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cs.DC2021
Joint Program and Layout Transformations to enable Convolutional Operators on Specialized Hardware based on Constraint Programming
Dennis Rieber, Axel Acosta, Holger Fröning
The success of Deep Artificial Neural Networks (DNNs) in many domains created a rich body of research concerned with hardware accelerators for compute-intensive DNN operators. Howe…
cs.DC2020
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
Lorenz Braun, Sotirios Nikas, Chen Song +2
Characterizing compute kernel execution behavior on GPUs for efficient task scheduling is a non-trivial task. We address this with a simple model enabling portable and fast predict…