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Ivan Beretta

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  20
Citations -  297

Ivan Beretta is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Wireless sensor network & Control reconfiguration. The author has an hindex of 11, co-authored 20 publications receiving 286 citations. Previous affiliations of Ivan Beretta include École Normale Supérieure & Imperial College London.

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Journal ArticleDOI

A Mapping Flow for Dynamically Reconfigurable Multi-Core System-on-Chip Design

TL;DR: A design flow to efficiently map multiple multi-core applications on a dynamically reconfigurable SoC is presented and is actually able to extract similarities among the applications, as it achieves an average improvement in terms of reconfiguration latency with respect to a communication-oriented approach.
Proceedings ArticleDOI

A high-level synthesis flow for the implementation of iterative stencil loop algorithms on FPGA devices

TL;DR: An automatic design flow to extract parallelism from an ISL algorithm is introduced and a design space exploration is performed to identify its best FPGA hardware implementation, in terms of both area and throughput.
Proceedings ArticleDOI

B²IRS: A Technique to Reduce BAN-BAN Interferences in Wireless Sensor Networks

TL;DR: A BAN-BAN Interference Reduction System (B2IRS) which reschedules beacon packets in order to avoid active period overlap, reducing the interferences between distinct BANs is introduced.
Proceedings ArticleDOI

Hardware/software approach for code synchronization in low-power multi-core sensor nodes

TL;DR: This work proposes a hardware/software approach to synchronize the execution of bio-signal processing applications in multi-core WBSNs, providing the necessary flexibility to execute applications with an arbitrarily large degree of complexity and parallelism, enabling considerable reductions in power consumption for all multi- core WBSN execution conditions.
Journal ArticleDOI

A Mapping-Scheduling Algorithm for Hardware Acceleration on Reconfigurable Platforms

TL;DR: This article proposes a novel task representation model, named Temporal Constrained Data Flow Diagram (TCDFD), which aims at minimizing the dynamic reconfiguration overhead while meeting the communication requirements among the tasks and presents a mapping-scheduling algorithm that is able to take advantage of the new TCDFD model.