Archives News

Art Swift, President and CEO of Esperanto Technologies™, will deliver a keynote and also speak on a panel at COOL Chips 24.

• When: April 14 and 15 (Japan time.)
• Where: Virtual event, online.
• Agenda: COOL Chips www.coolchips.org/2021/advance-program/

Keynote: High-Efficiency Inferencing for Scalable Machine Learning

• Speaker: Art Swift (Esperanto Technologies)
• Abstract: The extraordinary market demand for large-scale machine learning solutions requires more than GPUs, FPGAs, or large multiplier arrays. These approaches deliver high performance, but at high costs: high power consumption, prohibitively complicated programming models, and unacceptable inflexibility. Esperanto Technologies CEO Art Swift will describe the architectural approach and design methodology for the company’s first supercomputer-on-chip solution for ML inferencing acceleration. The ET-SoC-1 combines the traditional flexibility and programmability of CPU cores with the high efficiency of autonomous tensor processing to deliver unmatched system-level efficiency and all-layer ML acceleration. Every element of Esperanto’s integrated solution represents best-in-class technology: the simplicity of the RISC-V instruction set, proprietary instruction-set extensions for machine learning, an on-chip mesh interconnect, a uniquely optimized memory hierarchy, state of the art process technology, and custom low-voltage circuits. In this way, Esperanto delivers more performance per watt than existing products without compromising flexibility.
• When: April 15, 2021 (Japan time)

Panel Discussion: “Hot” Techs for “Cool” AI Computing: Do We have Enough Tricks?

• Organizer and Moderator: Masato Motomura (Tokyo Tech)
• Panelists:
  Yusuke Doi (Preferred Networks, Japan)
  Avi Baum (Hailo, Israel)
  Art Swift (Esperanto Technologies, USA)
  Mitsuhisa Sato (Riken, Japan)
• Abstract: It is often mentioned that data is the new oil in the 21st century. Importantly, oil was able to drive industrial revolution only after the advent of combustion engine. By analogy, data can drive AI revolution only after the right silicon engines, i.e., cool chips. The panel will discuss hot topics regarding this important role that cool chips should fulfill for AI computing from various aspects.
• When: April 14, 2021 (Japan time)

About COOL Chips 24: See www.coolchips.org/2021/

MOUNTAIN VIEW, Calif., Dec. 1, 2020 – Esperanto Technologies™, developer of high-performance, energy-efficient computing solutions based on RISC-V for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications, will participate in the RISC-V Summit, December 8-10, 2020. Art Swift, CEO of Esperanto, will deliver the presentation: Esperanto Accelerates Machine Learning with 1000+ Low-Power RISC-V Cores on a Single Chip on Tuesday, December 8.

• What: RISC-V Summit.
• Where: Virtual event, online.
• When: December 8, 2020.
• Agenda: View the agenda here.
• Register here: https://riscv.informatech.com/2020/registrations/Attendee

Presentation: Esperanto Accelerates Machine Learning With 1000+ Low-Power RISC-V Cores on a Single Chip

• Esperanto Technologies has developed a ground-breaking accelerator chip for large-scale machine learning applications employing over 1000 RISC-V cores.
• In this talk, Esperanto provides an overview of the company’s new ET-SoC-1 chip, which features two kinds of general-purpose 64-bit RISC-V cores. The ET-Maxion, previewed at the RISC-V Summit in 2018, is a superscalar out-of-order core delivering high performance for modern operating systems and applications. The complementary ET-Minion core designed by Esperanto is a leaner, energy efficient, in-order multithreaded core with a vector/tensor accelerator unit at the heart of the massively parallel compute array.
• The chip’s performance and efficiency is derived from a combination of factors, including the simplicity of the RISC-V instruction set, wide vector/tensor units on every ET-Minion core, a uniquely optimized memory hierarchy, state of the art process technology, and custom pipeline architecture and low-voltage circuits which enables more energy-efficient operation. The result is that Esperanto will deliver better performance per watt than legacy CPU and GPU solutions, as well as competing fixed-function designs without compromising generally purpose flexibility.