ECOOP 2026
Mon 29 June - Fri 3 July 2026 Brussels, Belgium
Tue 30 Jun 2026 09:00 - 10:30 at I.2.02 - Opening & Keynote

Roel Wuyts, keynote speaker for MPLR, is a principal scientist at IMEC and part-time professor in the DTAI group at KU Leuven. His main research interest currently lies in the runtime management layer for future high-performance computing hardware. Before that, he did research on adaptive runtime resource management of CPUs and GPUs, on toolchains for embedded devices (see, for example, the CleanC tool), in programming language composition (resulting in contributions such as the traits model), and in logic metaprogramming. In his keynote, he will reflect on his research, discuss a programming model for distributed systems, and explore its repercussions on hardware.

Tue 30 Jun

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

09:00 - 10:30
Opening & KeynoteMPLR at I.2.02

Roel Wuyts, keynote speaker for MPLR, is a principal scientist at IMEC and part-time professor in the DTAI group at KU Leuven. His main research interest currently lies in the runtime management layer for future high-performance computing hardware. Before that, he did research on adaptive runtime resource management of CPUs and GPUs, on toolchains for embedded devices (see, for example, the CleanC tool), in programming language composition (resulting in contributions such as the traits model), and in logic metaprogramming. In his keynote, he will reflect on his research, discuss a programming model for distributed systems, and explore its repercussions on hardware.

09:00
90m
Keynote
A Programming Model for Distributed Systems and Its Hardware Implications
MPLR
Roel Wuyts University of Leuven

Information for Participants
Tue 30 Jun 2026 09:00 - 10:30 at I.2.02 - Opening & Keynote
Info for session

Roel Wuyts, keynote speaker for MPLR, is a principal scientist at IMEC and part-time professor in the DTAI group at KU Leuven. His main research interest currently lies in the runtime management layer for future high-performance computing hardware. Before that, he did research on adaptive runtime resource management of CPUs and GPUs, on toolchains for embedded devices (see, for example, the CleanC tool), in programming language composition (resulting in contributions such as the traits model), and in logic metaprogramming. In his keynote, he will reflect on his research, discuss a programming model for distributed systems, and explore its repercussions on hardware.