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Luca Benini

Cette personne a quitté l’EPFL

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Publications associées (77)

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A High-throughput and Low-Latency Interconnection Network for Multi-Core Clusters with 3-D Stacked L2 Tightly-Coupled Data Memory

Giovanni De Micheli, Luca Benini

The performance of most digital systems today is limited by the interconnect latency between logic and memory, rather than by the performance of logic or memory itself. Three- dimensional (3-D) integration using through-silicon-vias (TSVs) may provide a so ...

2012

Full System Simulation of Many-Core Heterogeneous SoCs using GPU and QEMU Semihosting

David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav

Modern system-on-chips are evolving towards complex and heterogeneous platforms with general-purpose processors coupled with massively parallel manycore accelerator fabrics (e.g. embedded GPUs). Platform developers are looking for efficient full-system sim ...

2012

Joint co-clustering: Co-clustering of genomic and clinical bioimaging data

Giovanni De Micheli, Luca Benini

For better understanding the genetic mechanisms underlying clinical observations, and better defining a group of potential candidates for protein-family-inhibiting therapy, it is interesting to determine the correlations between genomic, clinical data and ...

Elsevier2008

Minimization of the reconfiguration latency for the mapping of applications on FPGA-based systems

David Atienza Alonso, Luca Benini, Srinivasan Murali

Field-Programmable Gate Arrays (FPGAs) have become promising mapping fabric for the implementation of System-on-Chip (SoC) platforms, due to their large capacity and their enhanced support for dynamic and partial reconfigurability. Design automation suppor ...

IEEE Press2009

Architectural Exploration of MPSoC Designs Based on an FPGA Emulation Framework

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Pablo Garcia del Valle

With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor System-On-Chip (MPSoC) architectures have become widespread. These new systems are very complex to design as they must execute multiple co ...

2006

A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing

David Atienza Alonso, Luca Benini, Giovanni Ansaloni, Ruben Braojos Lopez

In the last decade, improvements on technology scaling have enabled the design of a novel generation of wearable bio-sensing monitors. These smart Wireless Body Sensor Nodes (WBSNs) are able to acquire and process biological signals, such as electrocardiog ...

Institute of Electrical and Electronics Engineers2017

Circuits Design and Nano-Structured Electrodes for Drugs Monitoring in Personalized Therapy

Giovanni De Micheli, Sandro Carrara, Luca Benini, Andrea Cavallini, Jacopo Olivo

Drug development and personalized therapy require accurate and frequent monitoring of the metabolic response by living tissues to treatments. In case of high risk side effects, e.g. therapies with interfering anti-cancer molecule cocktails, direct monitori ...

IEEE2008

Thermal Balancing Policy for Multiprocessor Stream Computing Platforms

Giovanni De Micheli, David Atienza Alonso, Luca Benini

Die-temperature control to avoid hotspots is increasingly critical in Multiprocessor System-on-Chip (MPSoCs) for stream computing. In this context, thermal balancing policies based on task migration are a promising approach to re-distribute power dissipati ...

2009

NoC emulation: a tool and design flow for MPSoC

Nicolas Genko, Giovanni De Micheli, David Atienza Alonso, Luca Benini

Current Systems-On-Chip (SoC) execute applications that demand extensive parallel processing; thus, the amount of processors, memories and application-specific signal pro- cessing cores is rapidly increasing. In these new Multi- Processor SoCs, (MPSoCs) on ...

2007

Peak Shift Measurement of Localized Surface Plasmon Resonance by a Portable Electronic System

Luca Benini, Carlotta Guiducci, Enrico Accastelli, Giulia Cappi

In recent years, the characterization of surface molecular layers by localized surface plasmon resonance (LSPR) has attracted a lot of interest thanks to its ability to provide a higher spatial resolution with respect to standard SPR. LSPR can be observed ...

Elsevier2013

Physically clustered Forward Body Biasing for variability compensation in nanometer CMOS design

Giovanni De Micheli, Luca Benini

Nanometer CMOS scaling has resulted in greatly increased circuit variability, with extremely adverse consequences on design predictability and yield. A number of recent works have focused on adaptive post-fabrication tuning approaches to mitigate this prob ...

2009

Physically clustered forward body biasing for variability compensation in nanometer CMOS design

Giovanni De Micheli, Luca Benini

2009

Methods for Designing Reliable Probe Arrays

Giovanni De Micheli, Luca Benini, Abhishek Garg

Recent advances in biosensing technologies have led to applications of biosensor probe arrays for rapid identification of biological agents such as drugs, gene expressions, proteins, cholesterol and fats in an input sample. However, monitoring the simultan ...

IEEE2010

Timing-Error-Tolerant Network-on-Chip Design Methodology

Giovanni De Micheli, Luca Benini, Srinivasan Murali, Federico Angiolini

With technology scaling, the wire delay as a fraction of the total delay is increasing, and the communication architecture is becoming a major bottleneck for system performance in systems on chip (SoCs). A communication-centric design paradigm, networks on ...

2007

Network-On-Chip Design and Synthesis Outlook

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Srinivasan Murali, Federico Angiolini

With the growing complexity in consumer embedded products, new tendencies forecast heterogeneous Multi-Processor Systems-On-Chip (MPSoCs) consisting of complex integrated components communicating with each other at very high-speed rates. Intercommunication ...

2008

Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing

David Atienza Alonso, Andreas Peter Burg, Luca Benini, Ahmed Yasir Dogan

This study presents a single-core and a multi-core processor architecture for health monitoring systems where slow biosignal events and highly parallel computations exist. The single-core architecture is composed of a processing core (PC), an instruction m ...

Springer-Verlag Heidelberg2011

An Application-Specific Design Methodology for On-chip Crossbar Generation

Giovanni De Micheli, Luca Benini, Srinivasan Murali

Designing a power-efficient interconnection architec- ture for MultiProcessor Systems-on-Chips (MPSoCs) satisfying the application performance constraints is a nontrivial task. In order to meet the tight time-to-market constraints and to effec- tively hand ...

Institute of Electrical and Electronics Engineers2007

Scalable instruction set simulator for thousand-core architectures running on GPGPUs

David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav

Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms are not able to tackle the complexity issues introduced by 1000-core future sc ...

IEEE Press2010

Approximate Compressed Sensing: Ultra-Low Power Biosignal Processing via Aggressive Voltage Scaling on a Hybrid Memory Multi-core Processor

David Atienza Alonso, Pierre Vandergheynst, Luca Benini, Hossein Mamaghanian

Technology scaling enables the design of low cost biosignal processing chips suited for emerging wireless body-area sensing applications. Energy consumption severely limits such applications and memories are becoming the energy bottleneck to achieve ultra- ...

IEEE/ACM Press2014

Application of FPGA Emulation to SoC Floorplan and Packaging Exploration

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Pablo Garcia del Valle

New tendencies in the consumer electronics market present Multi-Processor Systems-On-Chip (MPSoCs) as a promising solution for meeting the processing demands of upcoming generations of user applications. MPSoCs are complex to design, as they must execute m ...

2007