J. S. Miguel

Most-cited papers

Load Value Approximation
J. S. Miguel, Mario Badr, Natalie D. Enright Jerger
2014Micro160 citations
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Doppelgänger: A cache for approximate computing
J. S. Miguel, J. Albericio, Andreas Moshovos, Natalie D. Enright Jerger
2015Micro131 citations
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UGEMM: Unary Computing Architecture for GEMM Applications
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao +2 more
2020International Symposium on Computer Architecture71 citations
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The Bunker Cache for spatio-value approximation
J. S. Miguel, J. Albericio, Natalie D. Enright Jerger, A. Jaleel
2016Micro49 citations
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uSystolic: Byte-Crawling Unary Systolic Array
Di Wu, J. S. Miguel
2022International Symposium on High-Performance Computer Architecture31 citations
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The Anytime Automaton
J. S. Miguel, Natalie D. Enright Jerger
2016International Symposium on Computer Architecture31 citations
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The runahead network-on-chip
Zimo Li, J. S. Miguel, Natalie D. Enright Jerger
2016International Symposium on High-Performance Computer Architecture31 citations Open access
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The inner most loop iteration counter: A new dimension in branch history
André Seznec, J. S. Miguel, J. Albericio
2015Micro31 citations
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SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution
Mayank Parasar, N. E. Jerger, Paul V. Gratz, J. S. Miguel +1 more
2019Micro30 citations
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Pitstop: Enabling a Virtual Network Free Network-on-Chip
Hossein Farrokhbakht, Henry Kao, K. Hasan, Paul V. Gratz +3 more
2021International Symposium on High-Performance Computer Architecture29 citations
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Texture Cache Approximation on GPUs
Mark Sutherland, J. S. Miguel, N. E. Jerger
201529 citations
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NvMR: non-volatile memory renaming for intermittent computing
A. Bhattacharyya, Abhijith Somashekhar, J. S. Miguel
2022International Symposium on Computer Architecture25 citations
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uBrain: a unary brain computer interface
Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim +1 more
2022International Symposium on Computer Architecture25 citations
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SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization
Di Wu, Tianen Chen, Chien-Fu Chen, Oghenefego Ahia +3 more
2019International Symposium on Low Power Electronics and Design25 citations
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In-Stream Stochastic Division and Square Root via Correlation
Di Wu, J. S. Miguel
2019Design Automation Conference25 citations
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Data Criticality in Network-On-Chip Design
J. S. Miguel, Natalie D. Enright Jerger
2015ACM/IEEE International Symposium on Networks-on-Chips21 citations Open access
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TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling
Dian-Lun Lin, U. Ogras, J. S. Miguel, Tsung-Wei Huang
2024European Conference on Parallel Processing18 citations
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Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing
Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, J. S. Miguel +1 more
2022International Symposium on High-Performance Computer Architecture16 citations
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SEEC: Stochastic Escape Express Channel
Mayank Parasar, N. E. Jerger, Paul V. Gratz, J. S. Miguel +1 more
2021International Conference for High Performance Computing, Networking, Storage and Analysis16 citations
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Wormhole: Wisely Predicting Multidimensional Branches
J. Albericio, J. S. Miguel, Natalie D. Enright Jerger, Andreas Moshovos
2014Micro15 citations
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uGEMM: Unary Computing for GEMM Applications
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao +2 more
2021IEEE Micro12 citations
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In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing
Di Wu, Ruokai Yin, J. S. Miguel
2021IEEE design & test11 citations
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Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing
Di Wu, Ruokai Yin, J. S. Miguel
2021Asia and South Pacific Design Automation Conference10 citations
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Zero Correlation Error: A Metric for Finite-Length Bitstream Independence in Stochastic Computing
Hsuan Hsiao, J. S. Miguel, Yuko Hara-Azumi, J. Anderson
2021Asia and South Pacific Design Automation Conference8 citations
