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Related publications (33)
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
David Atienza Alonso, Marina Zapater Sancho, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Irem Boybat Kara, Yasir Mahmood Qureshi, Joshua Alexander Harrison Klein, Abu Sebastian
Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these applications’ run-time. ...
2022Modelling of AC/DC Interactions of Converter-Interfaced Resources for Harmonic Power-Flow Studies in Microgrids
Mario Paolone, Yihui Zuo, Andreas Martin Kettner, Johanna Kristin Maria Becker
Modern power distribution systems experience a large-scale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). As acknowledged by recent literature, the interaction of individual CIDER components and different CIDERs through the grid ...
2022Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications
Voice communication is the main channel to exchange information between pilots and Air-Traffic Controllers (ATCos). Recently, several projects have explored the employment of speech recognition technology to automatically extract spoken key information suc ...
MDPI2021An IGCT Gate Unit for Zero-Voltage-Switching Resonant DC Transformer Applications
Recently, IGCTs have shown a great potential for the soft-switching dc transformer applications based on LLC resonant converter. The zero-voltage switching that is present in this converter topology enables an operation of IGCTs without clamping circuit an ...
2021A comprehensive study of the rate-distortion performance in MPEG point cloud compression
Touradj Ebrahimi, Evangelos Alexiou, Irene Viola
Recent trends in multimedia technologies indicate the need for richer imaging modalities to increase user engagement with the content. Among other alternatives, point clouds denote a viable solution that offers an immersive content representation, as witne ...
2019Low-Overhead Dynamic Instruction Mix Generation using Hybrid Basic Block Profiling
Willy Zwaenepoel, Andrzej Pawel Nowak
Dynamic instruction mixes form an important part of the toolkits of performance tuners, compiler writers, and CPU architects. Instruction mixes are traditionally generated using software instrumentation, an accurate yet slow method, that is normally limite ...
2018The DTT device: Power and particle exhaust
The possible scenarios at full power of the DTT (Divertor Test Tokamak) device with the standard single null (SN) and X divertor (XD) configurations have been analysed for the aspect of safely handling the power to be exhausted on the divertor targets. In ...
Elsevier Science Sa2017H2B2VS (HEVC Hybrid Broadcast Broadband Video Services) – building innovative solutions over hybrid networks
Broadcast and broadband networks continue to be separate worlds in the video consumption business. Some initiatives such as HbbTV have built a bridge between both worlds, but its application is almost limited to providing links over the broadcast channel t ...
2015Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship
Fast query and transaction processing is the goal of 40 years of database research and the reason of existence for many new database system architectures. In data management, system performance means acceptable response time and throughput on critical-path ...
2015Automated Design Flow for Multi-Functional Dataflow-Based Platforms
Marco Mattavelli, Simone Casale Brunet, Endri Bezati
The implementation of processing platforms supporting multiple applications by runtime reconfigurations on dedicated hardware modules requires the solution of different problems. These problems are notably not-trivial since both platform and application co ...
Springer Verlag2015