ILP-Based Scheduling for Parallelizable Tasks. - Kana Shimada; Shogo Kitano; Ittetsu Taniguchi; Hiroyuki Tomiyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Communication-aware scheduling of data-parallel tasks: work-in-progress. - Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (CASES, 2018)

Scheduling of Malleable Fork-Join Tasks with Constraint Programming. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (CANDAR, 2018)

Scheduling of Malleable Tasks Based on Constraint Programming. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (TENCON, 2018)

Scheduling of Malleable Tasks with DMA-based Communication. - Kana Shimada; Takuma Hikida; Hiroki Nishikawa; Ittetsu Taniguchi; Hiroyuki Tomiyama (ISOCC, 2019)

A Constraint Programming Approach to Scheduling of Malleable Tasks. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (Int. J. Netw. Comput., 2019)

Communication-Aware Scheduling of Data-Parallel Tasks on Multicore Architectures. - Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (IPSJ Trans. Syst. LSI Des. Methodol., 2019)

Energy-aware scheduling of malleable fork-join tasks under a deadline constraint on heterogeneous multicores. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (SIGBED Rev., 2019)

ILP-based scheduling for malleable fork-join tasks. - Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (SIGBED Rev., 2019)

Scheduling of moldable fork-join tasks with inter- and intra-task communications. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (SCOPES, 2020)

Simultaneous Scheduling and Core-Type Optimization for Moldable Fork-Join Tasks on Heterogeneous Multicores. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Mouldable fork-join task scheduling techniques with inter and intra-task communications. - Hiroki Nishikawa; Kana Shimada; Ittetsu Taniguchi; Hiroyuki Tomiyama (Int. J. Embed. Syst., 2022)