio Lombardi:
Remove Minimum (RM): An Error-Tolerant Scheme for Cardinality Estimate by HyperLogLog. IEEE Trans. Dependable Secur. Comput. 19(2): 966-977 (2022) - [j239]Pedro Reviriego, Alfonso Sánchez-Macián, Shanshan Liu, Fabrizio Lombardi:
On the Security of the K Minimum Values (KMV) Sketch. IEEE Trans. Dependable Secur. Comput. 19(5): 3539-3545 (2022) - [j238]Weiqiang Liu, Tao Xu, Jing Li, Chenghua Wang, Paolo Montuschi, Fabrizio Lombardi:
Design of Unsigned Approximate Hybrid Dividers Based on Restoring Array and Logarithmic Dividers. IEEE Trans. Emerg. Top. Comput. 10(1): 339-350 (2022) - [j237]Haroon Waris, Chenghua Wang, Weiqiang Liu, Jie Han, Fabrizio Lombardi:
Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers. IEEE Trans. Emerg. Top. Comput. 10(1): 507-513 (2022) - [j236]Junqi Huang, Haider A. F. Almurib, T. Nandha Kumar, Fabrizio Lombardi:
An Inexact Newton Method For Unconstrained Total Variation-Based Image Denoising by Approximate Addition. IEEE Trans. Emerg. Top. Comput. 10(2): 1192-1207 (2022) - [j235]Pedro Reviriego, Shanshan Liu, Otmar Ertl, Farzad Niknia, Fabrizio Lombardi:
Computing the Similarity Estimate Using Approximate Memory. IEEE Trans. Emerg. Top. Comput. 10(3): 1593-1604 (2022) - [j234]Shanshan Liu, Pedro Reviriego, Fabrizio Lombardi, Patrick Girard:
Guest Editorial: Special Section on "To be Safe and Dependable in the Era of Artificial Intelligence: Emerging Techniques for Trusted and Reliable Machine Learning". IEEE Trans. Emerg. Top. Comput. 10(4): 1668-1670 (2022) - [j233]Pedro Reviriego, Alfonso Sánchez-Macián, Salvatore Pontarelli, Shanshan Liu, Fabrizio Lombardi:
Attacking Adaptive Cuckoo Filters: Too Much Adaptation Can Kill You. IEEE Trans. Netw. Serv. Manag. 19(4): 5224-5236 (2022) - [c275]Shanshan Liu, Jing Guo, Xiaochen Tang, Pedro Reviriego, Fabrizio Lombardi:
A Polarity-Driven Radiation-Hardened Latch design for Single Event Upset Tolerance. DFT 2022: 1-6 - [c274]Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation. NANOARCH 2022: 15:1-15:6 - [c273]Yuechen Chen, Ahmed Louri, Shanshan Liu, Fabrizio Lombardi:
Approximate Network-on-Chips with Application to Image Classification. NAS 2022: 1-8 - [p4]Ke Chen, Weiqiang Liu, Fabrizio Lombardi:
Approximate Arithmetic Circuits: Design and Applications. Approximate Computing 2022: 3-21 - [p3]Tingting Zhang, Honglan Jiang, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu, Seok-Bum Ko, Jie Han:
Majority Logic-Based Approximate Multipliers for Error-Tolerant Applications. Approximate Computing 2022: 119-146 - [p2]Junqi Huang, Haider Abbas F. Almurib, Thulasiraman Nandha Kumar, Fabrizio Lombardi:
Approximate Computing in Image Compression and Denoising. Approximate Computing 2022: 531-562 - [e4]Weiqiang Liu, Fabrizio Lombardi:
Approximate Computing. Springer International Publishing 2022, ISBN 978-3-030-98346-8 [contents] - [i2]Fernando Moral-Andrés, Elena Merino Gómez, Pedro Reviriego, Fabrizio Lombardi:
Can Artificial Intelligence Reconstruct Ancient Mosaics? CoRR abs/2210.06145 (2022) - 2021
- [j232]Shanshan Liu, Pedro Reviriego, Paolo Montuschi, Fabrizio Lombardi:
Less-is-Better Protection (LBP) for memory errors in kNNs classifiers. Future Gener. Comput. Syst. 117: 401-411 (2021) - [j231]Fabrizio Lombardi, Oren Shriki, Hans J. Herrmann, Lucilla de Arcangelis:
Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing 461: 657-666 (2021) - [j230]Jie Li, Pedro Reviriego, Shanshan Liu, Liyi Xiao, Fabrizio Lombardi:
