Simulating a Mesh with Separable Buses by a Mesh with Partitioned Buses. - Susumu Matsumae; Nobuki Tokura (ISPAN, 1999)

An efficient self-simulation algorithm for reconfigurable meshes. - Susumu Matsumae; Nobuki Tokura (SPAA, 2000)

Efficient Gather Operation in Heterogeneous Cluster Systems. - Fukuhito Ooshita; Susumu Matsumae; Toshimitsu Masuzawa (HPCS, 2002)

An Efficient Scaling-Simulation Algorithm of Reconfigurable Meshes by Meshes with Partitioned Buses. - Susumu Matsumae (IPDPS, 2003)

Scheduling for Gather Operation in Heterogeneous Parallel Computing Environments. - Fukuhito Ooshita; Susumu Matsumae; Toshimitsu Masuzawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

A Tight Bound for Scaling-Simulation Problem of Meshes with Separable Buses by Meshes with Partitioned Buses. - Susumu Matsumae (PDCS, 2004)

Optimal Simulation of Meshes with Dynamically Separable Buses by Meshes with Statically Partitioned Buses. - Susumu Matsumae (ISPAN, 2004)

Simulation Of Meshes With Separable Buses By Meshes With Multiple Partitioned Buses. - Susumu Matsumae (Int. J. Found. Comput. Sci., 2004)

Scheduling for broadcast operation in heterogeneous parallel computing environments. - Fukuhito Ooshita; Susumu Matsumae; Toshimitsu Masuzawa; Nobuki Tokura (Syst. Comput. Jpn., 2004)

Scaling-Simulation of Linear Reconfigurable Meshes by Horizontal-Vertical Reconfigurable Meshes. - Susumu Matsumae (PDPTA, 2005)

An Efficient Scaling-Simulation Algorithm of Reconfigurable Meshes by Meshes with Statically Partitioned Buses. - Susumu Matsumae (IEICE Trans. Inf. Syst., 2005)

Polylogarihmic Gap between Meshes with Dynamically Separable Buses and Meshes with Statically Partitioned Buses. - Susumu Matsumae (PDCS, 2006)

Impact of Layered Buses on Scaling-Simulation of Reconfigurable Meshes. - Susumu Matsumae (PDPTA, 2006)

Scheduling Independent Tasks on Heterogeneous Parallel Computing Environments under the Unidirectional One-Port Model. - Fukuhito Ooshita; Susumu Matsumae; Toshimitsu Masuzawa (PDPTA, 2006)

Tight bounds on the simulation of meshes with dynamically reconfigurable row/column buses by meshes with statically partitioned buses. - Susumu Matsumae (J. Parallel Distributed Comput., 2006)

Impact of Reconfigurability on Meshes with Row/Column Buses. - Susumu Matsumae (PDPTA, 2007)

Scheduling for Independent-Task Applications on Heterogeneous Parallel Computing Environments under the Unidirectional One-Port Model. - Fukuhito Ooshita; Susumu Matsumae; Toshimitsu Masuzawa (IEICE Trans. Inf. Syst., 2007)

Impact of Reconfigurability on Meshes with Separable Row/Column Buses. - Susumu Matsumae (PDCCS, 2008)

Improving Hierarchical Power Saving Technique with Location Information for Sensor Networks. - Susumu Matsumae; Naoto Miyazaki (PDPTA, 2008)

Energy-Efficient Cell Partition of 3D Space for Sensor Networks with Location Information. - Susumu Matsumae (Netw. Protoc. Algorithms, 2009)

Efficient Partitioning of Static Buses for Processor Arrays of Small Size. - Susumu Matsumae (ICA3PP (1), 2010)

Polylogarithmic time simulation of reconfigurable row/column buses by static buses. - Susumu Matsumae (IPDPS Workshops, 2010)

Impact of Reconfigurable Function on Meshes with Row/Column Buses. - Susumu Matsumae (Int. J. Netw. Comput., 2011)

Effective Partitioning of Static Global Buses for Small Processor Arrays. - Susumu Matsumae (J. Inf. Process. Syst., 2011)

The super warp architecture with random address shift. - Koji Nakano; Susumu Matsumae (HiPC, 2013)

The Random Address Shift to Reduce the Memory Access Congestion on the Discrete Memory Machine. - Koji Nakano; Susumu Matsumae; Yasuaki Ito (CANDAR, 2013)

Polylogarithmic Gap between Meshes with Reconfigurable Row/Column Buses and Meshes with Statically Partitioned Buses. - Susumu Matsumae (CoRR, 2013)

Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks. - Susumu Matsumae; Fukuhito Ooshita (CoRR, 2013)

Random Address Permute-Shift Technique for the Shared Memory on GPUs. - Koji Nakano; Susumu Matsumae; Yasuaki Ito (ICPP Workshops, 2014)

Preface. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2014)

APDCM Introduction and Committees. - Oscar H. Ibarra; Koji Nakano; Akihiro Fujiwara; Susumu Matsumae (IPDPS Workshops, 2015)

Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2014. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2015)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2015. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2016)

Improving Multiple Precision Integer Multiplication on GPUs. - Makoto Miyazaki; Susumu Matsumae (CANDAR, 2017)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2016. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2017)

A Pipeline Implementation for Dynamic Programming on GPU. - Makoto Miyazaki; Susumu Matsumae (CANDAR Workshops, 2018)

Introduction to APDCM 2018. - Oscar H. Ibarra; Koji Nakano; Akihiro Fujiwara; Susumu Matsumae (IPDPS Workshops, 2018)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2017. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2018)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2018. - Akihiro Fujiwara; Susumu Matsumae (Int. J. Netw. Comput., 2019)

Workshop 10: APDCM Advances in Parallel and Distributed Computational Models. - Jacir Luiz Bordim; Koji Nakano; Susumu Matsumae; Masahiro Shibata (IPDPS Workshops, 2020)

Solving Dynamic Programming Problem by Pipeline Implementation on GPU. - Susumu Matsumae; Makoto Miyazaki (CoRR, 2020)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2020. - Susumu Matsumae; Masahiro Shibata (Int. J. Netw. Comput., 2021)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2021. - Susumu Matsumae; Masahiro Shibata (Int. J. Netw. Comput., 2022)

Dimensionality Reduction Methods Using VAE for Deep Reinforcement Learning of Autonomous Driving. - Yuta Uehara; Susumu Matsumae (CANDARW, 2023)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2022. - Susumu Matsumae; Masahiro Shibata (Int. J. Netw. Comput., 2023)

Effect of Integrating Variational Autoencoder with SENet on Dimensionality Reduction in Driving Behavior Learning. - Yuta Uehara; Susumu Matsumae (CANDARW, 2024)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2023. - Susumu Matsumae; Masahiro Shibata (Int. J. Netw. Comput., 2024)

Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2024. - Susumu Matsumae; Masahiro Shibata (Int. J. Netw. Comput., 2025)

Enhancing Dimensionality Reduction in Driving Behavior Learning: Integrating SENet with VAE. - Yuta Uehara; Susumu Matsumae (Int. J. Netw. Comput., 2025)