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Cadence

www.cadence.com

Cadence enables global electronic design innovation and plays an essential role in the creation of today’s integrated circuits and electronics. Customers use Cadence software, hardware, IP, and services to design and verify advanced semiconductors, consumer electronics, networking and telecommunications equipment, and computer systems. Cadence’s Tensilica dataplane processors (DPUs) sit alongside the central applications processor, performing highly specialized imaging and video pre- and post-processing tasks.

Each DPU can be tailored to the exact application for the most efficient power, area and performance. The Tensilica IVP Image/Video Processor handles complex algorithms including innovative multi-frame image capture and video pre- and post-processing, video stabilization, HDR image and video processing, object and face recognition and tracking, low-light image enhancement, digital zoom and gesture recognition.

Recent Content by Company

“Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases,” a Presentation from Cadence

Pulin Desai, Vision and AI Product Marketing Group Director at Cadence, presents the “Cadence Tensilica Edge AI Processor IP Solutions for Broad Market Use Cases” tutorial at the September 2020 Embedded Vision Summit. In this talk, Desai presents the full range of Cadence Tensilica edge AI processing solutions. These silicon… “Cadence Tensilica Edge AI Processor …

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Cadence Tensilica Demonstration of a mmWave 4D Imaging Radar Solution for Automotive Applications

Amol Borkar, Senior Product and Marketing Manager for Vision and AI DSPs at Cadence Tensilica, delivers a product demonstration at the January 2020 Consumer Electronics Show. Specifically, Borkar showcases customer solutions that feature the Tensilica Vision DSP for mmWave 4D imaging radar applications. First, Borkar demonstrates Vayyar’s mmWave radar solution, used here for real-time in-cabin …

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Cadence Tensilica Demonstration of ADAS Applications on an AI Perception Processor

Amol Borkar, Senior Product and Marketing Manager for Vision and AI DSPs at Cadence Tensilica, delivers a product demonstration at the January 2020 Consumer Electronics Show. Specifically, Borkar showcases Black Sesame Technologies’ A500 (HS1) SOC, which features the Tensilica Vision P6 DSP along with Black Sesame Technologies’ own Ultra Deep Learning Neural Network hardware accelerator. …

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Cadence Demonstration of Vision and AI Applications on Tensilica DSP-based Platforms

Amol Borkar, Senior Product Manager and Marketing of Vision and AI DSPs at Cadence, delivers a product demonstration at the September 2019 Vision Industry and Technology Forum. Specifically, Borkar first demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. This first demonstration showcases high throughput and accurate fixed-point …

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Cadence Demonstration of a 3D Radar Imaging System on Vayyar’s Platform Powered by a Tensilica Vision DSP

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates an advanced mmWave 3D Imaging Radar Solution for occupancy detection in smart homes, automotive, retail, and more, running on a Tensilica Vision DSP-based platform by Vayyar.

Cadence Demonstration of Real-Time Depth Sensing on a Tensilica Vision DSP-Based Platform

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates low-power, real-time, stereo camera-based depth sensing targeted for drones, industrial robotics, and AGVs, running on a customer’s platform powered by a Tensilica Vision P6 DSP-based SoC.

Cadence Demonstration of a Recurrent Neural Network-Based Show Attend and Tell on a Tensilica DSP Platform

Amol Borkar, Senior Product Marketing Manager at Cadence, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Borkar demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. The demo showcases high throughput and accurate fixed-point deployment of a network based on a Recurrent Neural Network …

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“Fundamentals of Monocular SLAM,” a Presentation from Cadence

Shrinivas Gadkari, Design Engineering Director at Cadence, presents the “Fundamentals of Monocular SLAM” tutorial at the May 2019 Embedded Vision Summit. Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the …

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“Portable Performance via the OpenVX Computer Vision Library: Case Studies,” a Presentation from Cadence

Frank Brill, Design Engineering Director at Cadence, presents the “Portable Performance via the OpenVX Computer Vision Library: Case Studies” tutorial at the May 2019 Embedded Vision Summit. OpenVX is a state-of-the-art open API standard for accelerating applications using computer vision and machine learning. The API and its conformance tests enable applications to leverage highly specialized …

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Toshiba Selects Cadence Tensilica Vision P6 DSP as Image Recognition Processor for its Next-Generation ADAS Chip

Tensilica Vision P6 DSP increases performance and power efficiency compared to CPUs for vision and AI applications SAN JOSE, Calif., June 13, 2019—Cadence Design Systems, Inc. (NASDAQ: CDNS) announced today that Toshiba has implemented the Cadence® Tensilica® Vision P6 DSPs for its next-generation automotive SoC to meet functional safety requirements. The Vision P6 DSP provides …

Toshiba Selects Cadence Tensilica Vision P6 DSP as Image Recognition Processor for its Next-Generation ADAS Chip Read More +

