Year: 2021
Type: article
Abstract: The rapidly growing compute demands of AI necessitate the creation of new computing architectures and approaches. Tenstorrent designed its architecture (embodied in Grayskull and Wormhole devices) to tackle this challenge via two fundamental and synergistic approaches. The first is via compute-on-packets fabric that is built from ground up for massive scaleout. The second is the ability to execute dynamic computation, built into the compiler, runtime software and hardware architecture. By combining these approaches, TensTorrent will enable continued scaling of AI workloads.
Source: IEEE Micro
Authors: Jasmina Vasiljevic, Ljubisa Bajic, Davor Capalija, Stanislav Sokorac, Dragoljub Ignjatovic, Lejla Bajic, Milos Trajkovic, Ivan Hamer, Ivan Matosevic, Aleksandar Cejkov, Utku Aydonat, Tony Zhou, Syed Zohaib Gilani, Armond Paiva, Joseph Chu, Djordje Maksimovic, Stephen Alexander Chin, Zahi Moudallal, Akhmed Rakhmati, Sean Nijjar, Almeet Bhullar, Boris Drazic, Charles Lee, James Sun, Kei-Ming Kwong, James Connolly, Miles Dooley, Hassan Farooq, Joy Yu Ting Chen, Matthew Walker, Keivan Dabiri, Kyle Mabee, Rakesh Shaji Lal, Namal Rajatheva, Renjith Retnamma, Shripad Karodi, Daniel Rosen, Emilio Munoz, Andrew Lewycky, Aleksandar Knezevic, Raymond Kim, Allan Rui, Alexander Drouillard, David Thompson
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,995
OpenAlex ID: W3135242540