2 citations · 2 across the 3 of their papers we have counts for
4 papers
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa +30
The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability…
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling
Masatoshi Hanai, Nikos Tziritas, Toyotaro Suzumura +2
The dynamic scaling of distributed computations plays an important role in the utilization of elastic computational resources, such as the cloud. It enables the provisioning and de…
Performance Evaluation of Dynamic Scaling on MPI
Masatoshi Hanai, Georgios Theodoropoulos
Dynamic scaling aims to elastically change the number of processes during runtime to tune the performance of the distributed applications. This report briefly presents a performanc…
Distributed Edge Partitioning for Trillion-edge Graphs
Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan +3
We propose Distributed Neighbor Expansion (Distributed NE), a parallel and distributed graph partitioning method that can scale to trillion-edge graphs while providing high partiti…