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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
Publikováno v:
Pediatric Upper Extremity; 2015, p1069-1094, 26p
Autor:
Stuhler, Oscar
Publikováno v:
Sociological Methods & Research; Nov2022, Vol. 51 Issue 4, p1580-1633, 54p
Publikováno v:
Pediatric Upper Extremity; 2015, pi-xxxi, 31p
Autor:
Fiona R. Cameron
This book critiques modern museologies and curatorial practices that have been complicit in emerging existential crises. It confidently presents novel, more-than-human curatorial visions, methods, frameworks, policies, and museologies radically refig
Autor:
Kristin Peterson, Valerie Olson
The Ethnographer's Way guides researchers through the exciting process of turning an initial idea into an in-depth research project. Kristin Peterson and Valerie Olson introduce “multidimensioning,” a method for planning projects that invites sch
Autor:
Joshua Comaroff, Ong Ker-Shing
A new edition of this extensive visual analysis of horror tropes and their architectural analogues Horror in Architecture presents an unflinching look at how horror genre tropes manifest in the built environment. Spanning the realms of art, design, l
Autor:
Cass R. Sunstein
Fame is like lightning. Taylor Swift, Bob Dylan, Leonardo da Vinci, Jane Austen, Oprah Winfrey—all of them were struck. Why? What if they hadn't been?Consider the most famous music group in history. What would the world be like if the Beatles never
Autor:
Howie Singer, Bill Rosenblatt
Tells a new story about the history of the music business and the ten technological advances that disrupted it over the last century. In recent years, narratives about the music industry tend to hew to a common theme: it was humming along for decades
Autor:
Fiona R. Cameron
The Future of Digital Data, Heritage and Curation critiques digital cultural heritage concepts and their application to data, developing new theories, curatorial practices and a more-than-human museology for a contemporary and future world. Presentin