Lattice Blog

MachXO3D

MachXO3D: Enabling Hardware Security

Posted 05/20/2019 by Gordon Hands

We live in an increasingly connected world, filled with communication systems, cloud computing and Edge devices working together to increase safety, comfort and convenience. But with that connectivity comes risk. We’re all familiar with how hackers exploit vulnerabilities in software to illegitimately access systems, but hardware is also vulnerable.

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AI in Retail

Implementing Low Cost Intelligence in Smart Retail Applications

Posted 04/10/2019 by Dirk Seidel

We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.

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Architecting Low Power AI

System Architecture Options for On-Device AI

Posted 11/14/2018 by Deepak Boppana

How often is low power the determining factor for success? Certainly when designing solutions for AI inferencing in always-on edge devices, the power consumption must be measurable in milliwatts. Think about it: AI at the edge solves real world problems, and is – or very soon will be – everywhere.

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Is Your Computer Firmware Safe?

New NIST Standard Tackles Latest Attack Vector for Servers

Posted 11/07/2018 by Shyam Chandra

There is an emerging, though not widely known attack vector for hacking a server: firmware. Last month, researchers at ESET published a report on Lojax, a rootkit (firmware hacking tool) believed to have been developed by Sednit, the notorious cyberespionage group linked to Russian military intelligence.

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Use FPGAs to Optimize Always-on, Inferencing Applications

Use FPGAs to Optimize Always-on, Inferencing Applications

Posted 10/08/2018 by Deepak Bopanna

A new generation of AI-based edge computing applications demand a wide range of performance requirements. But how can developers build edge solutions that consume little power and occupy minimal footprint at low cost without compromising performance?

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Meeting Demand for More Intelligence at the Edge

Meeting Demand for More Intelligence at the Edge

Posted 08/21/2018 by Deepak Boppana

Over recent decades system design has evolved from one processing topology to another, from centralized to distributed architectures and back again in a constant search for the ideal solution.

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AI / Machine Learning

Inferencing Technology Stack Shrinks Time-to-Market for Edge Applications

Posted 06/12/2018 by Deepak Boppana

New Technology Promises to Accelerate Deployment of Machine Learning Inferencing Across Mass Market, Low-power IoT Applications

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Form Follows Function – Selecting the Best Lattice FPGA

Form Follows Function – Selecting the Best Lattice FPGA

Posted 04/03/2018 by Gordon Hands

You may be asking yourself, “What does a nineteenth century architect have to do with FPGAs?” A key decision facing many system architects is which FPGA families to use in their next project. Lattice currently offers four classes of FPGAs: iCE, ECP, Mach and CrossLink. It is often tempting to think of FPGAs as just a blank canvas, ready to be filled with digital logic.

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Lattice Radiant Software

Lattice Radiant Software: Full-featured Tool Suite for Edge Designs

Posted 03/06/2018 by Choon-Hoe Yeoh

We recently introduced our next generation FPGA design software: Lattice Radiant software. Embracing our corporate mission of enabling edge connectivity and computing designs, the Radiant software was specifically created for the development of edge applications. It is a full-featured FPGA design tool suite and yet simple to use.

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The Life of an Extraordinary Lattice Employee

The Life of an Extraordinary Lattice Employee

Posted 01/08/2018 by Ryan Short

On December 21, 1983, a young engineer with a long mullet and bell-bottoms flew to Portland, Oregon to join a start-up, Lattice Semiconductor, as employee #31. He left a steady job at Harris Corp. in Melbourne, Florida to go where he thought he could have the most significant impact. Lattice was a using an EEPROM technology that he had an idea for.

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The Evolution of Computing

The Evolution of Computing

Posted 12/19/2017 by Darin Billerbeck, President and CEO, Lattice Semiconductor

The first “computer” I ever owned was a slide rule. By today’s standards you could say my pencil served as my terminal and the slide rule was my computing agent. People laugh about it now, but my trusty slide rule served its purpose. In the business world, server-based computing was all the rage. Those early systems represented some of the first centralized computing architectures.

