Wormhole: Wisely Predicting Multidimensional Branches. - Jorge Albericio; Joshua San Miguel; Natalie D. Enright Jerger; Andreas Moshovos (MICRO, 2014)

Load Value Approximation. - Joshua San Miguel; Mario Badr; Natalie D. Enright Jerger (MICRO, 2014)

Doppelgänger: a cache for approximate computing. - Joshua San Miguel; Jorge Albericio; Andreas Moshovos; Natalie D. Enright Jerger (MICRO, 2015)

The inner most loop iteration counter: a new dimension in branch history. - André Seznec; Joshua San Miguel; Jorge Albericio (MICRO, 2015)

Data Criticality in Network-On-Chip Design. - Joshua San Miguel; Natalie D. Enright Jerger (NOCS, 2015)

The runahead network-on-chip. - Zimo Li; Joshua San Miguel; Natalie D. Enright Jerger (HPCA, 2016)

The Anytime Automaton. - Joshua San Miguel; Natalie D. Enright Jerger (ISCA, 2016)

The Bunker Cache for spatio-value approximation. - Joshua San Miguel; Jorge Albericio; Natalie D. Enright Jerger; Aamer Jaleel (MICRO, 2016)

Practical Multidimensional Branch Prediction. - André Seznec; Joshua San Miguel; Jorge Albericio (IEEE Micro, 2016)

The EH Model: Early Design Space Exploration of Intermittent Processor Architectures. - Joshua San Miguel; Karthik Ganesan 002; Mario Badr; Chunqiu Xia; Rose Li; Hsuan Hsiao; Natalie D. Enright Jerger (MICRO, 2018)

The EH Model: Analytical Exploration of Energy-Harvesting Architectures. - Joshua San Miguel; Karthik Ganesan 002; Mario Badr; Natalie D. Enright Jerger (IEEE Comput. Archit. Lett., 2018)

A Taxonomy of General Purpose Approximate Computing Techniques. - Thierry Moreau; Joshua San Miguel; Mark Wyse; James Bornholt; Armin Alaghi; Luis Ceze; Natalie D. Enright Jerger; Adrian Sampson (IEEE Embed. Syst. Lett., 2018)

Approximate Computing. - Natalie D. Enright Jerger; Joshua San Miguel (IEEE Micro, 2018)

Approximate Cache Architectures. - Natalie D. Enright Jerger; Joshua San Miguel (Approximate Circuits, 2019)

In-Stream Stochastic Division and Square Root via Correlation. - Di Wu 016; Joshua San Miguel (DAC, 2019)

The What's Next Intermittent Computing Architecture. - Karthik Ganesan 002; Joshua San Miguel; Natalie D. Enright Jerger (HPCA, 2019)

SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization. - Di Wu 016; Tianen Chen; Chien-Fu Chen; Oghenefego Ahia; Joshua San Miguel; Mikko H. Lipasti; Younghyun Kim 001 (ISLPED, 2019)

SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. - Mayank Parasar; Natalie D. Enright Jerger; Paul V. Gratz; Joshua San Miguel; Tushar Krishna (MICRO, 2019)

CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. - Maedeh Hemmat; Tejas Shah; Yuhua Chen; Joshua San Miguel (ASP-DAC, 2020)

CAP'NN: Class-Aware Personalized Neural Network Inference. - Maedeh Hemmat; Joshua San Miguel; Azadeh Davoodi (DAC, 2020)

DRAIN: Deadlock Removal for Arbitrary Irregular Networks. - Mayank Parasar; Hossein Farrokhbakht; Natalie D. Enright Jerger; Paul V. Gratz; Tushar Krishna; Joshua San Miguel (HPCA, 2020)

UGEMM: Unary Computing Architecture for GEMM Applications. - Di Wu 016; Jingjie Li; Ruokai Yin; Hsuan Hsiao; Younghyun Kim 001; Joshua San Miguel (ISCA, 2020)

Bufferless NoCs with Scheduled Deflection Routing. - Chen Chen; Zirui Tao; Joshua San Miguel (NOCS, 2020)

Value Locality Based Approximation With ODIN. - Rahul Singh; Gokul Subramanian Ravi; Mikko H. Lipasti; Joshua San Miguel (IEEE Comput. Archit. Lett., 2020)

