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Joshua San Miguel
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2020 – today
- 2024
- [j12]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) - [c31]Zhewen Pan
, Joshua San Miguel
, Di Wu
:
Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. ASPLOS (2) 2024: 167-184 - 2023
- [j11]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]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) - [c30]Hsuan Hsiao, Joshua San Miguel
, Jason Helge Anderson:
Streaming Accuracy: Characterizing Early Termination in Stochastic Computing. ASP-DAC 2022: 320-325 - [c29]Di Wu, Joshua San Miguel
:
uSystolic: Byte-Crawling Unary Systolic Array. HPCA 2022: 12-24 - [c28]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]Abhishek Bhattacharyya, Abhijith Somashekhar, Joshua San Miguel
:
NvMR: non-volatile memory renaming for intermittent computing. ISCA 2022: 1-13 - [c26]Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel
:
uBrain: a unary brain computer interface. ISCA 2022: 468-481 - 2021
- [j9]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]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]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) - [c25]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]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]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]Di Wu, Joshua San Miguel
:
Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD 2021: 9-12 - [c21]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]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]Mayank Parasar, Natalie D. Enright Jerger
, Paul V. Gratz, Joshua San Miguel, Tushar Krishna:
SEEC: stochastic escape express channel. SC 2021: 34 - [e1]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] - 2020
- [j6]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]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) - [c18]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]Maedeh Hemmat, Joshua San Miguel
, Azadeh Davoodi:
CAP'NN: Class-Aware Personalized Neural Network Inference. DAC 2020: 1-6 - [c16]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]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]Chen Chen, Zirui Tao, Joshua San Miguel
:
Bufferless NoCs with Scheduled Deflection Routing. NOCS 2020: 1-6
2010 – 2019
- 2019
- [c13]Di Wu, Joshua San Miguel
:
In-Stream Stochastic Division and Square Root via Correlation. DAC 2019: 162:1-162:6 - [c12]Karthik Ganesan
, Joshua San Miguel
, Natalie D. Enright Jerger
:
The What's Next Intermittent Computing Architecture. HPCA 2019: 211-223 - [c11]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]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 - [p1]Natalie D. Enright Jerger, Joshua San Miguel
:
Approximate Cache Architectures. Approximate Circuits 2019: 399-416 - 2018
- [j4]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]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]Natalie D. Enright Jerger
, Joshua San Miguel
:
Approximate Computing. IEEE Micro 38(4): 8-10 (2018) - [c9]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
- [j1]André Seznec, Joshua San Miguel, Jorge Albericio:
Practical Multidimensional Branch Prediction. IEEE Micro 36(3): 10-19 (2016) - [c8]Zimo Li, Joshua San Miguel, Natalie D. Enright Jerger
:
The runahead network-on-chip. HPCA 2016: 333-344 - [c7]Joshua San Miguel, Natalie D. Enright Jerger
:
The Anytime Automaton. ISCA 2016: 545-557 - [c6]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]Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
:
Doppelgänger: a cache for approximate computing. MICRO 2015: 50-61 - [c4]André Seznec, Joshua San Miguel, Jorge Albericio:
The inner most loop iteration counter: a new dimension in branch history. MICRO 2015: 347-357 - [c3]Joshua San Miguel, Natalie D. Enright Jerger
:
Data Criticality in Network-On-Chip Design. NOCS 2015: 22:1-22:8 - 2014
- [c2]Joshua San Miguel, Mario Badr, Natalie D. Enright Jerger
:
Load Value Approximation. MICRO 2014: 127-139 - [c1]Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger
, Andreas Moshovos:
Wormhole: Wisely Predicting Multidimensional Branches. MICRO 2014: 509-520
Coauthor Index
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last updated on 2024-08-03 20:16 CEST by the dblp team
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