A Scalable Mark-Sweep Garbage Collector on Large-Scale Shared-Memory Machines. - Toshio Endo; Kenjiro Taura; Akinori Yonezawa (SC, 1997)

On a High-Speed Hough Transform Algorithm MRHT. - Kunihito Kato; Toshio Endo; Kazuhito Murakami; Takashi Toriu; Hiroyasu Koshimizu (MVA, 1998)

Predicting Scalability of Parallel Garbage Collectors on Shared Memory Multiprocessors. - Toshio Endo; Kenjiro Taura; Akinori Yonezawa (IPDPS, 2001)

Reducing pause time of conservative collectors. - Toshio Endo; Kenjiro Taura (MSP/ISMM, 2002)

Phoenix: a parallel programming model for accommodating dynamically joining/leaving resources. - Kenjiro Taura; Kenji Kaneda; Toshio Endo; Akinori Yonezawa (PPoPP, 2003)

High performance LU factorization for non-dedicated clusters. - Toshio Endo; Kenji Kaneda; Kenjiro Taura; Akinori Yonezawa (CCGRID, 2004)

Highly latency tolerant Gaussian elimination. - Toshio Endo; Kenjiro Taura (GRID, 2005)

High-Performance MPI Broadcast Algorithm for Grid Environments Utilizing Multi-lane NICs. - Tatsuhiro Chiba; Toshio Endo; Satoshi Matsuoka (CCGRID, 2007)

ABARIS: An Adaptable Fault Detection/Recovery Component Framework for MPIs. - Hideyuki Jitsumoto; Toshio Endo; Satoshi Matsuoka (IPDPS, 2007)

Environmental-aware optimization of MPI checkpointing intervals. - Hideyuki Jitsumoto; Toshio Endo; Satoshi Matsuoka (CLUSTER, 2008)

Access-pattern and bandwidth aware file replication algorithm in a grid environment. - Hitoshi Sato; Satoshi Matsuoka; Toshio Endo; Naoya Maruyama (GRID, 2008)

Massive supercomputing coping with heterogeneity of modern accelerators. - Toshio Endo; Satoshi Matsuoka (IPDPS, 2008)

Performance evaluation of parallel applications on next generation memory architecture with power-aware paging method. - Y. Hosogaya; Toshio Endo; Satoshi Matsuoka (IPDPS, 2008)

An efficient, model-based CPU-GPU heterogeneous FFT library. - Yasuhiko Ogata; Toshio Endo; Naoya Maruyama; Satoshi Matsuoka (IPDPS, 2008)

Locality aware MPI communication on a commodity opto-electronic hybrid network. - Shin'ichiro Takizawa; Toshio Endo; Satoshi Matsuoka (IPDPS, 2008)

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA. - Akira Nukada; Yasuhiko Ogata; Toshio Endo; Satoshi Matsuoka (SC, 2008)

File Clustering Based Replication Algorithm in a Grid Environment. - Hitoshi Sato; Satoshi Matsuoka; Toshio Endo (CCGRID, 2009)

Power-aware dynamic task scheduling for heterogeneous accelerated clusters. - Tomoaki Hamano; Toshio Endo; Satoshi Matsuoka (IPDPS, 2009)

Statistical power modeling of GPU kernels using performance counters. - Hitoshi Nagasaka; Naoya Maruyama; Akira Nukada; Toshio Endo; Satoshi Matsuoka (Green Computing Conference, 2010)

Linpack evaluation on a supercomputer with heterogeneous accelerators. - Toshio Endo; Akira Nukada; Satoshi Matsuoka; Naoya Maruyama (IPDPS, 2010)

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code. - Takashi Shimokawabe; Takayuki Aoki; Chiashi Muroi; Junichi Ishida; Kohei Kawano; Toshio Endo; Akira Nukada; Naoya Maruyama; Satoshi Matsuoka (SC, 2010)

Petaflop biofluidics simulations on a two million-core system. - Massimo Bernaschi; Mauro Bisson; Toshio Endo; Satoshi Matsuoka; Massimiliano Fatica; Simone Melchionna (SC, 2011)

Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer. - Takashi Shimokawabe; Takayuki Aoki; Tomohiro Takaki; Toshio Endo; Akinori Yamanaka; Naoya Maruyama; Akira Nukada; Satoshi Matsuoka (SC, 2011)

High-performance general solver for extremely large-scale semidefinite programming problems. - Katsuki Fujisawa; Hitoshi Sato; Satoshi Matsuoka; Toshio Endo; Makoto Yamashita; Maho Nakata (SC, 2012)

A parallel optimization method for stencil computation on the domain that is bigger than memory capacity of GPUs. - Guanghao Jin; Toshio Endo; Satoshi Matsuoka (CLUSTER, 2013)

A Multi-Level Optimization Method for Stencil Computation on the Domain that is Bigger than Memory Capacity of GPU. - Guanghao Jin; Toshio Endo; Satoshi Matsuoka (IPDPS Workshops, 2013)

