Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Rotem, Nadav"'
Autor:
Rotem, Nadav, Cummins, Chris
Profile guided optimization is an effective technique for improving the optimization ability of compilers based on dynamic behavior, but collecting profile data is expensive, cumbersome, and requires regular updating to remain fresh. We present a nov
Externí odkaz:
http://arxiv.org/abs/2112.14679
Autor:
Anderson, Michael, Chen, Benny, Chen, Stephen, Deng, Summer, Fix, Jordan, Gschwind, Michael, Kalaiah, Aravind, Kim, Changkyu, Lee, Jaewon, Liang, Jason, Liu, Haixin, Lu, Yinghai, Montgomery, Jack, Moorthy, Arun, Nadathur, Satish, Naghshineh, Sam, Nayak, Avinash, Park, Jongsoo, Petersen, Chris, Schatz, Martin, Sundaram, Narayanan, Tang, Bangsheng, Tang, Peter, Yang, Amy, Yu, Jiecao, Yuen, Hector, Zhang, Ying, Anbudurai, Aravind, Balan, Vandana, Bojja, Harsha, Boyd, Joe, Breitbach, Matthew, Caldato, Claudio, Calvo, Anna, Catron, Garret, Chandwani, Sneh, Christeas, Panos, Cottel, Brad, Coutinho, Brian, Dalli, Arun, Dhanotia, Abhishek, Duncan, Oniel, Dzhabarov, Roman, Elmir, Simon, Fu, Chunli, Fu, Wenyin, Fulthorp, Michael, Gangidi, Adi, Gibson, Nick, Gordon, Sean, Hernandez, Beatriz Padilla, Ho, Daniel, Huang, Yu-Cheng, Johansson, Olof, Juluri, Shishir, Kanaujia, Shobhit, Kesarkar, Manali, Killinger, Jonathan, Kim, Ben, Kulkarni, Rohan, Lele, Meghan, Li, Huayu, Li, Huamin, Li, Yueming, Liu, Cynthia, Liu, Jerry, Maher, Bert, Mallipedi, Chandra, Mangla, Seema, Matam, Kiran Kumar, Mehta, Jubin, Mehta, Shobhit, Mitchell, Christopher, Muthiah, Bharath, Nagarkatte, Nitin, Narasimha, Ashwin, Nguyen, Bernard, Ortiz, Thiara, Padmanabha, Soumya, Pan, Deng, Poojary, Ashwin, Ye, Qi, Raginel, Olivier, Rajagopal, Dwarak, Rice, Tristan, Ross, Craig, Rotem, Nadav, Russ, Scott, Shah, Kushal, Shan, Baohua, Shen, Hao, Shetty, Pavan, Skandakumaran, Krish, Srinivasan, Kutta, Sumbaly, Roshan, Tauberg, Michael, Tzur, Mor, Verma, Sidharth, Wang, Hao, Wang, Man, Wei, Ben, Xia, Alex, Xu, Chenyu, Yang, Martin, Zhang, Kai, Zhang, Ruoxi, Zhao, Ming, Zhao, Whitney, Zhu, Rui, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Misha, Jia, Bill, Rao, Vijay
In this paper, we provide a deep dive into the deployment of inference accelerators at Facebook. Many of our ML workloads have unique characteristics, such as sparse memory accesses, large model sizes, as well as high compute, memory and network band
Externí odkaz:
http://arxiv.org/abs/2107.04140
This paper presents Warrior1, a tool that detects performance anti-patterns in C++ libraries. Many programs are slowed down by many small inefficiencies. Large-scale C++ applications are large, complex, and developed by large groups of engineers over
Externí odkaz:
http://arxiv.org/abs/2010.09583
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:
Rotem, Nadav, Fix, Jordan, Abdulrasool, Saleem, Catron, Garret, Deng, Summer, Dzhabarov, Roman, Gibson, Nick, Hegeman, James, Lele, Meghan, Levenstein, Roman, Montgomery, Jack, Maher, Bert, Nadathur, Satish, Olesen, Jakob, Park, Jongsoo, Rakhov, Artem, Smelyanskiy, Misha, Wang, Man
This paper presents the design of Glow, a machine learning compiler for heterogeneous hardware. It is a pragmatic approach to compilation that enables the generation of highly optimized code for multiple targets. Glow lowers the traditional neural ne
Externí odkaz:
http://arxiv.org/abs/1805.00907
Publikováno v:
In Journal of Systems Architecture 2010 56(9):474-486
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