Fabrizio Magugliani from E4 held a presentation titled “HPE & E4: Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial Workflows.”

Bernd Mohr from FZ Juelich held a presentation titled “The European Roadmap Towards HPC – From the Scientific (JSC) Perspective.”

Fabrizio Magugliani from E4 held a presentation titled “High Performance Computing Continuum: The Italian Industry in the European Processor Initiative and Pilots.”

EPI was present at Europa Village, a virtual Teratec Forum exhibition this year. Fabrizio Magugliani from E4 presented the latest in EPI news at the European Research Session.


EPI’s Benedetta Mazzoni from UNIBO, Daniele Cesarini from CINECA, and Fabrizio Magugliani from E4 held a Science Day session with the topic HW/SW co-design for Energy Efficiency and Performance: Charting the Path towards Exascale Computing.

EPI team participated in several activities in Digital HiPEAC 2021 conference: EPI Tutorial, Industrial session, and WRC workshop.

The materials are all zipped here, and a link to YT recording of the Tutorial is available.

The Open Edge and HPC Initiative organized the CODES@OEHI #2 Virtual Hackathon for developers interested in porting applications to Arm-based systems with or without the acceleration provided by GPU (Nvidia Tesla V100-PCIe), and/or in improving the performances of an already ported application. The long-term objective for the hackathon is getting developers accustomed with the Arm ecosystem (HW and SW) in the perspective of the availability of the EPI first-generation microprocessor, for which the roadmap has been presented.

“EPI Talks” is a string of podcasts where members of the European Processor Initiative present their contributions to the development of the European low-power microprocessor. The string of podcasts will cover the different aspects of the development of the microprocessor, to name a few:

for building a leading-edge but sustainable computing infrastructure. During the podcasts, the technological decisions taken, the achievements so far, and the expected impact of the project will be presented.

The European Processor Initiative hopes that you will enjoy the podcasts and we welcome proposals for future presentations.

The first episode of “EPI talks” focuses on the PCIe daughter board hosting the Test Chip, the EPAC and the GPP. We welcome E4 Computer Engineering’s Agnese Reina, Communication Manager and Fabrizio Magugliani, Project Manager.

The transcript to it is available for download in pdf.

EPI team members participated in several sessions at the HiPEAC conference in Bologna, Italy, held from January 20-22, 2020.

In addition to having a booth as a HiPEAC sponsor, EPI was presented at the industrial session, in two other workshops (WRC and Eurolab4HPC session) and in EPI’s own tutorial session, where EPI presenters gave talks on Accelerators, Compiler and Software Development, EPI’s Power Aspect and PCIe Daughter.

Fabrizio Magugliani (E4 Computer Engineering) presented at the event “ IBM AI Bologna – Anomaly detection in Finance & AutoAI” focused on the interesting field of AI implementations for detecting anomalies in data series applied mainly to the financial market. EPI was mentioned as an opportunity to perform the compute-intensive phase of the detection of the anomalies.

Fabrizio Magugliani from E4 attended IDCS2019: the 12th International Conference on Internet and Distributed Computing Systems, delivering the E4 presentation. The speakers listed in the rich agenda detailed how the rapidly evolving technology for Distributed Computing Systems enables using more computation and ‘intelligence’ at the Edge, and how to maximize the effectiveness of different architectures and components. While these components are ideal for analyzing data at the Edge, more elaborate analysis demands the use of more powerful systems. Having the same Instruction set at the Edge (running Arm devices) as well as in the centralized computing facility is definitely a value, making the EPI processor ideal for seamless integration of the data streams with the EPI-powered centralized facility.

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