Software technologies coping with memory hierarchy of GPGPU clusters for stencil computations. - Toshio Endo; Guanghao Jin (CLUSTER, 2014)

An evaluation of the potential of flash SSD as large and slow memory for stencil computations. - Hiroko Midorikawa; Hideyuki Tan; Toshio Endo (HPCS, 2014)

TSUBAME-KFC: A modern liquid submersion cooling prototype towards exascale becoming the greenest supercomputer in the world. - Toshio Endo; Akira Nukada; Satoshi Matsuoka (ICPADS, 2014)

Petascale General Solver for Semidefinite Programming Problems with Over Two Million Constraints. - Katsuki Fujisawa; Toshio Endo; Yuichiro Yasui; Hitoshi Sato; Naoki Matsuzawa; Satoshi Matsuoka; Hayato Waki (IPDPS, 2014)

Special Issue on Applications for the Heterogeneous Computing Era. - Jiayuan Meng; Toshio Endo (Int. J. High Perform. Comput. Appl., 2014)

Realizing Extremely Large-Scale Stencil Applications on GPU Supercomputers. - Toshio Endo; Yuki Takasaki; Satoshi Matsuoka (ICPADS, 2015)

Exploration of Lossy Compression for Application-Level Checkpoint/Restart. - Naoto Sasaki; Kento Sato; Toshio Endo; Satoshi Matsuoka (IPDPS, 2015)

Data Driven Scheduling Approach for the Multi-node Multi-GPU Cholesky Decomposition. - Yuki Tsujita; Toshio Endo (JSSPP, 2015)

Exana: an execution-driven application analysis tool for assisting productive performance tuning. - Yukinori Sato; Shimpei Sato; Toshio Endo (SEPS@SPLASH, 2015)

Investigating potential performance benefits of memory layout optimization based on roofline model. - Shimpei Sato; Yukinori Sato; Toshio Endo (SEPS@SPLASH, 2015)

The scalable petascale data-driven approach for the Cholesky factorization with multiple GPUs. - Yuki Tsujita; Toshio Endo; Katsuki Fujisawa (ESPM@SC, 2015)

Power Capping of CPU-GPU Heterogeneous Systems using Power and Performance Models. - Kazuki Tsuzuku; Toshio Endo (SMARTGREENS, 2015)

Evaluating the impacts of code-level performance tunings on power efficiency. - Satoshi Imamura; Keitaro Oka; Yuichiro Yasui; Yuichi Inadomi; Katsuki Fujisawa; Toshio Endo; Koji Ueno; Keiichiro Fukazawa; Nozomi Hata; Yuta Kakibuka; Koji Inoue; Takatsugu Ono (IEEE BigData, 2016)

From FLOPS to BYTES: disruptive change in high-performance computing towards the post-moore era. - Satoshi Matsuoka; Hideharu Amano; Kengo Nakajima; Koji Inoue; Tomohiro Kudoh; Naoya Maruyama; Kenjiro Taura; Takeshi Iwashita; Takahiro Katagiri; Toshihiro Hanawa; Toshio Endo (Conf. Computing Frontiers, 2016)

Realizing Out-of-Core Stencil Computations Using Multi-tier Memory Hierarchy on GPGPU Clusters. - Toshio Endo (CLUSTER, 2016)

Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers. - Katsuki Fujisawa; Toshio Endo; Yuichiro Yasui (ICMS, 2016)

PGAS Communication Runtime for Extreme Large Data Computation. - Ryo Matsumiya; Toshio Endo (ESPM2@SC, 2016)

ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity. - Yuki Ito; Ryo Matsumiya; Toshio Endo (IEEE BigData, 2017)

ExanaDBT: A Dynamic Compilation System for Transparent Polyhedral Optimizations at Runtime. - Yukinori Sato; Tomoya Yuki; Toshio Endo (Conf. Computing Frontiers, 2017)

A Stencil Framework to Realize Large-Scale Computations Beyond Device Memory Capacity on GPU Supercomputers. - Takashi Shimokawabe; Toshio Endo; Naoyuki Onodera; Takayuki Aoki (CLUSTER, 2017)

An Accurate Simulator of Cache-Line Conflicts to Exploit the Underlying Cache Performance. - Yukinori Sato; Toshio Endo (Euro-Par, 2017)

Applying Temporal Blocking with a Directive-based Approach. - Shota Kuroda; Toshio Endo; Satoshi Matsuoka (LLVM-HPC@SC, 2017)

Exhaustive evaluation of memory-latency sensitivity on manycore processors with large cache. - Noboru Tanabe; Toshio Endo (HP3C, 2018)

Scalable RMA-based Communication Library Featuring Node-local NVMs. - Ryo Matsumiya; Toshio Endo (HPEC, 2018)

Applying Recursive Temporal Blocking for Stencil Computations to Deeper Memory Hierarchy. - Toshio Endo (NVMSA, 2018)

Characterizing Memory-Latency Sensitivity of Sparse Matrix Kernels. - Noboru Tanabe; Toshio Endo (PDP, 2018)

