Brian Crafton

37 papers A* 3A 2C 5Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2026 — conf
30.5 A 16nm 72kb 120.5TFLOPS/W Versatile-Format Dual-Representation Gain-Cell CIM Macro for General Purpose AI Tasks.
ISSCC
Jen-Chun Tien, Win-San Khwa, Le-Jung Hsieh, Tsung-Han Lou, Jyun-Cheng Bai, Yu-Sheng Kao, Ting-Hao Hsu, Mai Tseng, Hung-Hsi Hsu, Yao-Kai Yeh, De-Qi You, Ashwin Sanjay Lele, Brian Crafton, Bo Zhang, Ping-Sheng Wu, Ya-Tang Yang, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Meng-Fan Chang
2026 J jnl
A 3 nm FinFET 125 TOPS/W-29 TFLOPS/W, 90 TOPS/mm
IEEE J. Solid State Circuits
Haruki Mori, Je-Min Hung, Wei-Chang Zhao, Kinshuk Khare, Brian Crafton, Hiroaki Ishii, Cheng-En Lee, Xiaochen Peng, Xiaoyu Sun, Yorinobu Fujino, Chia-Jung Tsen, Vineet Joshi, Chao-Kai Chuang, Takeshi Hashizume, Chia-Fu Lee, Tan-Li Chou, Kerem Akarvardar, Saman Adham, Yih Wang, Hidehiro Fujiwara, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang
2026 J jnl
Exploration of Algorithm-Hardware Co-Design for Floating-Point Digital Compute-in-Memory.
IEEE Comput. Archit. Lett.
Xiaochen Peng, Haruki Mori, Abhiroop Bhattacharjee, Brian Crafton, Hidehiro Fujiwara, Kerem Akarvardar
2026 J jnl
Ultrafast Generative AI by Ultradense 3D Integration: A Case Study on LLM-based Edge Inference.
ACM Trans. Design Autom. Electr. Syst.
Kerem Akarvardar, Xiaoyu Sun, Brian Crafton, Xiaochen Peng, Haruki Mori, Abhiroop Bhattacharjee, Hidehiro Fujiwara, H.-S. Philip Wong
2025 J jnl
An Edge Accelerator With 5 MB of 0.256-pJ/bit Embedded RRAM and a Localization Solver for Bristle Robot Surveillance.
IEEE J. Solid State Circuits
Samuel D. Spetalnick, Ashwin Sanjay Lele, Brian Crafton, Muya Chang, Sigang Ryu, Jong-Hyeok Yoon, Zhijian Hao, Azadeh Ansari, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2025 C conf
Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory.
ISCAS
Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2025 J jnl
Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory.
CoRR
Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2025 J jnl
Enhancing DCIM Efficiency with Multi-Storage-Row Architecture for Edge AI Workloads.
IEEE Comput. Archit. Lett.
Xiaoyu Sun, Haruki Mori, Wei-Chang Zhao, Je-Min Hung, Hidehiro Fujiwara, Brian Crafton, Bo Zhang, Win-San Khwa, Yu-Der Chih, Tsung-Yung Jonathan Chang, Kerem Akarvardar
2025 A* conf
Finding the Pareto Frontier of Low-Precision Data Formats and MAC Architecture for LLM Inference.
DAC
Brian Crafton, Xiaochen Peng, Xiaoyu Sun, Ashwin Sanjay Lele, Bo Zhang, Win-San Khwa, Kerem Akarvardar
2024 — conf
30.1 A 40nm VLIW Edge Accelerator with 5MB of 0.256pJ/b RRAM and a Localization Solver for Bristle Robot Surveillance.
ISSCC
Samuel D. Spetalnick, Ashwin Sanjay Lele, Brian Crafton, Muya Chang, Sigang Ryu, Jong-Hyeok Yoon, Zhijian Hao, Azadeh Ansari, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2024 — conf
A 28nm Approximate / Binary 6T CAM for Sequence Alignment.
VLSI Technology and Circuits
Brian Crafton, Samuel D. Spetalnick, Muya Chang, Arijit Raychowdhury
2024 J jnl
A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking.
