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PERACTON LIMITED

PERACTON

How PERACTON LIMITED appears in the EU Horizon funding graph: the research projects it has won money for, the consortia it joined, the EuroSciVoc topics it works in, and the organisations it co-funds projects with.

1 Horizon project, EUR 411k total EC contribution, last active 2025.

Organisation

Country
IE (IE042)
Organisation type
SME
VAT number
IE9778987A
CORDIS match
high confidence

Horizon projects

EU Horizon research projects PERACTON LIMITED participated in, with its role and the EC contribution recorded for this organisation. Figures cover EU Horizon grants only, not total EU spend.

Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe (Graph-Massivizer)

Partner

Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. It delivers a toolkit of five open-source software tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as massive graphs. The tools focus on holistic usability (from extreme data ingestion and massive graph creation), automated intelligence (through analytics and reasoning), performance modelling, and environmental sustainability tradeoffs, supported by credible data-driven evidence across the computing continuum. The automated operation based on the emerging serverless computing paradigm supports experienced and novice stakeholders from a broad group of large and small organisations to capitalise on extreme data through massive graph programming and processing. Graph Massivizer validates its innovation on four complementary use cases considering their extreme data properties and coverage of the three sustainability pillars (economy, society, and environment): sustainable green finance, global environment protection foresight, green AI for the sustainable automotive industry, and data centre digital twin for exascale computing. Graph Massivizer promises 70% more efficient analytics than AliGraph, and 30% improved energy awareness for ETL storage operations than Amazon Redshift. Furthermore, it aims to demonstrate a possible two-fold improvement in data centre energy efficiency and over 25% lower GHG emissions for basic graph operations. Graph-Massivizer gathers an interdisciplinary group of twelve partners from eight countries, covering four academic universities, two applied research centres, one HPC centre, two SMEs and two large enterprises. It leverages the world-leading roles of European researchers in graph processing and serverless computing and uses leadership-class European infrastructure in the computing continuum.

EC contribution:
EUR 411k
Start:
2023-01-01
End:
2025-12-31
Status:
SIGNED
Scheme:
HORIZON-RIA
Call:
HORIZON-CL4-2022-DATA-01
softwareclimatic change mitigationautomotive engineeringsupercomputersdata processing

View on CORDIS (DOI 10.3030/101093202)

Co-funding partners

Organisations that PERACTON LIMITED has shared one or more EU Horizon projects with, ranked by the number of shared projects. These partners are based outside Ireland.

SINTEF AS
1 shared project
EVENT REGISTRY SPREMLJANJE GLOBALNIH MEDIJEV D.O.O.
1 shared project
METAPHACTS GMBH
1 shared project
IDC ITALIA SRL
1 shared project
STICHTING VU
1 shared project
IDC RESEARCH ESPANA SL
1 shared project
UNIVERSITAET KLAGENFURT
1 shared project
CINECA CONSORZIO INTERUNIVERSITARIO
1 shared project
UNIVERSITEIT TWENTE
1 shared project
ROBERT BOSCH GMBH
1 shared project
INSTITUT JOZEF STEFAN
1 shared project
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
1 shared project

Research topics

automotive engineeringclimatic change mitigationdata processingsoftwaresupercomputers

About this data

This profile is built from the European Commission CORDIS open dataset of EU Horizon research projects, covering the digital and AI research vertical. It records EU Horizon grant participation only and does not represent an organisation's total EU funding. Verify figures against the official record before relying on them.

Source: CORDIS (CC-BY-4.0), snapshot 2026-09-04.cordis.europa.eu

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