Profiling based out-of-core hybrid method for large neural networks: poster. - Yuki Ito; Haruki Imai; Tung D. Le; Yasushi Negishi; Kiyokuni Kawachiya; Ryo Matsumiya; Toshio Endo (PPoPP, 2019)

Profiling based Out-of-core Hybrid Method for Large Neural Networks. - Yuki Ito; Haruki Imai; Tung Le Duc; Yasushi Negishi; Kiyokuni Kawachiya; Ryo Matsumiya; Toshio Endo (CoRR, 2019)

An Autotuning Framework for Scalable Execution of Tiled Code via Iterative Polyhedral Compilation. - Yukinori Sato; Tomoya Yuki; Toshio Endo (ACM Trans. Archit. Code Optim., 2019)

AN5D: automated stencil framework for high-degree temporal blocking on GPUs. - Kazuaki Matsumura; Hamid Reza Zohouri; Mohamed Wahib; Toshio Endo; Satoshi Matsuoka (CGO, 2020)

Integrating Cache Oblivious Approach with Modern Processor Architecture: The Case of Floyd-Warshall Algorithm. - Toshio Endo (HPC Asia, 2020)

Performance Modeling of HPC Applications on Overcommitted Systems. - Shohei Minami; Toshio Endo; Akihiro Nomura 002 (HPC Asia, 2021)

Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems. - Shohei Minami; Toshio Endo; Akihiro Nomura 002 (JSSPP, 2021)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Yohei Kuga; Ryo Nakamura; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Efficient Stencil Computation with Temporal Blocking by Halide DSL. - Hiroki Aikawa; Toshio Endo; Tomoya Yuki; Takahiro Hirofuchi; Tsutomu Ikegami (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Speed-up Single Shot Detector on GPU with CUDA. - Chenyu Wang; Toshio Endo; Takahiro Hirofuchi; Tsutomu Ikegami (SNPD-Summer, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Shin Matsushima; Yohei Kuga; et al. (CoRR, 2022)

Pyramid Swin Transformer for Multi-task: Expanding to More Computer Vision Tasks. - Chenyu Wang; Toshio Endo; Takahiro Hirofuchi; Tsutomu Ikegami (ACIVS, 2023)

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (GPGPU@PPoPP, 2023)

Effectiveness of the Oversubscribing Scheduling on Supercomputer Systems. - Shohei Minami; Toshio Endo; Akihiro Nomura 002 (HPC Asia, 2023)

The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System. - Shohei Minami; Toshio Endo; Akihiro Nomura 002 (HPEC, 2023)

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 2023)

Revisiting Temporal Blocking Stencil Optimizations. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 2023)

High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. - William S. Moses; Ivan R. Ivanov; Jens Domke; Toshio Endo; Johannes Doerfert; Oleksandr Zinenko (PPoPP, 2023)

Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection. - Chenyu Wang; Toshio Endo; Takahiro Hirofuchi; Tsutomu Ikegami (VISIGRAPP (5: VISAPP), 2023)

Retargeting and Respecializing GPU Workloads for Performance Portability. - Ivan R. Ivanov; Oleksandr Zinenko; Jens Domke; Toshio Endo; William S. Moses (CGO, 2024)

An Optimization Pass for Training Speed-Up and Strategy Search in 3D Parallelism. - Ryubu Hosoki; Kento Sato; Toshio Endo; Julien Bigot; Edouard Audit (CLUSTER Workshops, 2024)

Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage. - Du Wu; Peng Chen 035; Yiyu Tan; Yusuke Tanimura; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Investigating Nvidia GPU Architecture Trends via Microbenchmarks. - Lingqi Zhang 001; Ryan Barton; Peng Chen 035; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Communication Optimization for Distributed GCN Training on ABCI Supercomputer. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Accelerating Stencil Computations on a GPU by Combining Using Tensor Cores and Temporal Blocking. - Futa Kambe; Toshio Endo (GPGPU@PPoPP, 2024)

AshPipe: Asynchronous Hybrid Pipeline Parallel for DNN Training. - Ryubu Hosoki; Toshio Endo; Takahiro Hirofuchi; Tsutomu Ikegami (HPC Asia, 2024)

Real-time High-resolution X-Ray Computed Tomography. - Du Wu; Peng Chen 035; Xiao Wang 004; Isaac Lyngaas; Takaaki Miyajima; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (ICS, 2024)

Automatic Parallelization and OpenMP Offloading of Fortran Array Notation. - Ivan R. Ivanov; Jens Domke; Toshio Endo; Johannes Doerfert (IWOMP, 2024)

Challenges in Computing Resource Sharing Towards Next-Gen Interactive Accelerated HPC. - Toshio Endo; Shohei Minami; Akihiro Nomura 002; Hiroki Ohtsuji; Jun Kato 007; Masahiro Miwa; Eiji Yoshida; Tomoya Yuki; Ryuichi Sakamoto (ISC Workshops, 2024)

SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CoRR, 2024)

A General and Scalable GCN Training Framework on CPU Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Lingqi Zhang 001; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (PPoPP, 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)