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Not Your Father’s FPGA

Not Your Father’s FPGA

Posted 11/21/2017 by Doug Hunter

I keep running into engineers who say “we can’t use FPGAs because they are too big, power hungry, and expensive!” While that’s true for many FPGAs, there are some FPGAs which defy the size, power, and cost stereotype. Thanks to these pioneers, FPGAs are no longer limited to network centers and are now becoming pervasive in edge devices you interact with daily.

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Solving Embedded Challenges

Solving the Embedded Challenge of Too Many Signals and Interfaces

Posted 11/07/2017 by Joel Coplen

Building designs around state of the art microcontrollers and embedded processors brings along a specific challenge: not enough I/Os and interfaces. Today’s embedded systems have more real-time data and control requirements than ever.

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Improved FPGA Designs with Diamond 3.10

Improved FPGA Designs with Diamond 3.10

Posted 10/24/2017 by Choon-Hoe Yeoh

In our continuous quest to provide our users with the best design tools possible, we are very excited to announce the latest release of the Lattice Diamond software. The Diamond 3.10 software continues to focus on low power consumption with various power-aware design methods, supports a broader range of automotive products, and offers increased productivity and better user experience via the improved logic analyzer tool.

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A Modular Approach to Embedded Vision Prototyping

A Modular Approach to Embedded Vision Prototyping

Posted 10/10/2017 by Dirk Seidel

Imagine you’ve been given the responsibility to develop a new video bridging solution. Initially, you have a specific application in mind, but as cameras emerge in a growing number of intelligent applications, ranging from object recognition and depth perception to lane detection and collision avoidance, you know you will need prototypes for a wider variety of functions.

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Power Management 2.0

Power Management 2.0

Posted 08/01/2017 by Shyam Chandra

In this 6 part series we are looking at the challenges of implementing an efficient power management architecture in today’s complex circuit board designs.

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Machine Vision: Letting My Device See Me

Machine Vision: Letting My Device See Me

Posted 07/18/2017 by Jatinder (JP) Singh

The first time I read Isaac Asimov's I, Robot as a teenager, I was instantly fascinated by the humanoid robots in the stories. These machines could see, hear and interact with the surrounding world with human-like abilities. These astonishing capabilities fed my imagination. I even recall asking my dad if these machines could really “see.” Now, as an engineer, I understand the importance of machine vision and the power of "sight” for robotics.

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Power Management using a Control PLD with on-chip ADC

Power Management using a Control PLD with on-chip ADC

Posted 05/09/2017 by Shyam Chandra

In our 5th post, we will look at one final attempt to develop an efficient power management solution for a modern circuit board. In this model we have come full circle. The control PLD is back in charge of all power management functions.

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Simplify Multi-Camera Designs with CrossLink

Simplify Multi-Camera Designs with CrossLink

Posted 03/14/2017 by Tom Watzka

CSI-2 cameras are a hot commodity. Driven by new regulations requiring backup cameras on new cars and continual improvements in camera-based Advanced Driver Assistance System (ADAS) functions, the global vehicle camera market is expected to grow at a CAGR of 11 percent between 2015 and 2020. Growth in the camera market is also driven by the rapidly escalating use of drones, which market research firm Radiant Insights expects to jump from $2B in 2016 to over $21B by 2022.

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When Less is More: How Signal Aggregation Can Simplify Your Design

When Less is More: How Signal Aggregation Can Simplify Your Design

Posted 02/28/2017 by Abdullah Raouf

It’s tough being a mobile designer. Whenever new and exciting functionalities are identified, it is up to them to figure out how to implement those new elements into an already “crowded” design. Take a smartphone and new always-on monitoring functionality, for example. Every sensor the designer adds to support always-on monitoring and context awareness must continuously send data to the applications processor (AP).

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