RISC-V Startup Aims to Democratize Custom Silicon

By Tiffany Trader

July 13, 2016

Momentum for open source hardware made a significant advance this week with the launch of startup SiFive and its open source chip platforms based on the RISC-V instruction set architecture. The founders of the fabless semiconductor company — Krste Asanovic, Andrew Waterman, and Yunsup Lee — invented the free and open RISC-V ISA at the University of California, Berkeley, six years ago.

The progression of RISC-V and the launch of SiFive opens the door to a new way of chip building that skirts prohibitive licensing costs and lowers the barrier to entry for custom chip design. The traction around RISC-V and other open source hardware efforts like the Facebook-initiated Open Compute Project, and to some extent even the growing diversity in the processor space, which reflects a demand for more openness and choice, may indicate the beginnings of a revolution similar to the one started by Linux on the software side.

Jack Kang, vice president of product and business development, addressed the significance of an open instruction set architecture and this trend toward open hardware.

“The economic demise of Moore’s law can no longer be disputed,” he shared. “The cost per transistor is no longer decreasing. The fixed cost to start a new design continues to rise. Due to these factors, we have seen incredible change in the semiconductor industry. The industry has been set up for the past 30, 40 years based on Moore’s law. How they engineer chips, what products they build, how they work with customers, all of that is based on 30+ years of legacy. Last year, we saw over $100B in mergers & acquisition activity in the semiconductor space, due to these factors and the requirement to look for larger and larger customer volume sockets.”

SiFive slide July 2016

Designing a custom chip can cost tens and even hundreds of millions of dollars, said SiFive Co-founder Yunsup Lee in an official statement. “It is simply impossible for smaller system designers to get a modern, high-performance chip, much less one customized to their unique requirements.”

SiFive sees custom silicon as an opportunity for the markets that are not being adequately served by the traditional semiconductors. The founders want to democratize access to custom silicon beyond the big players to the inventors, makers, startups, and smallest companies. Included here are fragmented or new markets that do not have the volume or revenue required under the conventional proprietary semiconductor approach, Kang said.

Target markets for SiFive span machine learning, storage and networking as well as the fast-growing IoT market with the launch of two platforms:

SiFive Freedom U500 graphic
Freedom U500 platform

The Freedom U500 Series — part of the Freedom Unleashed family — includes a Linux-capable embedded application processor with multicore RISC-V CPUs, running at a speed of 1.6 GHz or higher with support for accelerators and cache coherency. This SoC was manufactured by TSMC on 28nm process and targets the machine learning, storage and networking space. The U500 supports PCIe 3.0, USB 3.0, Gigabit Ethernet, and DDR3/DDR4.

The Freedom E300 Series, the first product in the Freedom Everywhere family, is aimed at the embedded microcontroller, IoT and wearables markets. The 180nm TSMC chip implements small and efficient RISC-V cores with RISC-V compressed instructions, shown to reduce code size by up to 30 percent, according to the company.

In-depth guides for both platforms are available here.

Kang said that he and his colleagues have been witnessing the benefits of the growth of the RISC-V ecosystem. To this point, RISC-V Foundation has more than doubled membership since January. At the last RISC-V workshop in January, there were only 16 member companies, reports Kang, and that roster now includes 40 member companies, including heavyweights Google, Microsoft, IBM, NVIDIA, HP Enterprise, AMD, Qualcomm, Western Digital and Oracle.

SiFive timed its launch to coincide with the 4th RISC-V workshop, happening this week in Boston, where the founders demoed both platforms.

While SiFive is focusing on the embedded and industrial space, the opportunity exists to use RISC-V for other purposes, including server-class silicon. The ISA’s designers sought to ensure that it would support implementation in an ASIC, FPGA or full-custom architecture. Earlier this year at the Stanford HPC Conference, MIT’s Kurt Keville said that RISC-V addresses several of the exascale challenges that were included in the DOE’s oft-cited Exascale report. RISC-V also works well as a teaching tool in academia, said Keville, having a fraction of the instructions of x86 (177 versus roughly 3,000) and about fifth that of ARMv8 (with about 1,000 instructions).

There is even a chapter in the RISC-V ISA manual covering a variant of the RISC-V ISA that supports a flat 128-bit address space, which has promise for future extreme-scale systems.

Here the manual notes:

“At the time of writing, the fastest supercomputer in the world as measured by the Top500 benchmark had over 1 PB of DRAM, and would require over 50 bits of address space if all the DRAM resided in a single address space. Some warehouse-scale computers already contain even larger quantities of DRAM, and new dense solid-state non-volatile memories and fast interconnect technologies might drive a demand for even larger memory spaces. Exascale systems research is targeting 100 PB memory systems, which occupy 57 bits of address space. At historic rates of growth, it is possible that greater than 64 bits of address space might be required before 2030.”

At the time of launch, SiFive has one announced customer, Microsemi Corporation, which is also a partner for its FPGA dev boards. The company’s SoC business unit worked with SiFive to build a complete RISC-V sub-system and tool-chain targeting its low power SmartFusion2 SoC FPGA platform. FPGA Freedom platforms are available now.

“We think the industry needs to change,” Kang reflected. “Open-source hardware has the potential to be the solution this industry needs [and] RISC-V has the benefit of being designed for modern software stacks and modern circuit techniques. It’s simple, modern, and clean.”

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire