Joshua San Miguel

49 papers A* 20A 3C 1Journal 13Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption. CoRR Cory Brynds, Parker McLeod, Lauren Caccamise, Asmita Pal, Dewan Saiham, Sazadur Rahman, Joshua San Miguel, Di Wu
2025	—	`conf`	The Spatial Effect of the Pinna for Neuromorphic Speech Denoising. NICE Ranganath Selagamsetty, Joshua San Miguel, Mikko H. Lipasti
2025	A*	`conf`	The XOR Cache: A Catalyst for Compression. ISCA Zhewen Pan, Joshua San Miguel
2024	J	`jnl`	Camouflage: Utility-Aware Obfuscation for Accurate Simulation of Sensitive Program Traces. ACM Trans. Archit. Code Optim. Asmita Pal, Keerthana Desai, Rahul Chatterjee, Joshua San Miguel
2024	—	`conf`	Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. ASPLOS (2) Zhewen Pan, Joshua San Miguel, Di Wu
2024	—	`conf`	TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling. Euro-Par (3) Dian-Lun Lin, Ümit Y. Ogras, Joshua San Miguel, Tsung-Wei Huang
2023	J	`jnl`	As-Is Approximate Computing. ACM Trans. Archit. Code Optim. Mitali Soni, Asmita Pal, Joshua San Miguel
2022	J	`jnl`	CAP'NN: A Class-aware Framework for Personalized Neural Network Inference. ACM Trans. Embed. Comput. Syst. Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
2022	A*	`conf`	NvMR: non-volatile memory renaming for intermittent computing. ISCA Abhishek Bhattacharyya, Abhijith Somashekhar, Joshua San Miguel
2022	A*	`conf`	Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. HPCA Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
2022	—	`conf`	Streaming Accuracy: Characterizing Early Termination in Stochastic Computing. ASP-DAC Hsuan Hsiao, Joshua San Miguel, Jason Helge Anderson
2022	A*	`conf`	uBrain: a unary brain computer interface. ISCA Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel
2022	A*	`conf`	uSystolic: Byte-Crawling Unary Systolic Array. HPCA Di Wu, Joshua San Miguel
2021	J	`jnl`	AirNN: A Featherweight Framework for Dynamic Input-Dependent Approximation of CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
2021	—	`conf`	Ghostwriter: A Cache Coherence Protocol for Error-Tolerant Applications. ICPP Workshops Henry Kao, Joshua San Miguel, Natalie D. Enright Jerger
2021	J	`jnl`	In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing. IEEE Des. Test Di Wu, Ruokai Yin, Joshua San Miguel
2021	—	`ed.`	NOCS '21: International Symposium on Networks-on-Chip, Virtual Event, October 14-15, 2021 NOCS Tushar Krishna, John Kim, Sergi Abadal, Joshua San Miguel
2021	—	`conf`	Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. ASP-DAC Di Wu, Ruokai Yin, Joshua San Miguel
2021	A*	`conf`	Pitstop: Enabling a Virtual Network Free Network-on-Chip. HPCA Hossein Farrokhbakht, Henry Kao, Kamran Hasan, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
2021	A	`conf`	SEEC: stochastic escape express channel. SC Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
2021	C	`conf`	Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD Di Wu, Joshua San Miguel
2021	A	`conf`	UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. ISLPED Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel
2021	—	`conf`	Zero Correlation Error: A Metric for Finite-Length Bitstream Independence in Stochastic Computing. ASP-DAC Hsuan Hsiao, Joshua San Miguel, Yuko Hara-Azumi, Jason Helge Anderson
2021	J	`jnl`	uGEMM: Unary Computing for GEMM Applications. IEEE Micro Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
