Joshua San Miguel

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 41

Top Topics

Early Termination

Top Venues

Publications

Asmita Pal, Keerthana Desai, Rahul Chatterjee, Joshua San Miguel
Camouflage: Utility-Aware Obfuscation for Accurate Simulation of Sensitive Program Traces. ACM Trans. Archit. Code Optim. 21 (2) (2024)
Zhewen Pan, Joshua San Miguel, Di Wu
Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. ASPLOS (2) (2024)
Mitali Soni, Asmita Pal, Joshua San Miguel
As-Is Approximate Computing. ACM Trans. Archit. Code Optim. 20 (1) (2023)
Abhishek Bhattacharyya, Abhijith Somashekhar, Joshua San Miguel
NvMR: non-volatile memory renaming for intermittent computing. ISCA (2022)
Hsuan Hsiao, Joshua San Miguel, Jason Helge Anderson
Streaming Accuracy: Characterizing Early Termination in Stochastic Computing. ASP-DAC (2022)
Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel
uBrain: a unary brain computer interface. ISCA (2022)
Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. HPCA (2022)
Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
CAP'NN: A Class-aware Framework for Personalized Neural Network Inference. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Di Wu, Joshua San Miguel
uSystolic: Byte-Crawling Unary Systolic Array. HPCA (2022)
Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
SEEC: stochastic escape express channel. SC (2021)
Di Wu, Ruokai Yin, Joshua San Miguel
In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing. IEEE Des. Test 38 (6) (2021)
Hossein Farrokhbakht, Henry Kao, Kamran Hasan, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
Pitstop: Enabling a Virtual Network Free Network-on-Chip. HPCA (2021)
Di Wu, Ruokai Yin, Joshua San Miguel
Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. ASP-DAC (2021)
Di Wu, Joshua San Miguel
Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD (2021)
Hsuan Hsiao, Joshua San Miguel, Yuko Hara-Azumi, Jason Helge Anderson
Zero Correlation Error: A Metric for Finite-Length Bitstream Independence in Stochastic Computing. ASP-DAC (2021)
Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel
UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. ISLPED (2021)
Henry Kao, Joshua San Miguel, Natalie D. Enright Jerger
Ghostwriter: A Cache Coherence Protocol for Error-Tolerant Applications. ICPP Workshops (2021)
Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
AirNN: A Featherweight Framework for Dynamic Input-Dependent Approximation of CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (10) (2021)
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
uGEMM: Unary Computing for GEMM Applications. IEEE Micro 41 (3) (2021)
Gokul Subramanian Ravi, Joshua San Miguel, Mikko H. Lipasti
SHASTA: Synergic HW-SW Architecture for Spatio-temporal Approximation. ACM Trans. Archit. Code Optim. 17 (4) (2020)
Maedeh Hemmat, Tejas Shah, Yuhua Chen, Joshua San Miguel
CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. ASP-DAC (2020)
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
UGEMM: Unary Computing Architecture for GEMM Applications. ISCA (2020)
Chen Chen, Zirui Tao, Joshua San Miguel
Bufferless NoCs with Scheduled Deflection Routing. NOCS (2020)
Mayank Parasar, Hossein Farrokhbakht, Natalie D. Enright Jerger, Paul V. Gratz, Tushar Krishna, Joshua San Miguel
DRAIN: Deadlock Removal for Arbitrary Irregular Networks. HPCA (2020)
Rahul Singh, Gokul Subramanian Ravi, Mikko H. Lipasti, Joshua San Miguel
Value Locality Based Approximation With ODIN. IEEE Comput. Archit. Lett. 19 (2) (2020)
Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
CAP'NN: Class-Aware Personalized Neural Network Inference. DAC (2020)
Karthik Ganesan, Joshua San Miguel, Natalie D. Enright Jerger
The What's Next Intermittent Computing Architecture. HPCA (2019)
Di Wu, Joshua San Miguel
In-Stream Stochastic Division and Square Root via Correlation. DAC (2019)
Di Wu, Tianen Chen, Chienfu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko H. Lipasti, Younghyun Kim
SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization. ISLPED (2019)
Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. MICRO (2019)
Joshua San Miguel, Karthik Ganesan, Mario Badr, Natalie D. Enright Jerger
The EH Model: Analytical Exploration of Energy-Harvesting Architectures. IEEE Comput. Archit. Lett. 17 (1) (2018)
Natalie D. Enright Jerger, Joshua San Miguel
Approximate Computing. IEEE Micro 38 (4) (2018)
Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson
A Taxonomy of General Purpose Approximate Computing Techniques. IEEE Embed. Syst. Lett. 10 (1) (2018)
Joshua San Miguel, Karthik Ganesan, Mario Badr, Chunqiu Xia, Rose Li, Hsuan Hsiao, Natalie D. Enright Jerger
The EH Model: Early Design Space Exploration of Intermittent Processor Architectures. MICRO (2018)
Zimo Li, Joshua San Miguel, Natalie D. Enright Jerger
The runahead network-on-chip. HPCA (2016)
André Seznec, Joshua San Miguel, Jorge Albericio
Practical Multidimensional Branch Prediction. IEEE Micro 36 (3) (2016)
Joshua San Miguel, Jorge Albericio, Natalie D. Enright Jerger, Aamer Jaleel
The Bunker Cache for spatio-value approximation. MICRO (2016)
Joshua San Miguel, Natalie D. Enright Jerger
The Anytime Automaton. ISCA (2016)
Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
Doppelgänger: a cache for approximate computing. MICRO (2015)
André Seznec, Joshua San Miguel, Jorge Albericio
The inner most loop iteration counter: a new dimension in branch history. MICRO (2015)
Joshua San Miguel, Natalie D. Enright Jerger
Data Criticality in Network-On-Chip Design. NOCS (2015)
Joshua San Miguel, Mario Badr, Natalie D. Enright Jerger
Load Value Approximation. MICRO (2014)
Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos
Wormhole: Wisely Predicting Multidimensional Branches. MICRO (2014)