Animesh Trivedi receives NWO KLEIN-1 grant
In machine learning, large models are associated with more accuracy and intelligence. Building and training of large models processes large amounts of data in CPU-attached and accelerator on-board DRAM memories, which are not scalable, energy-inefficient, and extremely expensive, thus putting large model training out of reach for many users. They propose to leverage Non-Volatile Memory (NVM) storage technology to design a Machine-learning-from-Storage model training paradigm, where data is dynamically moved between NVM storage and DRAM memories on-demand, thus unleashing a new class of previously-unavailable cost- and energy-efficiency for all.
CWI researcher Peter Boncz has been appointed as one of the 2022 fellows of the Association of Computing Machinery (ACM).
The ADS Thesis Award winners for 2022 are Philipp Sommerhalter and Sarah Kwakkelaar in the BSc category and Krijn Doekemeijer and Julia Sudnik for the MSc category. The winners were announced at the ADS Highlights Event on the 8th of December 2022!
A symposium entitled ‘From Systems and Networks to Complex Cyber Infrastructures’ took place on 9th December 2022 in honor of Cees de Laat (UvA IvI) and Leon Gommans (UvA IvI).