About
Lasse Natvig is a Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU), specializing in computer architecture and high-performance computing systems.
His research focuses on vector processing optimizations (including AVX-512 extensions), energy-efficient many-core processor design, and simulation frameworks for micromobility planning. Key contributions include vectorized algorithms for compressed datasets, data reuse transformations, and performance analysis of hardware accelerators like Xeon Phi.
Recent publications demonstrate consistent innovation in leveraging vectorization for performance and energy gains across domains—from molecular dynamics to urban transportation simulation—with strong emphasis on rigorous experimental validation and open-source tool development.
He actively collaborates on projects including the current "Climbing Mont Blanc (CMB)" initiative and completed efforts like "ParVec" and "Energy Efficient Multi-core Processors (EEMP)", reflecting sustained engagement in funded research on advanced computing techniques.
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