On benchmarking task scheduling algorithms for heterogeneous computing systems

Adaptive Scheduling of Task Graphs with Dynamic Resilience

(2017) Menglan Hu et al.   IEEE TRANSACTIONS ON COMPUTERS

Clustering-Based Task Scheduling in a Large Number of Heterogeneous Processors

(2016) Hidehiro Kanemitsu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Adaptive dual-criteria task group allocation for clustering-based multi-workflow scheduling on parallel computing platform

(2015) Ying-Lin Tsai et al.   JOURNAL OF SUPERCOMPUTING

Parallelizing with BDSC, a resource-constrained scheduling algorithm for shared and distributed memory systems

(2015) Dounia Khaldi et al.   PARALLEL COMPUTING

List Scheduling Algorithm for Heterogeneous Systems by an Optimistic Cost Table

(2014) Hamid Arabnejad et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A resource-aware scheduling algorithm with reduced task duplication on heterogeneous computing systems

(2014) Jing Mei et al.   JOURNAL OF SUPERCOMPUTING

A Synthesized Heuristic Task Scheduling Algorithm

(2014) Yanyan Dai et al.   TheScientificWorldJOURNAL

Benchmarking the clustering algorithms for multiprocessor environments using dynamic priority of modules

(2012) Pramod Kumar Mishra et al.   APPLIED MATHEMATICAL MODELLING

Characterizing and profiling scientific workflows

(2012) Gideon Juve et al.   Future Generation Computer Systems-The International Journal of eScience

Scheduling for heterogeneous Systems using constrained critical paths

(2012) Minhaj Ahmad Khan   PARALLEL COMPUTING

List scheduling with duplication for heterogeneous computing systems

(2010) Xiaoyong Tang et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Task scheduling algorithm using minimized duplications in homogeneous systems

(2008) KwangSik Shin et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A high performance algorithm for static task scheduling in heterogeneous distributed computing systems

(2007) Mohammad I. Daoud et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING