With compute demands growing to meet the insatiable appetite of AI applications, the 2024 cohort of HiPEAC Technology Transfer Award winners show how the HiPEAC community is transforming the latest research into solutions fit for the most intense computing requirements. From an advanced framework that enhances large language models’ reasoning, to dynamic compilation, to scalable network and memory solutions, the winning technologies will help power the next generation of high-performance AI applications. Other winning tools help users identify the best hardware fit for their AI model, program with real-time requirements, undertake pan-genomic analysis, and power avatars for sign language.
This year, all award winners will be recognized during a ceremony at the HiPEAC conference, which takes place in Barcelona in January. First-time award winners also receive a cash prize of €1,000.
‘The influence of AI and machine learning is unmistakeable in these winning projects,’ says HiPEAC coordinator Koen De Bosschere (Ghent University). ‘It’s clear that the European research community is tackling the AI challenge head-on with powerful solutions for industrial and societal challenges.’
The HiPEAC Technology Transfer Awards were launched in 2012 with the aim of encouraging members to transform their research outputs into industry-ready results. To date, 95 awards have been granted.
This year’s eight award-winning candidates are as follows:
- Graph of Thoughts: Solving elaborate problems with large language models – Maciej Besta, ETH Zürich, Switzerland, Germany
- Roofline AI – Jan Moritz Joseph, Roofline GmbH, Germany
- GenoGra: Pangenomic analysis platform – Marco Santambrogio, Politecnico di Milano, Italy
- FAiNDER: FAiND the best hardware for your Al application – Petar Radojković, Barcelona Supercomputing Center, Spain
- Interconnection network and memory subsystem IPs for high-performance, scalable SoC solutions – Madhavan Manivannan, InfiniNode Technologies AB, Sweden
- LinguaFranca: A language to bring intelligent systems to life – Jeronimo Castrillon and Christian Menard, TU Dresden, Germany
- BlueSign: Translating Italian Sign Language into avatar signs – Roberto Giorgi University of Siena, Italy
- From DaCe to Daisytuner: Performance optimization as a service – Lukas Trümper Daisytuner, Switzerland
More details here: bit.ly/HiPEACTechTransfer24-winners
