HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness

no code implementations • 31 May 2022 • Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning

From these results, a validity-driven initialization method for AutoTVM is developed, only requiring 41. 6% of the necessary hardware measurements to find the best solution, while improving search robustness.

Joint Program and Layout Transformations to enable Convolutional Operators on Specialized Hardware based on Constraint Programming

no code implementations • 10 Apr 2021 • Dennis Rieber, Axel Acosta, Holger Fröning

First solutions to this problem have been proposed, such as TVM, UNIT or ISAMIR, which work on a loop-level representation of operators and specify data layout and possible program transformations before the embedding into the operator is performed.