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Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks
Di Wu, J. S. Miguel
2021ICCD7 citations
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Bufferless NoCs with Scheduled Deflection Routing
Chen Chen, Zirui Tao, J. S. Miguel
2020ACM/IEEE International Symposium on Networks-on-Chips7 citations
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UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks
Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim +1 more
2021International Symposium on Low Power Electronics and Design6 citations
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Approximate Hardware Techniques for Energy-Quality Scaling Across the System
Younghyun Kim, J. S. Miguel, Setareh Behroozi, Tianen Chen +4 more
2020International Conference on Electronics, Information and Communications6 citations
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CAP’NN: Class-Aware Personalized Neural Network Inference
Maedeh Hemmat, J. S. Miguel, Azadeh Davoodi
2020Design Automation Conference6 citations
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AirNN: A Featherweight Framework for Dynamic Input-Dependent Approximation of CNNs
Maedeh Hemmat, J. S. Miguel, Azadeh Davoodi
2020IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems6 citations Open access
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CAP’NN: A Class-aware Framework for Personalized Neural Network Inference
Maedeh Hemmat, J. S. Miguel, Azadeh Davoodi
2022ACM Transactions on Embedded Computing Systems5 citations Open access
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A Taxonomy of Approximate Computing Techniques
T. Moreau, J. S. Miguel, Mark Wyse, James Bornholt +3 more
20165 citations
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Wormhole branch prediction using multi-dimensional histories
J. Albericio, J. S. Miguel, N. E. Jerger, Andreas Moshovos
20145 citations
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Streaming Accuracy: Characterizing Early Termination in Stochastic Computing
Hsuan Hsiao, J. S. Miguel, J. Anderson
2022Asia and South Pacific Design Automation Conference4 citations
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Camouflage: Utility-Aware Obfuscation for Accurate Simulation of Sensitive Program Traces
Asmita Pal, Keerthana Desai, Rahul Chatterjee, J. S. Miguel
2024ACM Transactions on Architecture and Code Optimization (TACO)2 citations Open access
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Value Locality Based Approximation With ODIN
Rahul Singh, Gokul Subramanian Ravi, Mikko H. Lipasti, J. S. Miguel
2020IEEE computer architecture letters2 citations
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CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures
Maedeh Hemmat, Tejash Shah, Yu-Hua Chen, J. S. Miguel
2020Asia and South Pacific Design Automation Conference2 citations
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A Systolic Approach to Deriving Anytime Algorithms for Approximate Computing
J. S. Miguel, Vijayalakshmi Srinivasan, R. Nair, D. Prener +5 more
20162 citations
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CryptOracle: A Modular Framework to Characterize FHE
Cory Brynds, Parker McLeod, Lauren Caccamise, Asmita Pal +4 more
2025IEEE International Symposium on Performance Analysis of Systems and Software1 citations
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Approximate Computing
Natalie D. Enright Jerger, J. S. Miguel
2018IEEE Micro1 citations Open access
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Eidola: Modeling Multi-GPU Network Communication Traffic in Distributed AI Workloads
Ranganath Selagamsetty, Matthew Poremba, Bradford M. Beckmann, J. S. Miguel +1 more
2026arXiv.org0 citations
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The Spatial Effect of the Pinna for Neuromorphic Speech Denoising
Ranganath Selagamsetty, J. S. Miguel, Mikko H. Lipasti
2025Neuro Inspired Computational Elements Workshop0 citations
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Characterizing Memory Side Channels in FHE Applications
Asmita Pal, Karthik Swaminathan, Subhankar Pal, J. S. Miguel
20220 citations
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As-Is Approximate Computing
Mitali Soni, Asmita Pal, J. S. Miguel
2022ACM Transactions on Architecture and Code Optimization (TACO)0 citations Open access
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Approximate Cache Architectures
Natalie D. Enright Jerger, J. S. Miguel
2018Approximate Circuits0 citations
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Reading Between the Bits: Uncovering New Insights in Data for Efficient Processor Design
J. S. Miguel
20170 citations
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Active Breath Control to Reduce Normal Tissue Dose in Patients Receiving Mediastinal Radiotherapy for Hodgkin Lymphoma
T. Conrad, C. Coolens, B. Guibord, J. S. Miguel +6 more
20110 citations
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