Publications by Laura Pozzi | EPFL Graph Search

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Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing acceleration relies on the quality of mapping: how efficiently the CIL is c ...

Customisable embedded processors that are available on the market make it possible for designers to speed up execution of applications by using Application-specific Functional Units (AFUs), implementing Instruction-Set Extensions (ISEs). Furthermore, techn ...

In the Internet-of-Things (IoT) era, there is an increasing trend to enable intelligent behavior in edge computing sensors. Thus, a new generation of smart wearable devices for health monitoring is being developed, able to perform complex Digital Signal Pr ...

Smart edge sensors for bio-signal monitoring must support complex signal processing routines within an extremely small energy envelope. Coarse-Grained Reconfigurable Arrays (CGRAs) are good candidates for tackling these conflicting objectives because, than ...

Event detection and classification algorithms are resilient towards aggressive resource-aware optimisations. In this paper, we leverage this characteristic in the context of smart health monitoring systems. In more detail, we study the attainable benefits ...

This paper explores the resistance of MOS Current Mode Logic (MCML) against attacks based on the observation of the power consumption. Circuits implemented in MCML, in fact, have unique characteristics both in terms of power consumption and the dependency ...

Laura Pozzi

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SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs

A microprocessor having at least one application specific functional unit and method to design same

Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications

i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-signal Processing

Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors

A Simulation-Based Methodology for Evaluating the DPA-Resistance of Cryptographic Functional Units with Application to CMOS and MCML Technologies

Exact and Approximate Algorithms for the Extension of Embedded Processor Instruction Sets

Seamless Hardware-Software Integration in Reconfigurable Computing Systems

Evaluating Resistance of MCML Technology to Power Analysis Attacks Using a Simulation-Based Methodology