Systems Research in Tokyo     


Systems Research in Tokyo - Publications (selected)

Selected Publications by the Members of TRL Systems


  • Enabling Vectorized Engine in Apache Spark
    Kazuaki Ishizaki
    Data+AI Summit 2021
  • DRMaestro: orchestrating disaggregated resources on virtualized data-centers
    Marcelo Amaral, Jordà Polo, David Carrera, Nelson Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D’Amora, Alaa Youssef, and Malgorzata Steinder
    Journal of Cloud Computing 10, 22 (2021) 


  • Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing
    Haruki Imai, Tung Le Duc, Yasushi Negishi, and Kiyokuni Kawachiya
    IEEE BigData 2020 (short paper)
  • Investigating Genome Analysis Pipeline Performance on GATK with Cloud Object Storage
    Tatsuhiro Chiba and Takeshi Yoshimura
  • Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
    Jun Doi and Hiroshi Horii
    IEEE Quantum Week 2020
  • ImageJockey: A Framework for Container Performance Engineering
    Takeshi Yoshimura, Rina Nakazawa, and Tatsuhiro Chiba
    IEEE CLOUD 2020
  • SQL Performance Improvements at a Glance in Apache Spark 3.0
    Kazuaki Ishizaki
    Spark+AI Summit 2020
  • Hyperledger Fabric Performance Characterization and Optimization Using GoLevelDB Benchmark
    Takuya Nakaike, Qi Zhang, Yohei Ueda, Tatsushi Inagaki, and Moriyoshi Ohara
    IEEE ICBC 2020


  • Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation
    Megumi Ito, Malte Rasch, Masatoshi Ishii, Atsuya Okazaki, Sangbum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, and Wilfired Haensch
    ICONIP 2019
  • High Resolution Medical Image Segmentation using Data-Swapping Method
    Haruki Imai, Samuel Matzek, Tung Le Duc, Yasushi Negishi, and Kiyokuni Kawachiya
    MICCAI 2019
  • EvFS: User-level, Event-Driven File System for Non-Volatile Memory
    Takeshi Yoshimura, Tatsuhiro Chiba, and Hiroshi Horii
    USENIX HotStorage 2019
  • Automatic GPU Memory Management for Large Neural Models in TensorFlow
    Tung Le Duc, Haruki Imai, Yasushi Negishi, and Kiyokuni Kawachiya
  • Scaling Up Parallel GC Work-Stealing in Many-Core Environments
    Michihiro Horie, Kazunori Ogata, Mikio Takeuchi, and Hiroshi Horii
  • Quantum Computing Simulator on a Heterogenous HPC System
    Jun Doi, Hitomi Takahashi, Rudy Raymond, Takashi Imamichi, and Hiroshi Horii
    ACM Computing Frontiers 2019
  • A Compiler for Deep Neural Network Accelerators to Generate Optimized Code for a Wide Range of Data Parameters from a Hand-crafted Computation Kernel
    Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Swagath Venkataramani, Jungwook Choi, Wei Wang, Vijayalakshmi Srinivasan, Moriyoshi Ohara, and Kailash Gopalakrishnan
    IEEE COOL Chips 2019
  • ConfAdvisor: A Performance-centric Configuration Tuning Framework for Containers on Kubernetes
    Tatsuhiro Chiba, Rina Nakazawa, Hiroshi Horii, Sahil Suneja, and Seetharami Seelam
    IEEE IC2E 2019
  • Analyzing and Optimizing Java Code Generation for Apache Spark Query Plan
    Kazuaki Ishizaki
    ACM/SPEC ICPE 2019
  • Profile-based Detection of Layered Bottlenecks
    Tatsushi Inagaki, Yohei Ueda, Takuya Nakaike, and Moriyoshi Ohara
    ACM/SPEC ICPE 2019
  • Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level
    Hiroshi Inoue
    AISTATS 2019


  • Column Cache: Buffer Cache for Columnar Storage on HDFS
    Takeshi Yoshimura, Tatsuhiro Chiba, and Hiroshi Horii
    IEEE BigData 2018
  • Visualization Tool for Designing Microservices with the Monolith-first Approach
    Rina Nakazawa, Takanori Ueda, Miki Enoki, and Hiroshi Horii
  • Lightweight Refresh Method for PCM-based Neuromorphic Circuits
    Megumi Ito, Masatoshi Ishii, Atsuya Okazaki, Sangbum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, and Wilfried Haensch
    IEEE NANO 2018
  • Towards Selecting Best Combination of SQL-on-Hadoop Systems and JVMs
    Tatsuhiro Chiba, Takeshi Yoshimura, Michihiro Horie, and Hiroshi Horii
    IEEE CLOUD 2018
  • Balanced Double Queues for GC Work-Stealing on Weak Memory Models
    Michihiro Horie, Hiroshi Horii, Kazunori Ogata, and Tamiya Onodera
  • Involving CPUs into Multi-GPU Deep Learning
    Tung Le Duc, Taro Sekiyama, Yasushi Negishi, Haruki Imai, and Kiyokuni Kawachiya
    ACM/SPEC ICPE 2018


  • Fast Interpolation of Grid Data at a Non-Grid Point
    Hiroshi Inoue
    IEEE BigData 2017
  • Taming Performance Degradation of Containers in the Case of Extreme Memory Overcommitment
    Rina Nakazawa, Kazunori Ogata, Seetharami Seelam, Tamiya Onodera
    IEEE CLOUD 2017
  • Accelerating Spark Datasets by Inlining Deserialization
    Jan Wróblewski, Kazuaki Ishizaki, Hiroshi Inoue, and Moriyoshi Ohara
    IEEE IPDPS 2017
  • Performance Competitiveness of a Statically Compiled Language for Server-Side Web Applications
    Yohei Ueda and Moriyoshi Ohara
    IEEE ISPASS 2017

Older publications can be found here.