Luca Sterpone

Bio: Luca Sterpone is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Fault injection & Field-programmable gate array. The author has an hindex of 24, co-authored 222 publications receiving 3125 citations. Previous affiliations of Luca Sterpone include Instituto Politécnico Nacional.

A new analytical approach to estimate the effects of SEUs in TMR architectures implemented through SRAM-based FPGAs

Abstract: In order to deploy successfully commercially-off-the-shelf SRAM-based FPGA devices in safety- or mission-critical applications, designers need to adopt suitable hardening techniques, as well as methods for validating the correctness of the obtained designs, as far as the system's dependability is concerned. In this paper we describe a new analytical approach to estimate the dependability of TMR designs implemented on SRAM-based FPGAs that, by exploiting a detailed knowledge of FPGAs architectures and configuration memory, is able to predict the effects of single event upsets with the same accuracy of fault injection but at a fraction of the fault-injection's execution time.

A New Hardware/Software Platform and a New 1/E Neutron Source for Soft Error Studies: Testing FPGAs at the ISIS Facility

Abstract: We introduce a new hardware/software platform for testing SRAM-based FPGAs under heavy-ion and neutron beams, capable of tracing the bit-flips in the configuration memory back to the physical resources affected in the FPGA. The validation was performed using, for the first time, the neutron source at the RAL-ISIS facility. The ISIS beam features a 1/E spectrum, which is similar to the terrestrial one with an acceleration between 107 and 108 in the energy range 10-100 MeV. The results gathered on Xilinx SRAM-based FPGAs are discussed in terms of cross section and circuit-level modifications.

Using Benchmarks for Radiation Testing of Microprocessors and FPGAs

Abstract: Performance benchmarks have been used over the years to compare different systems. These benchmarks can be useful for researchers trying to determine how changes to the technology, architecture, or compiler affect the system's performance. No such standard exists for systems deployed into high radiation environments, making it difficult to assess whether changes in the fabrication process, circuitry, architecture, or software affect reliability or radiation sensitivity. In this paper, we propose a benchmark suite for high-reliability systems that is designed for field-programmable gate arrays and microprocessors. We describe the development process and report neutron test data for the hardware and software benchmarks.

On the evaluation of SEU sensitiveness in SRAM-based FPGAs

Abstract: The growing adoption of SRAM-based field programmable gate arrays (FPGAs) in safety-critical applications demands for efficient methodologies for evaluating their reliability. Single event upsets (SEUs) affecting the configuration memory of SRAM-based FPGAs are a major concern, since they can permanently affect the function implemented by the device. We exploited a fault-injection environment developed at our institution to analyze the impact of such faults on SRAM-based FPGAs when fault tolerant design techniques are adopted. The experimental results allow quantitative evaluations of the effects of these faults, and show that the sensitivity of the TMR design technique mainly depends on the characteristics of the adopted TMR architecture in terms of placing and routing.

Simulation-based analysis of SEU effects in SRAM-based FPGAs

Abstract: SRAM-based field programmable gate arrays (FPGAs) are particularly sensitive to single event upsets (SEUs) that, by changing the FPGA's configuration memory, may affect dramatically the functions implemented by the device. In This work we describe a new approach for predicting SEU effects in circuits mapped on SRAM-based FPGAs that combines radiation testing with simulation. The former is used to characterize (in terms of device cross section) the technology on which the FPGA device is based, no matter which circuit it implements. The latter is used to predict the probability for a SEU to alter the expect behavior of a given circuit. By combining the two figures, we then compute the cross section of the circuit mapped on the pre-characterized device. Experimental results are presented that compare the approach we developed with a traditional one based on radiation testing only, to measure the cross section of a circuit mapped on an FPGA. The figures here reported confirm the accuracy of our approach.

Biological properties of extracellular vesicles and their physiological functions

Abstract: In the past decade, extracellular vesicles (EVs) have been recognized as potent vehicles of intercellular communication, both in prokaryotes and eukaryotes. This is due to their capacity to transfer proteins, lipids and nucleic acids, thereby influencing various physiological and pathological functions of both recipient and parent cells. While intensive investigation has targeted the role of EVs in different pathological processes, for example, in cancer and autoimmune diseases, the EV-mediated maintenance of homeostasis and the regulation of physiological functions have remained less explored. Here, we provide a comprehensive overview of the current understanding of the physiological roles of EVs, which has been written by crowd-sourcing, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia. This review is intended to be of relevance to both researchers already working on EV biology and to newcomers who will encounter this universal cell biological system. Therefore, here we address the molecular contents and functions of EVs in various tissues and body fluids from cell systems to organs. We also review the physiological mechanisms of EVs in bacteria, lower eukaryotes and plants to highlight the functional uniformity of this emerging communication system.

Extracellular vesicles: biology and emerging therapeutic opportunities

Abstract: Within the past decade, extracellular vesicles have emerged as important mediators of intercellular communication, being involved in the transmission of biological signals between cells in both prokaryotes and higher eukaryotes to regulate a diverse range of biological processes. In addition, pathophysiological roles for extracellular vesicles are beginning to be recognized in diseases including cancer, infectious diseases and neurodegenerative disorders, highlighting potential novel targets for therapeutic intervention. Moreover, both unmodified and engineered extracellular vesicles are likely to have applications in macromolecular drug delivery. Here, we review recent progress in understanding extracellular vesicle biology and the role of extracellular vesicles in disease, discuss emerging therapeutic opportunities and consider the associated challenges.

Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAs.

Abstract: The shear-responsive transcription factor Kruppel-like factor 2 (KLF2) is a critical regulator of endothelial gene expression patterns induced by atheroprotective flow. As microRNAs (miRNAs) post-transcriptionally control gene expression in many pathogenic and physiological processes, we investigated the regulation of miRNAs by KLF2 in endothelial cells. KLF2 binds to the promoter and induces a significant upregulation of the miR-143/145 cluster. Interestingly, miR-143/145 has been shown to control smooth muscle cell (SMC) phenotypes; therefore, we investigated the possibility of transport of these miRNAs between endothelial cells and SMCs. Indeed, extracellular vesicles secreted by KLF2-transduced or shear-stress-stimulated HUVECs are enriched in miR-143/145 and control target gene expression in co-cultured SMCs. Extracellular vesicles derived from KLF2-expressing endothelial cells also reduced atherosclerotic lesion formation in the aorta of ApoE(-/-) mice. Combined, our results show that atheroprotective stimuli induce communication between endothelial cells and SMCs through an miRNA- and extracellular-vesicle-mediated mechanism and that this may comprise a promising strategy to combat atherosclerosis.