Paper-Conference

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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A framework for Compiler Level statistical analysis over customized VLIW architecture
Very Long Instruction Word (VLIW) application specific processors represent an attractive solution for embedded computing, offering …
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