activity
20192022
most citedERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes

15 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PF2022

Shisha: Online scheduling of CNN pipelines on heterogeneous architectures

Pirah Noor Soomro, Mustafa Abduljabbar, Jeronimo Castrillon +1

Chiplets have become a common methodology in modern chip design. Chiplets improve yield and enable heterogeneity at the level of cores, memory subsystem and the interconnect. Convo…

cs.DC2022★ 15 cited

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…

cs.DC2021

Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)

Mustafa Abduljabbar, Mahmoud Eljammaly, Miquel Pericas

Efficient runtime task scheduling on complex memory hierarchy becomes increasingly important as modern and future High-Performance Computing (HPC) systems are progressively compose…

cs.DC2020

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…

cs.DC2019★ 2 cited

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…