Daniel F. Smith

14 papers B 1Misc 2Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference. CoRR Michael V. DeBole, Rathinakumar Appuswamy, Neil McGlohon, Brian Taba, Steven K. Esser, Filipp Akopyan, John V. Arthur, Arnon Amir, Alexander Andreopoulos, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Tapan K. Nayak, Carlos Ortega Otero, Hartmut Penner, William P. Risk, Jun Sawada, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Takanori Ueda, Trent Gray-Donald, David D. Cox, Dharmendra S. Modha
2025	—	`conf`	The NorthPole Validator: A Cycle-Accurate Simulator for HW/SW Codesign of a Prescheduled Neural Inference Accelerator. HPEC Alexander Andreopoulos, Michael V. DeBole, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Tapan K. Nayak, Daniel F. Smith, Brian Taba, Filipp Akopyan, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Carlos Ortega Otero, William P. Risk, Jun Sawada, Myron D. Flickner, Dharmendra S. Modha
2024	—	`conf`	11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024	—	`conf`	Breakthrough Edge AI Inference Performance Using Northpole in 3U Vpx Form Factor. HPEC Filipp Akopyan, William P. Risk, John V. Arthur, Andrew S. Cassidy, Michael V. DeBole, Carlos Ortega Otero, Jun Sawada, Evan Colgan, Michael E. Criscolo, Phillip V. Mann, Heinz Baier, Kai Schleupen, Arnon Amir, Alexander Andreopoulos, Rathinakumar Appuswamy, Deepika Bablani, Peter J. Carlson, Pallab Datta, Steven K. Esser, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Brian Taba, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024	—	`conf`	Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole. HPEC Rathinakumar Appuswamy, Michael V. DeBole, Brian Taba, Steven K. Esser, Andrew S. Cassidy, Arnon Amir, Alexander Andreopoulos, Deepika Bablani, Pallab Datta, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Tapan K. Nayak, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Filipp Akopyan, Peter J. Carlson, Rajamohan Gandhasri, Guillaume Garreau, Nelson M. Gonzalez, Megumi Ito, Jennifer L. Klamo, Yutaka Y. Nakamura, Carlos Ortega Otero, William P. Risk, Jun Sawada, Kai Schleupen, Jay Sivagnaname, Matthew Stallone, Takanori Ueda, Myron D. Flickner, John V. Arthur, Rameswar Panda, David D. Cox, Dharmendra S. Modha
2023	—	`conf`	IBM NorthPole Neural Inference Machine. HCS Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda
2021	Misc	`conf`	Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. DICTA Sarah Alhammad, Kun Zhao, Anthony Jennings, Peter Hobson, Daniel F. Smith, Brett Baker, Justin Staweno, Brian C. Lovell
2018	Misc	`conf`	DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. DICTA Kun Zhao, Yu Ji Jerry Tang, Teng Zhang, Johanna Carvajal, Daniel F. Smith, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018	B	`conf`	SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. ICPR Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018	J	`jnl`	SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. CoRR Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2017	—	`conf`	An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. CVPR Workshops Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell
2016	—	`—`	Countering digital replay attacks for face verification on consumer smart devices using structured illumination Daniel F. Smith
2015	—	`conf`	Binary watermarks: a practical method to address face recognition replay attacks on consumer mobile devices. ISBA Daniel F. Smith, Arnold Wiliem, Brian C. Lovell
2015	J	`jnl`	Face Recognition on Consumer Devices: Reflections on Replay Attacks. IEEE Trans. Inf. Forensics Secur. Daniel F. Smith, Arnold Wiliem, Brian C. Lovell