activity
20192023
most citedERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes

15 citations · 23 across the 15 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

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…

cs.AR2019

Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints

Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas +1

An effective way to improve energy efficiency is to throttle hardware resources to meet a certain performance target, specified as a QoS constraint, associated with all application…

cs.AR2019

Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems

Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas +1

Reducing the energy expended to carry out a computational task is important. In this work, we explore the prospects of meeting Quality-of-Service requirements of tasks on a multi-c…

cs.DC2019

An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity

Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar +1

With the emergence of heterogeneous hardware paving the way for the post-Moore era, it is of high importance to adapt the runtime scheduling to the platform's heterogeneity. To enh…

cs.DC2019★ 2 cited

High performance scheduling of mixed-mode DAGs on heterogeneous multicores

Agnes Rohlin, Henrik Fahlgren, Miquel Pericas

Many HPC applications can be expressed as mixed-mode computations, in which each node of a computational DAG is itself a parallel computation that can be molded at runtime to alloc…