Tang, Tianqi, Li, Sheng, Nai, Lifeng, Jouppi, Norm, and Xie, Yuan. NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. Retrieved from https://par.nsf.gov/biblio/10309813. 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) . Web. doi:10.1109/HPCA51647.2021.00075.

Tang, Tianqi, Li, Sheng, Nai, Lifeng, Jouppi, Norm, & Xie, Yuan. NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), (). Retrieved from https://par.nsf.gov/biblio/10309813. https://doi.org/10.1109/HPCA51647.2021.00075

Tang, Tianqi, Li, Sheng, Nai, Lifeng, Jouppi, Norm, and Xie, Yuan. "NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper". 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) (). Country unknown/Code not available. https://doi.org/10.1109/HPCA51647.2021.00075. https://par.nsf.gov/biblio/10309813.

@article{osti_10309813,
place = {Country unknown/Code not available}, title = {NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper}, url = {https://par.nsf.gov/biblio/10309813}, DOI = {10.1109/HPCA51647.2021.00075}, abstractNote = {}, journal = {2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)}, author = {Tang, Tianqi and Li, Sheng and Nai, Lifeng and Jouppi, Norm and Xie, Yuan}, }