IEEE J. Solid State Circuits
Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2024 J jnl
Efficient Processing of MLPerf Mobile Workloads Using Digital Compute-In-Memory Macros.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaoyu Sun, Weidong Cao, Brian Crafton, Kerem Akarvardar, Haruki Mori, Hidehiro Fujiwara, Hiroki Noguchi, Yu-Der Chih, Meng-Fan Chang, Yih Wang, Tsung-Yung Jonathan Chang
2023 — conf
A 2.38 MCells/mm
VLSI Technology and Circuits
Samuel D. Spetalnick, Muya Chang, Shota Konno, Brian Crafton, Ashwin Sanjay Lele, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2023 — conf
A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking.
ISSCC
Muya Chang, Ashwin Sanjay Lele, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2023 C conf
Live Demonstration: Hybrid RRAM and SRAM SoC for Fused Frame and Event Target Tracking.
ISCAS
Ashwin Sanjay Lele, Muya Chang, Samuel Spetalnick, Yan Fang, Brian Crafton, Shota Konno, Arijit Raychowdhury
2023 A* conf
Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem.
DAC
Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang
2023 — —
Overcoming Device Level Challenges to Enable Compute In-Memory with Emerging Non-Volatile Memory.
Brian Crafton
2022 — conf
A 40nm 60.64TOPS/W ECC-Capable Compute-in-Memory/Digital 2.25MB/768KB RRAM/SRAM System with Embedded Cortex M3 Microprocessor for Edge Recommendation Systems.
ISSCC
Muya Chang, Samuel D. Spetalnick, Brian Crafton, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2022 — conf
A 40nm 64kb 26.56TOPS/W 2.37Mb/mm
ISSCC
Samuel D. Spetalnick, Muya Chang, Brian Crafton, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
2022 C conf
Characterization and Mitigation of IR-Drop in RRAM-based Compute In-Memory.
ISCAS
Brian Crafton, Connor Talley, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury
2022 A* conf
Improving compute in-memory ECC reliability with successive correction.
DAC
Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury
2021 J jnl
A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences.
IEEE Trans. Circuits Syst. I Regul. Pap.
Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2021 — conf
Automatic Generation of Translators for Packet-Based and Emerging Protocols.
ISQED
Brian Crafton, Arijit Raychowdhury, Sung Kyu Lim
2021 — conf
CIM-SECDED: A 40nm 64Kb Compute In-Memory RRAM Macro with ECC Enabling Reliable Operation.
A-SSCC
Brian Crafton, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury
2021 — conf
Hardware-Algorithm Co-Design Enabling Efficient Event-based Object Detection.
AICAS
Brian Crafton, Andrew Paredes, Evan Gebhardt, Arijit Raychowdhury
2021 — conf
Merged Logic and Memory Fabrics for AI Workloads.
ASP-DAC
Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2021 J jnl
Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads.
IEEE Des. Test
Brian Crafton, Samuel Spetalnick, Yan Fang, Arijit Raychowdhury
2021 A conf
Statistical Optimization of Compute In-Memory Performance Under Device Variation.
ISLPED
Brian Crafton, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury
2020 J jnl
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics.
CoRR
Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2020 C conf
Breaking Barriers: Maximizing Array Utilization for Compute in-Memory Fabrics.
VLSI-SOC
Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2020 J jnl
Counting Cards: Exploiting Weight and Variance Distributions for Robust Compute In-Memory.
CoRR
Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury
2020 C conf
Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices.
ISCAS
Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2020 — conf
Statistical Array Allocation and Partitioning for Compute In-Memory Fabrics.
VLSI-SoC (Selected Papers)
Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2019 J jnl
Direct Feedback Alignment with Sparse Connections for Local Learning.
CoRR
Brian Crafton, Abhinav Parihar, Evan Gebhardt, Arijit Raychowdhury
2019 J jnl
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices.
CoRR
Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2019 A conf
Local Learning in RRAM Neural Networks with Sparse Direct Feedback Alignment.
ISLPED
Brian Crafton, Matt West, Padip Basnet, Eric Vogel, Arijit Raychowdhury