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I am currently involved in the following projects and activities:
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General Chair: MPLR 2020
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Steering Committee: MPLR
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PC: MultiProg 2016, 2017, 2018, 2019, 2020 | VMIL 2017, 2018 | XstremeCloud 2018 | Matchbox 2019, CROW 2020, ISMM 2020 | CF 2021,2022 | Cloud2Things 2021, 2022 | ISPASS 2022, 2023, Co-Chair: VMIL 2022
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Guest editor EURASIP Journal on Wireless Communications and Networking
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Member of the BDVA PPP Technical Committee
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Member of the Heterogeneity Alliance (E2Data)
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Individual Member of the RISC-V J Working Group
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Current Projects
(PI, Technical Coordinator, EU Horizon Europe 101092850/UKRI)​
AERO aims to upbring and optimize an open-source software ecosystem that encompasses a wide range of software components ranging from operating systems to compilers, runtimes, system software and auxiliary software deployment services for cloud computing.
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(PI, EU Horizon Europe 101070052/UKRI)
The TANGO project will develop a solution for secure, trustworthy, and environmentally sustainable data management.
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(PI, EU Horizon Europe 101093069/UKRI)
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(PI, EU Horizon Europe 101070670/UKRI)
ENCRYPT will develop a scalable, practical, adaptable privacy preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR compliant way.
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Bridging oneAPI to managed programming languages
(PI, Technical Coordinator, Intel Research Council)​
In this project we provide interoperability between oneAPI and TornadoVM and
high performance optimizations for the Intel platform.
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(PI, Technical Coordinator, EU Horizon 2020, 957286)​
The ELEGANT project aims to develop a novel software solution that addresses key challenges facing IoT and Big Data: interoperability, reliability, safety and security. Some of the key innovations of the proposed framework are lightweight virtualisation, automatic code extraction compatible with IoT and Big Data frameworks, intelligent orchestration, dynamic code motion and advanced code verification and cybersecurity mechanisms.​
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Beehive aims to provide a state-of-the-art hw/sw co-designed stack that will enable
researchers​ to perform vertical research (from the application code down to the
hardware; real or simulated).
We target a variety of programming languages, runtimes and architectures.
Please checkout Beehive's github pages for further information about the individual components here.
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Past projects
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(PI, Technical Coordinator, EPSRC/Optrak Ltd.)​
In this project we research transparent hardware acceleration of vehicle routing algorithms.
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(PI, Technical Coordinator, EU Horizon 2020, 780245)​
In this project we will research and develop end-to-end solutions for dynamic and automatic​
exploitation of heterogeneous hardware on cloud-deployed Big Data stacks.
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(Co-I, EU Horizon 2020, 732366)​
In this project we aim to develop hyperscale JVMs on top of aggregated cloud resources.​ We plan to extend memory allocation and GC algorithms in NUMA settings able to handle TBs of memory.​
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PAMELA: A Panoramic View of the ManyCore Landscape In this project we focus on low-power heterogeneous execution of JVMs. We mainly target demanding portable Computer Vision applications implemented in Java and other programming languages. Heterogeneous execution (GPUs, FPGAs, etc.), hw/sw co-designed optimizations, scheduling, etc., on ARM and x86 architectures are explored.
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