Paper-Conference

An Accurate Simulation Framework for Thermal Explorations and Optimizations
While technology scaling allows to integrate more cores in the same chip, the complexity of current designs requires accurate and fast …
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ANTAREX - AutoTuning and adaptivity approach for energy efficient eXascale HPC systems
The main goal of the ANTAREX project is to express by a Domain Specific Language (DSL) the application self-adaptivity and to runtime …
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Application autotuning to support runtime adaptivity in multicore architectures
In this work, we introduce an application autotuning framework to dynamically adapt applications in multicore architectures. In …
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A Bayesian network approach for compiler auto-tuning for embedded processors
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A Control-Inspired Iterative Algorithm for Memory Management in NUMA Multicores
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A Multiple Equivalent Execution Trace Approach to Secure Cryptographic Embedded Software
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Evaluating orthogonality between application auto-tuning and run-time resource management for adaptive OpenCL applications
The ever increasing number of processing units integrated on the same many-core chip delivers computational power that can exceed the …
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A bird's eye view on reinforcement learning approaches for power management in WSNs
This paper presents a survey on the adoption of Reinforcement Learning (RL) approaches for power management in Wireless Sensor …
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A cycle accurate simulation framework for asynchronous NoC design
Abstract— Network-on-Chip (NoC) represents a flexible and scalable interconnection candidate for current and future multi- cores. In …
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A Formal Model for Optimal Autonomous Task Hibernation in Constrained Embedded Systems
This paper proposes and studies an autonomous hibernation technique and optimal hibernation policies aimed at minimizing the power …
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