October 20-21, 2021

Hyatt Regency Hotel, Santa Clara, CA

Darren Jones, Vice President of VLSI Engineering, Esperanto Technologies

See https://www.linleygroup.com/

Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architectur

Accelerating ML Workloads with Energy-efficient High Performance RISC-V Processors

Esperanto Technologies has developed the first of a family of accelerator chips for large scale machine learning inference applications. Esperanto’s approach uses over 1000 general-purpose RISC-V cores, each equipped with a vector/tensor unit optimized for common machine learning algorithms and data types. Esperanto’s chip is highly energy-efficient, fully programmable, and adaptable as algorithms change. By leveraging the simplicity of the RISC-V instruction set and carefully designing with low-power techniques, Esperanto’s chip preserves many benefits of general-purpose programming while simultaneously delivering excellent performance and energy efficiency.

Admission is free to qualified registrants. The conference is intended for chip designers, system designers, equipment vendors, OEM/ODMs, service providers, press, and the financial community. Esperanto is a Gold sponsor of the Linley Fall Processor Conference.