Tenstorrent: Relegating the Important Stuff to the Compiler

Presented by Ljubisa Bajic, CEO and Lead Architect, and Stan Skokrac, VP Software, Tenstorrent

The machine learning field is red hot, and numerous teams have been striving to discover and implement the ideal computer architecture for neural network computations. The breadth of exploration has been impressive, and several new ideas have produced working silicon. While everybody knows that hardware is hard, the software component of the complete solution has emerged as an even greater challenge. Producing performant graph compilers has, in particular, proven elusive. This presentation describes our holistic approach to hardware/software architecture.

The Linley Fall Processor Conference featured technical presentations addressing processors and IP cores for AI applications, embedded, data center, automotive, and communications. Session topic included AI in Edge Devices, Vector-Processing Cores, Advancing Cloud AI, The New Infrastructure Edge, Heterogenous Computing, SoC Design, In-Memory Compute, and Security.