QuickFeather

by QuickLogic

A 100% open source dev board for the EOS S3 low-power MCU with embedded FPGA

View all updates Jul 24, 2020

Open Toolchain Release & New Intro Video

by Brian F

A new version of the SymbiFlow-based QuickLogic FPGA open toolchain has been released. We also have a new introductory video for the EOS S3 chip.

Open Toolchain

Version 1.1.0 of our SymbiFlow-based QuickLogic FPGA toolchain comes with the following major enhancements:

  • Improved clock network utilization
  • PostLayout timing simulation using SDF
  • Average 2X improvement in tools run time
  • Average 8% improvement in Critical path delay

While open source FPGA tools are not new, no programmable logic company has actively supported an open source approach… until now. By embracing open source tools and an open source hardware development kit, QuickLogic is doing its part to foster innovation.

We believe this initiative represents a tipping point in the industry. For more details on how programmable logic vendors can have a positive impact on the open source community and how this approach has the potential to dramatically increase the adoption of programmable logic, check out our recent article, The Tipping Point.

Introduction to the EOS S3 Chip

About the Author

Brian F

brianfaith  ·   San Jose, CA


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Product Choices

$59

QuickFeather

One totally open source QuickFeather board with a QuickLogic coaster and sticker, to boot.


$99

QuickFeather + SensiML AI Bundle

One totally open source QuickFeather board with a full, lifetime license to SensiML Starter Edition. You'll get a QuickLogic coaster and sticker, too.


$10

USB-to-TTL Serial Cable

This Adafruit-branded adapter provides the simplest way to program, debug, or otherwise communicate serially with QuickFeather boards.


$6

QuickLogic EOS S3 Chip

The same system-on-chip used at the core of QuickFeather. Includes one single chip, package BGA-64. Part number: EOS3FLF512-PDN64

Credits

QuickLogic

We are a fabless semiconductor company that develops low-power, multi-core MCU, FPGAs, and embedded FPGA intellectual property (IP), voice and sensor processing.


Brian Faith

Mao Wang

Andrea Vedanayagam

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