2019
DOI: 10.1016/j.sysarc.2019.01.006
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Hierarchical adaptive Multi-objective resource management for many-core systems

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Cited by 13 publications
(14 citation statements)
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References 32 publications
(63 reference statements)
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“…We compare our three thermal management strategies with a patterning mapping, and with a Multi-Objective Resource Management (MORM) approach [7]. Recent works on DTM use the patterning approach [12,13] in a known applications' set, without the support of remapping by migrating tasks.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We compare our three thermal management strategies with a patterning mapping, and with a Multi-Objective Resource Management (MORM) approach [7]. Recent works on DTM use the patterning approach [12,13] in a known applications' set, without the support of remapping by migrating tasks.…”
Section: Resultsmentioning
confidence: 99%
“…For example, the management can frequently set PEs as active or dark at different moments to control the system power consumption under a power budget or below a critical temperature [6]. Recent proposals assume the system itself manages the adaptation, to increase its performance while keeping it within the physical limits of operation [7].…”
Section: Introductionmentioning
confidence: 99%
“…Starting first with those that do not, there are a number of works on application-level runtimes that target either homogeneous or single-ISA heterogeneous platforms (such as Arm big.LITTLE architectures). This category includes works such as SPARTA [16], SOSA [15], SEAMS [31], and the work of Martins et al [14]. While each of these works explores highly interesting avenues in the area of application runtime design in their own right (such as the control theory-based approaches leveraged by SOSA [15] and SEAMS [31]), here, we prioritize discussion of works that address runtimes for multi-ISA or accelerator-rich architectures.…”
Section: Related Workmentioning
confidence: 99%
“…The proposed MPSoC model can estimate the energy required by a task. The average energy consumption of every processor instruction was previously characterized using the method described by Martins [2]. We compared four different application setups to determine the best configuration, considering energy consumption and response time for the task set.…”
Section: A Extended Kalman Filter (Ekf)mentioning
confidence: 99%
“…The goal of the proposed environment is to integrate multiple simulators in a unique setup that covers physics, hardware, and software simulation of robots and vehicles. The environment will enable the evaluation of non-functional requirements such as energy/power consumption [2], and response time for robotics applications. Validation of the proposed environment is performed with an unmanned aerial vehicle (UAV) application in a quadrotor.…”
Section: Introductionmentioning
confidence: 99%