In-Datacenter Performance Analysis of a Tensor Processing Unit

Autor: Jouppi, Norman P., Young, Cliff, Patil, Nishant, Patterson, David, Agrawal, Gaurav, Bajwa, Raminder, Bates, Sarah, Bhatia, Suresh, Boden, Nan, Borchers, Al, Boyle, Rick, Cantin, Pierre-luc, Chao, Clifford, Clark, Chris, Coriell, Jeremy, Daley, Mike, Dau, Matt, Dean, Jeffrey, Gelb, Ben, Ghaemmaghami, Tara Vazir, Gottipati, Rajendra, Gulland, William, Hagmann, Robert, Ho, C. Richard, Hogberg, Doug, Hu, John, Hundt, Robert, Hurt, Dan, Ibarz, Julian, Jaffey, Aaron, Jaworski, Alek, Kaplan, Alexander, Khaitan, Harshit, Koch, Andy, Kumar, Naveen, Lacy, Steve, Laudon, James, Law, James, Le, Diemthu, Leary, Chris, Liu, Zhuyuan, Lucke, Kyle, Lundin, Alan, MacKean, Gordon, Maggiore, Adriana, Mahony, Maire, Miller, Kieran, Nagarajan, Rahul, Narayanaswami, Ravi, Ni, Ray, Nix, Kathy, Norrie, Thomas, Omernick, Mark, Penukonda, Narayana, Phelps, Andy, Ross, Jonathan, Ross, Matt, Salek, Amir, Samadiani, Emad, Severn, Chris, Sizikov, Gregory, Snelham, Matthew, Souter, Jed, Steinberg, Dan, Swing, Andy, Tan, Mercedes, Thorson, Gregory, Tian, Bo, Toma, Horia, Tuttle, Erick, Vasudevan, Vijay, Walter, Richard, Wang, Walter, Wilcox, Eric, Yoon, Doe Hyun

Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC---called a Tensor Processing Unit (TPU)---deployed in datacenters since 2015 that accelerates t

Externí odkaz: http://arxiv.org/abs/1704.04760