2020	—	`conf`	Bufferless NoCs with Scheduled Deflection Routing. NOCS Chen Chen, Zirui Tao, Joshua San Miguel
2020	A*	`conf`	CAP'NN: Class-Aware Personalized Neural Network Inference. DAC Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi
2020	—	`conf`	CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. ASP-DAC Maedeh Hemmat, Tejas Shah, Yuhua Chen, Joshua San Miguel
2020	A*	`conf`	DRAIN: Deadlock Removal for Arbitrary Irregular Networks. HPCA Mayank Parasar, Hossein Farrokhbakht, Natalie D. Enright Jerger, Paul V. Gratz, Tushar Krishna, Joshua San Miguel
2020	J	`jnl`	SHASTA: Synergic HW-SW Architecture for Spatio-temporal Approximation. ACM Trans. Archit. Code Optim. Gokul Subramanian Ravi, Joshua San Miguel, Mikko H. Lipasti
2020	A*	`conf`	UGEMM: Unary Computing Architecture for GEMM Applications. ISCA Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
2020	J	`jnl`	Value Locality Based Approximation With ODIN. IEEE Comput. Archit. Lett. Rahul Singh, Gokul Subramanian Ravi, Mikko H. Lipasti, Joshua San Miguel
2019	—	`ch.`	Approximate Cache Architectures. Approximate Circuits Natalie D. Enright Jerger, Joshua San Miguel
2019	A*	`conf`	In-Stream Stochastic Division and Square Root via Correlation. DAC Di Wu, Joshua San Miguel
2019	A	`conf`	SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization. ISLPED Di Wu, Tianen Chen, Chien-Fu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko H. Lipasti, Younghyun Kim
2019	A*	`conf`	SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. MICRO Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
2019	A*	`conf`	The What's Next Intermittent Computing Architecture. HPCA Karthik Ganesan, Joshua San Miguel, Natalie D. Enright Jerger
2018	J	`jnl`	A Taxonomy of General Purpose Approximate Computing Techniques. IEEE Embed. Syst. Lett. Thierry Moreau, Joshua San Miguel, Mark Wyse, James Bornholt, Armin Alaghi, Luis Ceze, Natalie D. Enright Jerger, Adrian Sampson
2018	J	`jnl`	Approximate Computing. IEEE Micro Natalie D. Enright Jerger, Joshua San Miguel
2018	J	`jnl`	The EH Model: Analytical Exploration of Energy-Harvesting Architectures. IEEE Comput. Archit. Lett. Joshua San Miguel, Karthik Ganesan, Mario Badr, Natalie D. Enright Jerger
2018	A*	`conf`	The EH Model: Early Design Space Exploration of Intermittent Processor Architectures. MICRO Joshua San Miguel, Karthik Ganesan, Mario Badr, Chunqiu Xia, Rose Li, Hsuan Hsiao, Natalie D. Enright Jerger
2016	J	`jnl`	Practical Multidimensional Branch Prediction. IEEE Micro André Seznec, Joshua San Miguel, Jorge Albericio
2016	A*	`conf`	The Anytime Automaton. ISCA Joshua San Miguel, Natalie D. Enright Jerger
2016	A*	`conf`	The Bunker Cache for spatio-value approximation. MICRO Joshua San Miguel, Jorge Albericio, Natalie D. Enright Jerger, Aamer Jaleel
2016	A*	`conf`	The runahead network-on-chip. HPCA Zimo Li, Joshua San Miguel, Natalie D. Enright Jerger
2015	—	`conf`	Data Criticality in Network-On-Chip Design. NOCS Joshua San Miguel, Natalie D. Enright Jerger
2015	A*	`conf`	Doppelgänger: a cache for approximate computing. MICRO Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
2015	A*	`conf`	The inner most loop iteration counter: a new dimension in branch history. MICRO André Seznec, Joshua San Miguel, Jorge Albericio
2014	A*	`conf`	Load Value Approximation. MICRO Joshua San Miguel, Mario Badr, Natalie D. Enright Jerger
2014	A*	`conf`	Wormhole: Wisely Predicting Multidimensional Branches. MICRO Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos