Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Distributed simulation of polychronous and plastic spiking neural networks: strong and weak scaling of a representative mini-application benchmark executed on a small-scale commodity cluster., , , , , , , , , and . CoRR, (2013)Design and implementation of a modular, low latency, fault-aware, FPGA-based network interface., , , , , , , , , and . ReConFig, page 1-6. IEEE, (2013)ASIP acceleration for virtual-to-physical address translation on RDMA-enabled FPGA-based network interfaces., , , , , , , , , and 2 other author(s). Future Gener. Comput. Syst., (2015)A hierarchical watchdog mechanism for systemic fault awareness on distributed systems., , , , , , , , , and . Future Gener. Comput. Syst., (2015)Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach., , , , , , , , , and 46 other author(s). Microprocess. Microsystems, (November 2022)Architectural improvements and technological enhancements for the APEnet+ interconnect system., , , , , , , , , and 2 other author(s). CoRR, (2022)Dynamic many-process applications on many-tile embedded systems and HPC clusters: The EURETILE programming environment and execution platforms., , , , , , , , , and 11 other author(s). J. Syst. Archit., (2016)TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale., , , , , , , , , and 41 other author(s). DSD, page 286-294. IEEE, (2021)The Next Generation of Exascale-Class Systems: The ExaNeSt Project., , , , , , , , , and 8 other author(s). DSD, page 510-515. IEEE Computer Society, (2017)Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores., , , , , , , , , and . CoRR, (2015)