Megumi Ito

21 papers C 2Journal 8Unranked 11
YearRankTypeTitle / 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 J jnl
Energy-Efficient Hardware Implementation of Spiking-Restricted Boltzmann Machines Using Pseudo-Synaptic Sampling.
Adv. Intell. Syst.
Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew J. BrightSky, Sangbum Kim
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
2022 J jnl
Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.
Adv. Intell. Syst.
Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Malte J. Rasch, Wanki Kim, Akiyo Nomura, Wonseok Choi, Dooyong Koh, Kohji Hosokawa, Matthew BrightSky, Seiji Munetoh, Sangbum Kim
2022 J jnl
Water Budget Closure in the Upper Chao Phraya River Basin, Thailand Using Multisource Data.
Remote. Sens.
Abhishek, Tsuyoshi Kinouchi, Ronnie Abolafia-Rosenzweig, Megumi Ito
2021 J jnl
Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method.
Neural Process. Lett.
Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, Sangbum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch
2019 — conf
Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model.
ICONIP (5)
Masatoshi Ishii, Megumi Ito, Wanki Kim, Sangbum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matthew BrightSky, Wilfried Haensch
2019 — conf
Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.
ICONIP (3)
Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, Sangbum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch
2018 — conf
NVM Weight Variation Impact on Analog Spiking Neural Network Chip.
ICONIP (7)
Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, Sangbum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch
2016 — conf
A power-efficient FPGA accelerator: Systolic array with cache-coherent interface for pair-HMM algorithm.
COOL Chips
Megumi Ito, Moriyoshi Ohara
2012 J jnl
Experiences in building and scaling an enterprise application on multicore systems.
Concurr. Comput. Pract. Exp.
Seetharami Seelam, Yanbin Liu, Parijat Dube, Megumi Ito, Deniz Binay, Michael Dawson, Pramod Nagaraja, Graeme Johnson, Liana Fong, Michel Hack, Xiaoqiao Meng, Yuqing Gao, Li Zhang
2011 — conf
A Tool for Scalable Profiling and Tracing of Java and Native Code Interactions.
QEST
Parijat Dube, Seetharami Seelam, Yanbin Liu, Megumi Ito, Thomas Ling, Michel Hack, Liana Fong, Graeme Johnson, Michael Dawson, Li Zhang, Yuqing Gao
2011 J jnl
Making a Virtual Machine Monitor Interruptible.
Inf. Media Technol.
Megumi Ito, Shuichi Oikawa
2011 J jnl
Making a Virtual Machine Monitor Interruptible.
J. Inf. Process.
Megumi Ito, Shuichi Oikawa
2008 — conf
Improving Real-Time Performance of a Virtual Machine Monitor Based System.
SEUS
Megumi Ito, Shuichi Oikawa
2008 C conf
Lightweight Shadow Paging for Efficient Memory Isolation in Gandalf VMM.
ISORC
Megumi Ito, Shuichi Oikawa
2007 — conf
Mesovirtualization: Lightweight Virtualization Technique for Embedded Systems.
SEUS
Megumi Ito, Shuichi Oikawa
2006 C conf
Linux/RTOS Hybrid Operating Environment on Gandalf Virtual Machine Monitor.
EUC
Shuichi Oikawa, Megumi Ito, Tatsuo Nakajima