Reduced Energy Microsystems Joins FDXcelerator Program to Bring RISC-V IP to GLOBALFOUNDRIES’ 22FDX® Technology Process


Reduced Energy Microsystems (REM) announced today that it has joined GLOBALFOUNDRIES’ FDXcelerator™ Partner Program, and will be making RISC-V CPU IP available for GF’s 22FDX® process. Based around the open source RISC-V ISA, REM’s IP will offer a low-power core to be integrated into future SoCs to be used across a range of verticals.

“GF’s technology and support have made them a terrific partner, and we look forward to making RISC-V IP available to GF customers,” said REM CEO William Koven. “We have benefitted greatly from both the 22FDX and RISC-V ecosystems and we believe we can push both forward with this offering. The market is ready for a new architecture that is not beholden to any one company, and we are excited to play a role in bringing about this paradigm shift.”

“As members of the RISC-V Foundation, we are excited to see more RISC-V IP offerings made available on our processes,” said Alain Mutricy, senior vice president of Product Management at GF. “REM’s agility and low-power design expertise make them an ideal partner for the FDXcelerator program, and we believe our customers will greatly benefit from this offering.”

GF’s FDXcelerator Program brings together select partners to integrate their products or services into validated, plug-and-play design solutions, giving customers access to a broad set of quality offerings specific to 22FDX technology. The program’s open framework enables members to minimize development time and cost while simultaneously leveraging the inherent power and performance advantages of FDX technology.

About Reduced Energy Microsystems

Reduced Energy Microsystems is combining hardware and software to bring real intelligence to everyday devices. REM’s proprietary circuit, architecture, and software technologies enable a quantum leap in local AI performance and energy-efficiency while providing a full vision platform. The company is headquartered in San Francisco, CA and backed by industry-leading investors including Y Combinator and Draper Associates. To learn more, please visit


GLOBALFOUNDRIES is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GLOBALFOUNDRIES makes possible the technologies and systems that transform industries and give customers the power to shape their markets. GLOBALFOUNDRIES is owned by Mubadala Investment Company. For more information, visit

Reduced Energy Microsystems Joins RISC-V Foundation

SAN FRANCISCO (PRWEB) NOVEMBER 28, 2017. Reduced Energy Microsystems (REM), a semiconductor startup working on ultra-low power SoCs for embedded vision, announced today that it has joined the RISC-V Foundation, a non-profit corporation controlled by its members to drive the adoption and implementation of the open, free RISC-V instruction set architecture (ISA) forward.

“The RISC-V CPU architecture has enabled us to move quickly and freely,” said REM Head of Software Eleazar Vega-Gonzalez. “The open-source nature of RISC-V made it an attractive architecture to us from day one, and the tremendous work in the hardware and software ecosystem has made it truly ready for production. We’re excited to use RISC-V CPUs in our products and contribute back to this amazing community.”

“We are excited to see innovative startups join the RISC-V Foundation and help push forward our ecosystem,” said Rick O’Connor, executive director of the non-profit RISC-V Foundation. “Bringing RISC-V to lower power budgets and new applications is fundamental to growing the reach of RISC-V, and we are excited by REM’s technologies and roadmap to do just this.”

About Reduced Energy Microsystems

Reduced Energy Microsystems is combining hardware and software to bring real intelligence to everyday devices. REM’s proprietary circuit, architecture, and software technologies enable a quantum leap in local AI performance and energy-efficiency while providing a full vision platform. The company is headquartered in San Francisco, CA and backed by industry-leading investors including Y Combinator and Draper Associates. To learn more, please visit

REM Receives NSF SBIR Phase I Grant

We are proud to announce that REM recently received an SBIR Phase I Grant from the National Science Foundation for “An Automated Design Flow to Build Energy Efficient Vision Processing and Machine Learning Chips for the Internet of Things”. This grant will go towards the continued development of our own internal CAD tooling for our proprietary resilient, asynchronous technology. Our existing tools have enabled us to move extremely quickly, tape-out our first chip, and drastically increase both performance and power-efficiency. We take this grant as one more vote of confidence in our technology and look forward to bringing it to market.

Our Favorite Talks of ASYNC 2017

Over the past few days the entire REM team made the trek down to San Diego for ASYNC 2017. Most of us had previously visited this conference, but this was the first time that the entire team was able to visit. We got a chance to share some of our story and research with the community as well as catch up on the latest developments from other labs around the world. After such an exciting conference, we wanted to take a moment to share our thoughts on some of our favorite presentations!


