About Me
I am Nicolas Weber, researcher in the Intelligent Software Systems Group at the NEC Laboratories Europe. Before, I was Ph.D. student at the Graphics, Capture and Massively Parallel Computing Group at TU Darmstadt. My Ph.D. topic was on automated performance optimizations for GPU array access. In my research I mainly focus on performance optimizations for GPU based applications in the High Performance Computing (HPC) and Artificial Intelligence (AI) applications.
Curriculum Vitae
Publications
Posters
Talks
Technical Programm Commitee
Reviewer
Projects
SOL - Transparent Acceleration of Neural Networks.
Detail-Preserving Pooling in Deep Networks - Alternative pooling layer for deep neural networks based on DPID.
MATOG - Array access performance auto-tuner for CUDA.
Detail Preserving Image Downscaling - Alternative perceptual inspired image downscaling algorithm.
FDGMalloc - Fast dynamic memory allocator for CUDA.
Fujitsu FX16 CAN Library - CAN network protocol library for Fujitsu FX16 microcontroller.