METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system
Along with the growth of computing requirements, edge devices, such as satellites and
unmanned aerial vehicles, are equipped with heterogeneous multiprocessor systems to …
unmanned aerial vehicles, are equipped with heterogeneous multiprocessor systems to …
A Survey on Dynamic Application Mapping Approaches for Real-Time Network-on-Chip-Based Platforms
Network-on-Chip (NoC) has been unfolded as a superior alternative for integrating a
considerably greater extent of cores on a single chip. Recently, multi-core systems have …
considerably greater extent of cores on a single chip. Recently, multi-core systems have …
Dynamic energy and thermal management of multi-core mobile platforms: A survey
Editor's notes: Multicore mobile processors have proliferated due to their efficiency in
meeting the stringent performance requirement within a limited power budget. However …
meeting the stringent performance requirement within a limited power budget. However …
Dynamic voltage and frequency scaling and duty-cycling for ultra low-power wireless sensor nodes
Energy efficiency presents a significant challenge to the reliability of Internet of Things (IoT)
services. Wireless Sensor Networks (WSNs) present as an elementary technology of IoT …
services. Wireless Sensor Networks (WSNs) present as an elementary technology of IoT …
DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing
Data variety is one of the most important features of Big Data. Data variety is the result of
aggregating data from multiple sources and uneven distribution of data. This feature of Big …
aggregating data from multiple sources and uneven distribution of data. This feature of Big …
Power-aware runtime scheduler for mixed-criticality systems on multicore platform
In modern multicore mixed-criticality (MC) systems, a rise in peak power consumption due to
parallel execution of tasks with maximum frequency, specially in the overload situation, may …
parallel execution of tasks with maximum frequency, specially in the overload situation, may …
QUAREM: maximising QoE through adaptive resource management in mobile MPSoC platforms
Heterogeneous multi-processor system-on-chip (MPSoC) smartphones are required to offer
increasing performance and user quality-of-experience (QoE), despite comparatively slow …
increasing performance and user quality-of-experience (QoE), despite comparatively slow …
A learning-based methodology for scenario-aware mapping of soft real-time applications onto heterogeneous mpsocs
Soft real-time streaming applications often process input data that evoke varying workloads
for their tasks. This may lead to high energy consumption or deadline misses in case their …
for their tasks. This may lead to high energy consumption or deadline misses in case their …
Concurrent application bias scheduling for energy efficiency of heterogeneous multi-core platforms
Minimizing energy consumption of concurrent applications on heterogeneous multi-core
platforms is challenging given the diversity in energy-performance profiles of both the …
platforms is challenging given the diversity in energy-performance profiles of both the …
High performance and power efficient accelerator for cloud inference
J Yao, H Zhou, Y Zhang, Y Li, C Feng… - … Symposium on High …, 2023 - ieeexplore.ieee.org
Facing the growing complexity of Deep Neural Networks (DNNs), high-performance and
power-efficient AI accelerators are desired to provide effective and affordable cloud …
power-efficient AI accelerators are desired to provide effective and affordable cloud …