Sharp – A Resilient Asynchronous Template

Our very own Hardware Engineer Max Waugaman presented the Sharp resilient asynchronous template that he co-developed at REM in 2016. Sharp builds upon Michigan’s Razor and USC’s Blade to offer an asynchronous, resilient protocol that is free of metastability and offers higher throughput than previous efforts. As a direct descendant of Blade, Sharp’s major improvement is increasing the speculation window to accelerate throughput when operations end sooner. We expect to publish more about our technology and Sharp here, but for us this presentation embodies a few things we deeply believe in:

  1. The modularity of asynchronous design allows for quick, encapsulated improvements that impact the entire system
  2. Real, “hard tech” innovation and research can happen at startups on the way to product, and faster than it can happen in big companies or academia

We’re very proud of this work and the response it received, and look forward to sharing further progress at future technical conferences.


Interleaved Architectures for High-Throughput Synthesizable Synchronization FIFOs

Ameer Abdelhadi and Mark Greenstreet from the University of British Columbia received the best paper award for their paper Interleaved Architectures for High-Throughput Synthesizable Synchronization FIFOs [PDF]. They presented a high-performance synchronization FIFO, which can be used to move data between asynchronous clock domains. Not only did the authors thoroughly compare their own design with other relevant designs, they also pointed out a common glitch hazard that many FIFO designs fall victim to, and explained how they avoided it.

Maybe best of all, the authors open-sourced their FIFO design, testbench, and RTL-to-GDSII code and put it on Github with a permissive license. This synchronization FIFO can serve as a benchmark, starting place, or complete solution for engineers in need of a high-quality synchronization FIFO. The open source movement in software has enabled tremendous advances and collaboration, and we’re excited to see this trend to continue to gather momentum in hardware, and especially happy to see great asynchronous designs become available to engineers.


Digital Delay Lines

Alberto Moreno presented a paper on Synthesis of All-Digital Delay Lines from Jordi Cortadella’s group at Universitat Politècnica de Catalunya in Barcelona. Delay lines are an essential element in bundled data design. For designs that operate across many design corners, the delay in a delay line must scale its performance at the same rate as the datapath the delay line is matched against. Moreno and Cortadellla’s work addresses this problem by using a mix of gates from the same libraries used to synthesize the datapath. They developed an algorithm to test and measure the performance of the delay line compared to the datapath and a set of heuristics to select the delay line. Their algorithm crucially includes wire estimation and selection to match against wire limited paths as well as gate limited paths. The results from their work look compelling, and we’re very excited to experiment with their algorithm and see if we can improve our delay lines!


Startup Panel

One of the most exciting events of ASYNC 2017 was the Startup Panel hosted by Dr. David M. Harris. Andrew Lines (Fulcrum Microsystems), David Ditzel (Transmeta, Esperanto Technologies), and William Koven (REM) had a chance to share their founder stories and talk about the struggles of a startup, what it takes to build a semiconductor company, and how to best commercialize novel technology. While the conversation was off the record we can say that founder stories are always interesting (Tuesday dinners were one of the highlights of our YC experience) and we hope to see more semiconductor startups bring interesting new technologies to market.


Overall it was very refreshing to learn about other async research, present our tech and story, and catch some San Diego sun. See you in Vienna for ASYNC 2018!

Hello World

Hello, world, we’re Reduced Energy Microsystems!

We’re building the most power-efficient computer vision SoC and neural network accelerator (NNA) for embedded devices. We’re doing this by combining our asynchronous resilient design technology and custom NNA architecture. In non-technical terms: we’re working on chips to make your devices last longer and be smarter.

Over the coming weeks and months we will be sharing more information about our chip and technology. We’ve made tremendous progress and cannot wait to share it here! On top of covering our own progress and announcements this blog will cover a range of topics including asynchronous VLSI, neural networks, and market trends. If that sounds up your alley click here to subscribe now!

REM Featured in Chris Rowen’s “The Vision AI Startups That Matter Most”

The Vision AI Start-ups that Matter MostChris Rowen PhD FIEEE, founder of Tensilica, and CEO of Cognite Ventures spoke at the Embedded Vision Alliance yesterday about “The Vision AI Startups That Matter Most”, and featured Reduced Energy Microsystems. Chris shared his perspective on the development of Vision AI startups, and the market need for new solutions to bring advanced neural networks to embedded devices. We share Chris’ enthusiasm for this sector and look forward to helping build the embedded AI ecosystem.