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Journal Articles

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2024
[j12]
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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): 36 (2024)
2023
[j11]
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Mitali Soni, Asmita Pal, Joshua San Miguel:
As-Is Approximate Computing. ACM Trans. Archit. Code Optim. 20(1): 3:1-3:26 (2023)
2022
[j10]
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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): 59:1-59:24 (2022)
2021
[j9]
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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): 53-59 (2021)
[j8]
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Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel:
uGEMM: Unary Computing for GEMM Applications. IEEE Micro 41(3): 50-56 (2021)
[j7]
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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): 2090-2103 (2021)
2020
[j6]
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Rahul Singh, Gokul Subramanian Ravi, Mikko H. Lipasti, Joshua San Miguel:
Value Locality Based Approximation With ODIN. IEEE Comput. Archit. Lett. 19(2): 88-91 (2020)
[j5]
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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): 25:1-25:26 (2020)
2018
[j4]
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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): 76-79 (2018)
[j3]
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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): 2-5 (2018)
[j2]
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Natalie D. Enright Jerger, Joshua San Miguel:
Approximate Computing. IEEE Micro 38(4): 8-10 (2018)
2016
[j1]
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André Seznec, Joshua San Miguel, Jorge Albericio:
Practical Multidimensional Branch Prediction. IEEE Micro 36(3): 10-19 (2016)

Conference and Workshop Papers

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2024
[c32]
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Zhewen Pan, Joshua San Miguel, Di Wu:
Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. ASPLOS (2) 2024: 167-184
[c31]
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Dian-Lun Lin, Umit Ogras, Joshua San Miguel, Tsung-Wei Huang:
TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling. Euro-Par (3) 2024: 151-166
2022
[c30]
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Hsuan Hsiao, Joshua San Miguel, Jason Helge Anderson:
Streaming Accuracy: Characterizing Early Termination in Stochastic Computing. ASP-DAC 2022: 320-325
[c29]
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Di Wu, Joshua San Miguel:
uSystolic: Byte-Crawling Unary Systolic Array. HPCA 2022: 12-24
[c28]
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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: 957-970
[c27]
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Abhishek Bhattacharyya, Abhijith Somashekhar, Joshua San Miguel:
NvMR: non-volatile memory renaming for intermittent computing. ISCA 2022: 1-13
[c26]
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Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel:
uBrain: a unary brain computer interface. ISCA 2022: 468-481
2021
[c25]
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Di Wu, Ruokai Yin, Joshua San Miguel:
Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. ASP-DAC 2021: 254-259
[c24]
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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: 260-265
[c23]
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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: 682-695
[c22]
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Di Wu, Joshua San Miguel:
Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD 2021: 9-12
[c21]
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Henry Kao, Joshua San Miguel, Natalie D. Enright Jerger:
Ghostwriter: A Cache Coherence Protocol for Error-Tolerant Applications. ICPP Workshops 2021: 12:1-12:10
[c20]
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Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel:
UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. ISLPED 2021: 1-6
[c19]
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Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna:
SEEC: stochastic escape express channel. SC 2021: 34
2020
[c18]
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Maedeh Hemmat, Tejas Shah, Yuhua Chen, Joshua San Miguel:
CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. ASP-DAC 2020: 295-300
[c17]
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Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi:
CAP'NN: Class-Aware Personalized Neural Network Inference. DAC 2020: 1-6
[c16]
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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: 447-460
[c15]
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Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel:
UGEMM: Unary Computing Architecture for GEMM Applications. ISCA 2020: 377-390
[c14]
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  - conf/nocs/ChenTM20
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Chen Chen, Zirui Tao, Joshua San Miguel:
Bufferless NoCs with Scheduled Deflection Routing. NOCS 2020: 1-6
2019
[c13]
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Di Wu, Joshua San Miguel:
In-Stream Stochastic Division and Square Root via Correlation. DAC 2019: 162:1-162:6
[c12]
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  - conf/hpca/GanesanMJ19
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Karthik Ganesan, Joshua San Miguel, Natalie D. Enright Jerger:
The What's Next Intermittent Computing Architecture. HPCA 2019: 211-223
[c11]
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Di Wu, Tianen Chen, Chien-Fu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko H. Lipasti, Younghyun Kim:
SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization. ISLPED 2019: 1-6
[c10]
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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: 873-885
2018
[c9]
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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: 600-612
2016
[c8]
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  - conf/hpca/LiMJ16
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Zimo Li, Joshua San Miguel, Natalie D. Enright Jerger:
The runahead network-on-chip. HPCA 2016: 333-344
[c7]
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Joshua San Miguel, Natalie D. Enright Jerger:
The Anytime Automaton. ISCA 2016: 545-557
[c6]
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Joshua San Miguel, Jorge Albericio, Natalie D. Enright Jerger, Aamer Jaleel:
The Bunker Cache for spatio-value approximation. MICRO 2016: 43:1-43:12
2015
[c5]
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Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger:
Doppelgänger: a cache for approximate computing. MICRO 2015: 50-61
[c4]
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André Seznec, Joshua San Miguel, Jorge Albericio:
The inner most loop iteration counter: a new dimension in branch history. MICRO 2015: 347-357
[c3]
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Joshua San Miguel, Natalie D. Enright Jerger:
Data Criticality in Network-On-Chip Design. NOCS 2015: 22:1-22:8
2014
[c2]
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Joshua San Miguel, Mario Badr, Natalie D. Enright Jerger:
Load Value Approximation. MICRO 2014: 127-139
[c1]
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Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos:
Wormhole: Wisely Predicting Multidimensional Branches. MICRO 2014: 509-520

Parts in Books or Collections

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2019
[p1]
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Natalie D. Enright Jerger, Joshua San Miguel:
Approximate Cache Architectures. Approximate Circuits 2019: 399-416

Editorship

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2021
[e1]
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Tushar Krishna, John Kim, Sergi Abadal, Joshua San Miguel:
NOCS '21: International Symposium on Networks-on-Chip, Virtual Event, October 14-15, 2021. ACM 2021, ISBN 978-1-4503-9083-5 [contents]

Coauthor Index

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