Designs for efficient low power cardinality and similarity sketches by Two-Step Hashing (TSH). Integr. 81: 246-253 (2021) - [j229]Pengfei Huang, Chenghua Wang, Weiqiang Liu, Fei Qiao, Fabrizio Lombardi:
A Hardware/Software Co-Design Methodology for Adaptive Approximate Computing in clustering and ANN Learning. IEEE Open J. Comput. Soc. 2: 38-52 (2021) - [j228]Jing Guo, Shanshan Liu, Xiaohui Su, Chunhua Qi, Fabrizio Lombardi:
High-Performance CMOS Latch Designs for Recovering All Single and Double Node Upsets. IEEE Trans. Aerosp. Electron. Syst. 57(6): 4401-4415 (2021) - [j227]Tian Yuan, Weiqiang Liu, Jie Han, Fabrizio Lombardi:
High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 250-263 (2021) - [j226]Guocai Nan, Zhengkuan Wang, Chenghua Wang, Bi Wu, Zhican Wang, Weiqiang Liu, Fabrizio Lombardi:
An Energy Efficient Accelerator for Bidirectional Recurrent Neural Networks (BiRNNs) Using Hybrid-Iterative Compression With Error Sensitivity. IEEE Trans. Circuits Syst. I Regul. Pap. 68(9): 3707-3718 (2021) - [j225]Shanshan Liu, Xiaochen Tang, Farzad Niknia, Pedro Reviriego, Weiqiang Liu, Ahmed Louri, Fabrizio Lombardi:
Stochastic Dividers for Low Latency Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4102-4115 (2021) - [j224]Haroon Waris, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
AxBMs: Approximate Radix-8 Booth Multipliers for High-Performance FPGA-Based Accelerators. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1566-1570 (2021) - [j223]Weiqiang Liu, Tingting Zhang, Emma McLarnon, Máire O'Neill, Paolo Montuschi, Fabrizio Lombardi:
Design and Analysis of Majority Logic-Based Approximate Adders and Multipliers. IEEE Trans. Emerg. Top. Comput. 9(3): 1609-1624 (2021) - [j222]Shanshan Liu, Pedro Reviriego, Fabrizio Lombardi:
Detection of Limited Magnitude Errors in Emerging Multilevel Cell Memories by One-Bit Parity (OBP) or Two-Bit Parity (TBP). IEEE Trans. Emerg. Top. Comput. 9(4): 1792-1802 (2021) - [j221]Chongyan Gu, Weiqiang Liu, Yijun Cui, Neil Hanley, Máire O'Neill, Fabrizio Lombardi:
A Flip-Flop Based Arbiter Physical Unclonable Function (APUF) Design with High Entropy and Uniqueness for FPGA Implementation. IEEE Trans. Emerg. Top. Comput. 9(4): 1853-1866 (2021) - [j220]Shanshan Liu, Ke Chen, Pedro Reviriego, Weiqiang Liu, Ahmed Louri, Fabrizio Lombardi:
Reduced Precision Redundancy for Reliable Processing of Data. IEEE Trans. Emerg. Top. Comput. 9(4): 1960-1971 (2021) - [j219]Shanshan Liu, Pedro Reviriego, Jing Guo, Jie Han, Fabrizio Lombardi:
Exploiting Asymmetry in eDRAM Errors for Redundancy-Free Error-Tolerant Design. IEEE Trans. Emerg. Top. Comput. 9(4): 2064-2075 (2021) - [j218]Shanshan Liu, Pedro Reviriego, José Alberto Hernández, Fabrizio Lombardi:
Voting Margin: A Scheme for Error-Tolerant k Nearest Neighbors Classifiers for Machine Learning. IEEE Trans. Emerg. Top. Comput. 9(4): 2089-2098 (2021) - [j217]Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2809-2824 (2021) - [j216]Peipei Yin, Chenghua Wang, Haroon Waris, Weiqiang Liu, Yinhe Han, Fabrizio Lombardi:
Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning. IEEE Trans. Sustain. Comput. 6(4): 612-625 (2021) - [j215]Haroon Waris, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
AxSA: On the Design of High-Performance and Power-Efficient Approximate Systolic Arrays for Matrix Multiplication. J. Signal Process. Syst. 93(6): 605-615 (2021) - [c272]Pedro Reviriego, Ori Rottenstreich, Shanshan Liu, Fabrizio Lombardi:
