189 citations · 584 across the 63 of their papers we have counts for
6 papers · 1 filter
ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
Masatoshi Hanai, Ryo Ishikawa, Mitsuaki Kawamura +16
In modern materials science, effective and high-volume data management across leading-edge experimental facilities and world-class supercomputers is indispensable for cutting-edge…
Efficient Scaling of Dynamic Graph Neural Networks
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje +3
We present distributed algorithms for training dynamic Graph Neural Networks (GNN) on large scale graphs spanning multi-node, multi-GPU systems. To the best of our knowledge, this…
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…
Benchmarking Graph Data Management and Processing Systems: A Survey
Miyuru Dayarathna, Toyotaro Suzumura
The development of scalable, representative, and widely adopted benchmarks for graph data systems have been a question for which answers has been sought for decades. We conduct an…
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…
Scalable Parallel Numerical Constraint Solver Using Global Load Balancing
Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura
We present a scalable parallel solver for numerical constraint satisfaction problems (NCSPs). Our parallelization scheme consists of homogeneous worker solvers, each of which runs…