Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Diril, Utku"'
Autor:
Ke, Liu, Gupta, Udit, Wu, Carole-Jean, Cho, Benjamin Youngjae, Hempstead, Mark, Reagen, Brandon, Zhang, Xuan, Brooks, David, Chandra, Vikas, Diril, Utku, Firoozshahian, Amin, Hazelwood, Kim, Jia, Bill, Lee, Hsien-Hsin S., Li, Meng, Maher, Bert, Mudigere, Dheevatsa, Naumov, Maxim, Schatz, Martin, Smelyanskiy, Mikhail, Wang, Xiaodong
Personalized recommendation systems leverage deep learning models and account for the majority of data center AI cycles. Their performance is dominated by memory-bound sparse embedding operations with unique irregular memory access patterns that pose
Externí odkaz:
http://arxiv.org/abs/1912.12953
Autor:
Park, Jongsoo, Naumov, Maxim, Basu, Protonu, Deng, Summer, Kalaiah, Aravind, Khudia, Daya, Law, James, Malani, Parth, Malevich, Andrey, Nadathur, Satish, Pino, Juan, Schatz, Martin, Sidorov, Alexander, Sivakumar, Viswanath, Tulloch, Andrew, Wang, Xiaodong, Wu, Yiming, Yuen, Hector, Diril, Utku, Dzhulgakov, Dmytro, Hazelwood, Kim, Jia, Bill, Jia, Yangqing, Qiao, Lin, Rao, Vijay, Rotem, Nadav, Yoo, Sungjoo, Smelyanskiy, Mikhail
The application of deep learning techniques resulted in remarkable improvement of machine learning models. In this paper provides detailed characterizations of deep learning models used in many Facebook social network services. We present computation
Externí odkaz:
http://arxiv.org/abs/1811.09886
Autor:
Naumov, Maxim, Diril, Utku, Park, Jongsoo, Ray, Benjamin, Jablonski, Jedrzej, Tulloch, Andrew
Deep learning models have been successfully used in computer vision and many other fields. We propose an unorthodox algorithm for performing quantization of the model parameters. In contrast with popular quantization schemes based on thresholds, we u
Externí odkaz:
http://arxiv.org/abs/1811.09862