Analyzing and Assessing Pollution Attacks on Bloom Filters: Some Filters are More Vulnerable than Others. CNSM 2021: 491-499 - [c271]Junqi Huang, T. Nandha Kumar, Haider A. F. Almurib, Fabrizio Lombardi:
Commutative Approximate Adders: Analysis and Evaluation. NANOARCH 2021: 1-6 - 2020
- [j214]Yuying Zhu, Weiqiang Liu, Peipei Yin, Tian Cao, Jie Han, Fabrizio Lombardi:
Design, evaluation and application of approximate-truncated Booth multipliers. IET Circuits Devices Syst. 14(8): 1305-1317 (2020) - [j213]Jie Li, Shanshan Liu, Pedro Reviriego, Liyi Xiao, Fabrizio Lombardi:
Scheme for periodical concurrent fault detection in parallel CRC circuits. IET Comput. Digit. Tech. 14(2): 80-85 (2020) - [j212]Weiqiang Liu, Fabrizio Lombardi, Michael Shulte:
A Retrospective and Prospective View of Approximate Computing [Point of View}. Proc. IEEE 108(3): 394-399 (2020) - [j211]Weiqiang Liu, Maximilian John, Andreas Karrenbauer, Adam Allerhand, Fabrizio Lombardi, Michael Shulte, David J. Miller, Zhen Xiang, George Kesidis, Antti Oulasvirta, Niraj Ramesh Dayama, Morteza Shiripour:
Scanning the Issue. Proc. IEEE 108(3): 400-401 (2020) - [j210]Weiqiang Liu, Fabrizio Lombardi, Michael J. Schulte:
Approximate Computing: From Circuits to Applications [Scanning the Issue]. Proc. IEEE 108(12): 2103-2107 (2020) - [j209]Weiqiang Liu, Chongyan Gu, Máire O'Neill, Gang Qu, Paolo Montuschi, Fabrizio Lombardi:
Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities. Proc. IEEE 108(12): 2214-2231 (2020) - [j208]Shanshan Liu, Pedro Reviriego, Xiaochen Tang, Wei Tang, Fabrizio Lombardi:
Result-Based Re-computation for Error-Tolerant Classification by a Support Vector Machine. IEEE Trans. Artif. Intell. 1(1): 62-73 (2020) - [j207]Shanshan Liu, Pedro Reviriego, Fabrizio Lombardi:
Codes for Limited Magnitude Error Correction in Multilevel Cell Memories. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1615-1626 (2020) - [j206]Jing Guo, Shanshan Liu, Lei Zhu, Fabrizio Lombardi:
Design and Evaluation of Low-Complexity Radiation Hardened CMOS Latch for Double-Node Upset Tolerance. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(6): 1925-1935 (2020) - [j205]Ke Chen, Weiqiang Liu, Jie Han, Fabrizio Lombardi:
Profile-Based Output Error Compensation for Approximate Arithmetic Circuits. IEEE Trans. Circuits Syst. 67-I(12): 4707-4718 (2020) - [j204]Shanshan Liu, Pedro Reviriego, Paolo Montuschi, Fabrizio Lombardi:
Error-Tolerant Computation for Voting Classifiers With Multiple Classes. IEEE Trans. Veh. Technol. 69(11): 13718-13727 (2020) - [c270]Yue Gao, Weiqiang Liu, Fabrizio Lombardi:
Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks. ISCAS 2020: 1-5 - [c269]Guocai Nan, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
DC-LSTM: Deep Compressed LSTM with Low Bit-Width and Structured Matrices. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j203]Junqi Huang, T. Nandha Kumar, Haider Abbas, Fabrizio Lombardi:
Approximate computing using frequency upscaling. IET Circuits Devices Syst. 13(7): 1018-1026 (2019) - [j202]Jilin W. J. L. Wang, Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, Plamen Ch. Ivanov:
Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Comput. Biol. 15(11) (2019) - [j201]Kazuteru Namba, Fabrizio Lombardi:
Coding for Write Latency Reduction in a Multi-Level Cell (MLC) Phase Change Memory (PCM). IEEE Trans. Computers 68(2): 301-306 (2019) - [j200]Ke Chen, Linbin Chen, Pedro Reviriego, Fabrizio Lombardi:
