26 citations · 34 across the 5 of their papers we have counts for
5 papers
MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning
Mathys Jam, Eric Petit, Pablo de Oliveira Castro +3
Many High-Performance Computing (HPC) libraries rely on decision trees to select the best kernel hyperparameters at runtime,depending on the input and environment. However, finding…
Custom-Precision Mathematical Library Explorations for Code Profiling and Optimization
David Defour, Pablo de Oliveira Castro, Matei Istoan +1
The typical processors used for scientific computing have fixed-width data-paths. This implies that mathematical libraries were specifically developed to target each of these fixed…
Using Graphics Processors for Parallelizing Hash-based Data Carving
Sylvain Collange, Yoginder Dandass, Marc Daumas +1
The ability to detect fragments of deleted image files and to reconstruct these image files from all available fragments on disk is a key activity in the field of digital forensics…
Graphic processors to speed-up simulations for the design of high performance solar receptors
Sylvain Collange, Marc Daumas, David Defour
Graphics Processing Units (GPUs) are now powerful and flexible systems adapted and used for other purposes than graphics calculations (General Purpose computation on GPU -- GPGPU).…
Implementation of float-float operators on graphics hardware
Guillaume Da Graçca, David Defour
The Graphic Processing Unit (GPU) has evolved into a powerful and flexible processor. The latest graphic processors provide fully programmable vertex and pixel processing units tha…