15 citations · 19 across the 9 of their papers we have counts for
4 papers · 1 filter
JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency
Jing Chen, Madhavan Manivannan, Bhavishya Goel +1
Energy-efficient execution of task-based parallel applications is crucial as tasking is a widely supported feature in many parallel programming libraries and runtimes. Currently, s…
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar +1
Parallel applications often rely on work stealing schedulers in combination with fine-grained tasking to achieve high performance and scalability. However, reducing the total energ…
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar +2
Shared resource interference is observed by applications as dynamic performance asymmetry. Prior art has developed approaches to reduce the impact of performance asymmetry mainly a…
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
B. Salami, K. Parasyris, A. Cristal +42
The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…