Efficient Implementations of Reduced Precision Redundancy (RPR) Multiply and Accumulate (MAC). IEEE Trans. Computers 68(5): 784-790 (2019) - [j199]Pedro Reviriego, Shanshan Liu, Ori Rottenstreich, Fabrizio Lombardi:
Two Bit Overlap: A Class of Double Error Correction One Step Majority Logic Decodable Codes. IEEE Trans. Computers 68(5): 798-803 (2019) - [j198]Weiqiang Liu, Tian Cao, Peipei Yin, Yuying Zhu, Chenghua Wang, Earl E. Swartzlander Jr., Fabrizio Lombardi:
Design and Analysis of Approximate Redundant Binary Multipliers. IEEE Trans. Computers 68(6): 804-819 (2019) - [j197]Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han:
Low-Power Unsigned Divider and Square Root Circuit Designs Using Adaptive Approximation. IEEE Trans. Computers 68(11): 1635-1646 (2019) - [j196]Honglan Jiang, Cong Liu, Fabrizio Lombardi, Jie Han:
Low-Power Approximate Unsigned Multipliers With Configurable Error Recovery. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(1): 189-202 (2019) - [j195]Honglan Jiang, Leibo Liu, Pieter P. Jonker, Duncan G. Elliott, Fabrizio Lombardi, Jie Han:
A High-Performance and Energy-Efficient FIR Adaptive Filter Using Approximate Distributed Arithmetic Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(1): 313-326 (2019) - [j194]Junqi Huang, T. Nandha Kumar, Haider A. F. Almurib, Fabrizio Lombardi:
A Deterministic Low-Complexity Approximate (Multiplier-Less) Technique for DCT Computation. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3001-3014 (2019) - [j193]Weiqiang Liu, Qicong Liao, Fei Qiao, Weijie Xia, Chenghua Wang, Fabrizio Lombardi:
Approximate Designs for Fast Fourier Transform (FFT) With Application to Speech Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(12): 4727-4739 (2019) - [j192]Weiqiang Liu, Lei Zhang, Zhengran Zhang, Chongyan Gu, Chenghua Wang, Máire O'Neill, Fabrizio Lombardi:
XOR-Based Low-Cost Reconfigurable PUFs for IoT Security. ACM Trans. Embed. Comput. Syst. 18(3): 25:1-25:21 (2019) - [j191]Yidong Liu, Leibo Liu, Fabrizio Lombardi, Jie Han:
An Energy-Efficient and Noise-Tolerant Recurrent Neural Network Using Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. 27(9): 2213-2221 (2019) - [j190]Jing Guo, Shanshan Liu, Lei Zhu, Fabrizio Lombardi:
A CMOS Majority Logic Gate and its Application to One-Step ML Decodable Codes. IEEE Trans. Very Large Scale Integr. Syst. 27(11): 2620-2628 (2019) - [c268]Shanshan Liu, Pedro Reviriego, Kazuteru Namba, Salvatore Pontarelli, Liyi Xiao, Fabrizio Lombardi:
Low Redundancy Double Error Correction Spotty Codes Combined with Gray Coding for 64 Data Bits Memories of 4-bit Multilevel Cells. DFT 2019: 1-4 - [c267]Honglan Jiang, Francisco J. H. Santiago, Mohammad Saeed Ansari, Leibo Liu, Bruce F. Cockburn, Fabrizio Lombardi, Jie Han:
Characterizing Approximate Adders and Multipliers Optimized under Different Design Constraints. ACM Great Lakes Symposium on VLSI 2019: 393-398 - [c266]Tingting Zhang, Weiqiang Liu, Jie Han, Fabrizio Lombardi:
Design and Analysis of Majority Logic Based Approximate Radix-4 Booth Encoders. NANOARCH 2019: 1-6 - [c265]Haroon Waris, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
Design and Evaluation of a Power-Efficient Approximate Systolic Array Architecture for Matrix Multiplication. SiPS 2019: 13-18 - [p1]Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han:
Approximate Arithmetic Circuits: Design and Evaluation. Approximate Circuits 2019: 67-98 - 2018
- [j189]Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 454-465 (2018) - [j188]