This dataset is intended for research purposes only and to support and contribute to the graph research community. The quality of the configuration space design and the collected execution times may be suboptimal and should not be considered as reference performances of the target device but rather as representative of the problem at hand for research purposes.

Data License Agreement - Research Use

@article{tomczak2019simulating, title={{Simulating Execution Time of Tensor Programs using Graph Neural Networks}}, author={Tomczak, Jakub M and Lepert, Romain and Wiggers, Auke}, journal={arXiv preprint arXiv:1904.11876}, year={2019} }
  

While this dataset was primarily created to facilitate the development of super-resolution algorithms for gaming applications; however, we believe that it could be useful for other tasks, such as optical flow estimation.

At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.

Qualcomm AI Research continues to invest in and support deep-learning research in computer vision. The publication of the Qualcomm Rasterized Images for Super-resolution Processing dataset for use by the AI research community is one of our many initiatives.

Find out more about Qualcomm AI Research.

For any questions or technical support, please contact us at [email protected]

Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.