“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence

Pulin Desai, Vision Product Marketing Director at Cadence, presents the "Highly Efficient, Scalable Vision and AI Processors IP for the Edge" tutorial at the May 2019 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based vision and AI processor family, and illustrates how easily vision algorithms (e.g., SLAM, 3D capture) and AI …

“Highly Efficient, Scalable Vision and AI Processors IP for the Edge,” a Presentation from Cadence Read More +

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New Cadence Tensilica Vision Q7 DSP IP Doubles Vision and AI Performance for Automotive, AR/VR, Mobile and Surveillance Markets

Delivers up to 1.82TOPS with instruction set enhancements optimized for SLAM algorithms SAN JOSE, Calif., May 15, 2019—Cadence Design Systems, Inc. (NASDAQ: CDNS) today expanded the high end of its popular Tensilica® Vision DSP product family with the introduction of the Cadence® Tensilica Vision Q7 DSP delivering up to 1.82 tera operations per second (TOPS). …

New Cadence Tensilica Vision Q7 DSP IP Doubles Vision and AI Performance for Automotive, AR/VR, Mobile and Surveillance Markets Read More +

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ImageNet: The Benchmark that Changed Everything

This blog post is an abridged version of one originally published at Cadence's website. It is reprinted here with the permission of Cadence. I like to date technical transitions from specific events, even though realistically they take place over an extended period. For example, I think the modern era of IC design and EDA started …

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Cadence Demonstration of AI at the Edge on Consumer Phones Powered by Tensilica Vision DSPs

Amol Borkar, Senior Product Marketing Manager at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2019 Consumer Electronics Show. Specifically, Borkar demonstrates face unlock (enabled by Face++) on Huawei phones, as well as HDR, AI beautification and bokeh effects (enabled by Arcsoft and Sensetime) on Oppo and Vivo phones. All …

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Cadence Demonstration of ADAS Applications Using Geo Semiconductor’s Tensilica-based GW5400

Amol Borkar, Senior Product Marketing Manager at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2019 Consumer Electronics Show. Specifically, Borkar demonstrates real-time driver monitoring and pedestrian detection running on Geo Semiconductor's GW5400 chip, powered by a Tensilica Vision DSP.

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Vayyar Selects Cadence Tensilica Vision DSP for Advanced Millimeter Wave 3D Imaging Radar Solution

Vision DSP family efficiently executes complex imaging algorithms and processes back-end radar signals on the edge in real time without needing a CPU SAN JOSE, Calif. and YEHUD, Israel, 08 Jan 2019 – Cadence Design Systems, Inc. (NASDAQ: CDNS) and Vayyar Imaging, a global leader in 3D imaging technology, today announced that Vayyar Imaging has …

Vayyar Selects Cadence Tensilica Vision DSP for Advanced Millimeter Wave 3D Imaging Radar Solution Read More +

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ArcSoft and Cadence Partner to Develop AI and Vision Applications

Cadence Tensilica Vision P6 DSP improves performance for AI and vision applications SAN JOSE and FREMONT, Calif., July 12, 2018—Cadence Design Systems, Inc. (NASDAQ: CDNS) and ArcSoft, the global leader in imaging intelligence technology, today announced they have partnered to develop AI and vision applications for Cadence® Tensilica® Vision DSPs. ArcSoft has collaborated with Cadence …

ArcSoft and Cadence Partner to Develop AI and Vision Applications Read More +

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GEO Semiconductor Selects Cadence Tensilica Vision P5 DSP for Their Most Advanced Automotive Smart Viewing Camera Processor

Integration of the Vision P5 DSP allows OEMs to run computer vision applications to enable enhanced automated driving experiences SAN JOSE, Calif., February 26, 2018—Cadence Design Systems, Inc. (NASDAQ: CDNS) today announced that GEO Semiconductor (GEO) selected the Cadence® Tensilica® Vision P5 DSP for GEO’s new GW5400 camera video processor. According to GEO, their GW5400 …

GEO Semiconductor Selects Cadence Tensilica Vision P5 DSP for Their Most Advanced Automotive Smart Viewing Camera Processor Read More +

Cadence Demonstration of On-Device AI for Image Classification

Megha Daga, senior technical marketing manager at Cadence, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Daga demonstrates the highly capable Tensilica Vision P6 DSP, which does both computer vision and AI processing. The demo showcases Cadence’s automatic code generation tool for neural networks, the Xtensa Neural Network Compiler, which accepts …

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Cadence Demonstration of On-Device AI for Object Detection

Megha Daga, senior technical marketing manager at Cadence, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Daga demonstrates the power of the Tensilica Vision P6 DSP to perform both computer vision and AI processing. The demo detects all the faces in the camera view using the Tiny Yolo V2 network, and …

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“Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors,” a Presentation from Cadence

Megha Daga, Senior Technical Marketing Manager at Cadence, presents the “Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors” tutorial at the May 2018 Embedded Vision Summit. The use of deep neural networks (DNNs) has accelerated in recent years, with DNNs making their way into diverse commercial products. But DNNs consume vast …

“Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors,” a Presentation from Cadence Read More +

“The Perspective Transform in Embedded Vision,” a Presentation from Cadence

Shrinivas Gadkari, Design Engineering Director, and Aditya Joshi, Lead Design Engineer, both of Cadence, present the “Perspective Transform in Embedded Vision” tutorial at the May 2018 Embedded Vision Summit. This presentation focuses on the perspective transform and its role in many state-of-the-art embedded vision applications like video stabilization, high dynamic range (HDR) imaging and super …

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

OpenVX Implementations Deliver Robust Computer Vision Applications Read More +

OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities Read More +

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Visual Ventures with Chris Rowen

This article was originally published as a two-part blog series at Cadence's website. It is reprinted here with the permission of Cadence. "Even if he gives the same presentation two weeks apart, it will be different.” —Neil Robinson, fellow attendee, on Chris Rowen My question: Is it because he is such a dynamic speaker, and …

Visual Ventures with Chris Rowen Read More +

“Techniques to Reduce Power Consumption in Embedded DNN Implementations,” a Presentation from Cadence

Samer Hijazi, Deep Learning Engineering Group Director at Cadence, presents the "Techniques to Reduce Power Consumption in Embedded DNN Implementations" tutorial at the May 2017 Embedded Vision Summit. Deep learning is becoming the most widely used technique for computer vision and pattern recognition. This rapid adoption is primarily driven by the outstanding effectiveness deep learning …

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“Scalable Neural Network Processors for Embedded Applications,” a Presentation from Cadence

Pulin Desai, Director of Product Marketing at Cadence, presents the "Scalable Neural Network Processors for Embedded Applications" tutorial at the May 2017 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based neural network processor IP and illustrates how easily different neural networks can be run using it. See how this low-power architecture …

“Scalable Neural Network Processors for Embedded Applications,” a Presentation from Cadence Read More +

“The OpenVX Computer Vision Library Standard for Portable, Efficient Code,” a Presentation from Cadence

Frank Brill, Design Engineering Director at Cadence and Chairperson of the Khronos Group's OpenVX Working Group, presents the "OpenVX Computer Vision Library Standard for Portable, Efficient Code" tutorial at the May 2017 Embedded Vision Summit. OpenVX is an industry-standard computer vision API designed for efficient implementation on a variety of embedded platforms. The API incorporates …

“The OpenVX Computer Vision Library Standard for Portable, Efficient Code,” a Presentation from Cadence Read More +

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Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations

Neural networks enable the identification of objects in still and video images with impressive speed and accuracy after an initial training phase. This so-called "deep learning" has been enabled by the combination of the evolution of traditional neural network techniques, with one latest-incarnation example known as a CNN (convolutional neural network), by the steadily increasing …

Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations Read More +

“The Road Ahead for Neural Networks: Five Likely Surprises,” a Presentation from Cadence

Dr. Chris Rowen, Chief Technology Officer of the IP Group at Cadence, presents the "Road Ahead for Neural Networks: Five Likely Surprises" tutorial at the May 2016 Embedded Vision Summit. Cognitive computing is finally getting real! It has passed through the phases of obscurity and curiosity and is surviving the current phase of breathless hype. …

“The Road Ahead for Neural Networks: Five Likely Surprises,” a Presentation from Cadence Read More +

OpenVX Enables Portable, Efficient Vision Software

OpenVX, a maturing API from the Khronos Group, enables embedded vision application software developers to efficiently harness the various processing resources available in SoCs and systems. Vision technology is now enabling a wide range of products, that are more intelligent and responsive than before, and thus more valuable to users. Such image perception, understanding, and …

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Using Convolutional Neural Networks for Image Recognition

This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers …

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“Designing and Selecting Instruction Sets for Vision,” a Presentation From Cadence

Chris Rowen, Fellow at Cadence, presents the "Designing and Selecting Instruction Sets for Vision" tutorial at the May 2015 Embedded Vision Summit. Two critical technical trends have reached important inflection points: the massive compute demands of vision processing and the capabilities of specialized vision processors. But what how do you actually select (or even build) …

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May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence, presents the "Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking" tutorial at the May 2014 Embedded Vision Summit. This presentation looks at a cross-section of advanced feature detectors, and considers the algorithm, bit precision, arithmetic primitives and implementation optimizations that yield high pixel processing rates, …

May 2014 Embedded Vision Summit Technical Presentation: “Taming the Beast: Performance and Energy Optimization Across Embedded Feature Detection and Tracking,” Chris Rowen, Cadence Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence

Chris Rowen, Fellow at Cadence and Founder of Tensilica, presents the "Porting Applications to High-Performance Imaging DSPs" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Rowen discusses the challenges of porting and tuning applications to a high-performance imaging DSP.  An imaging-specific DSP can make a …

April 2013 Embedded Vision Summit Technical Presentation: “Porting Applications to High-Performance Imaging DSPs,” Chris Rowen, Cadence Read More +

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