SHASTA: Synergic HW-SW Architecture for Spatio-temporal Approximation. - Gokul Subramanian Ravi; Joshua San Miguel; Mikko H. Lipasti (ACM Trans. Archit. Code Optim., 2020)

Zero Correlation Error: A Metric for Finite-Length Bitstream Independence in Stochastic Computing. - Hsuan Hsiao; Joshua San Miguel; Yuko Hara-Azumi; Jason Helge Anderson (ASP-DAC, 2021)

Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. - Di Wu 016; Ruokai Yin; Joshua San Miguel (ASP-DAC, 2021)

Pitstop: Enabling a Virtual Network Free Network-on-Chip. - Hossein Farrokhbakht; Henry Kao; Kamran Hasan; Paul V. Gratz; Tushar Krishna; Joshua San Miguel; Natalie D. Enright Jerger (HPCA, 2021)

Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. - Di Wu 016; Joshua San Miguel (ICCD, 2021)

Ghostwriter: A Cache Coherence Protocol for Error-Tolerant Applications. - Henry Kao; Joshua San Miguel; Natalie D. Enright Jerger (ICPP Workshops, 2021)

UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. - Di Wu 016; Jingjie Li; Setareh Behroozi; Younghyun Kim 001; Joshua San Miguel (ISLPED, 2021)

SEEC: stochastic escape express channel. - Mayank Parasar; Natalie D. Enright Jerger; Paul V. Gratz; Joshua San Miguel; Tushar Krishna (SC, 2021)

In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing. - Di Wu 016; Ruokai Yin; Joshua San Miguel (IEEE Des. Test, 2021)

uGEMM: Unary Computing for GEMM Applications. - Di Wu 016; Jingjie Li; Ruokai Yin; Hsuan Hsiao; Younghyun Kim 001; Joshua San Miguel (IEEE Micro, 2021)

AirNN: A Featherweight Framework for Dynamic Input-Dependent Approximation of CNNs. - Maedeh Hemmat; Joshua San Miguel; Azadeh Davoodi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Streaming Accuracy: Characterizing Early Termination in Stochastic Computing. - Hsuan Hsiao; Joshua San Miguel; Jason Helge Anderson (ASP-DAC, 2022)

Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. - Hossein Farrokhbakht; Paul V. Gratz; Tushar Krishna; Joshua San Miguel; Natalie D. Enright Jerger (HPCA, 2022)

uSystolic: Byte-Crawling Unary Systolic Array. - Di Wu 016; Joshua San Miguel (HPCA, 2022)

NvMR: non-volatile memory renaming for intermittent computing. - Abhishek Bhattacharyya; Abhijith Somashekhar; Joshua San Miguel (ISCA, 2022)

uBrain: a unary brain computer interface. - Di Wu 016; Jingjie Li; Zhewen Pan 001; Younghyun Kim 001; Joshua San Miguel (ISCA, 2022)

CAP'NN: A Class-aware Framework for Personalized Neural Network Inference. - Maedeh Hemmat; Joshua San Miguel; Azadeh Davoodi (ACM Trans. Embed. Comput. Syst., 2022)

As-Is Approximate Computing. - Mitali Soni; Asmita Pal; Joshua San Miguel (ACM Trans. Archit. Code Optim., 2023)

Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. - Zhewen Pan 001; Joshua San Miguel; Di Wu 016 (ASPLOS (2), 2024)

TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling. - Dian-Lun Lin; Umit Ogras; Joshua San Miguel; Tsung-Wei Huang (Euro-Par (3), 2024)

Camouflage: Utility-Aware Obfuscation for Accurate Simulation of Sensitive Program Traces. - Asmita Pal; Keerthana Desai; Rahul Chatterjee 001; Joshua San Miguel (ACM Trans. Archit. Code Optim., 2024)

The XOR Cache: A Catalyst for Compression. - Zhewen Pan 001; Joshua San Miguel (ISCA, 2025)

The Spatial Effect of the Pinna for Neuromorphic Speech Denoising. - Ranganath Selagamsetty; Joshua San Miguel; Mikko H. Lipasti (NICE, 2025)