Semidynamics: A Single-Software-Stack, Configurable and Customizable RISC-V Solution

Semidynamics: A Single-Software-Stack, Configurable and Customizable RISC-V Solution
by Kalar Rajendiran on 11-07-2024 at 6:00 am

Risc V CPU

Founded with a vision to create transformative, customizable IP solutions, Semidynamics has emerged as a significant player in the AI hardware industry. Initially operating as a design engineering company, Semidynamics spent its early years exploring various pathways before pivoting to develop proprietary intellectual… Read More


The Fallacy of Operator Fallback and the Future of Machine Learning Accelerators

The Fallacy of Operator Fallback and the Future of Machine Learning Accelerators
by Kalar Rajendiran on 05-30-2024 at 6:00 am

Chimera GPNPU Block Diagram

As artificial intelligence (AI) and machine learning (ML) models continue to evolve at a breathtaking pace, the demands on hardware for inference and real-time processing grow increasingly complex. Traditional hardware architectures for acceleration are proving inadequate to keep up with these rapid advancements in ML … Read More


Synopsys Design IP for Modern SoCs and Multi-Die Systems

Synopsys Design IP for Modern SoCs and Multi-Die Systems
by Kalar Rajendiran on 04-11-2024 at 10:00 am

Synopsys IP Scale, a Sustainable Advantage

Semiconductor intellectual property (IP) plays a critical role in modern system-on-chip (SoC) designs. That’s not surprising given that modern SoCs are highly complex designs that leverage already proven building blocks such as processors, interfaces, foundational IP, on-chip bus fabrics, security IP, and others. This… Read More


Navigating Edge AI Architectures: Power Efficiency, Performance, and Future-Proofing

Navigating Edge AI Architectures: Power Efficiency, Performance, and Future-Proofing
by Kalar Rajendiran on 11-21-2023 at 10:00 am

CEVA Comprehensive Edge AI Portfolio

The surge in Edge AI applications has propelled the need for architectures that balance performance, power efficiency, and flexibility. Architectural choices play a pivotal role in determining the success of AI processing at the edge, with trade-offs often necessary to meet the unique demands of diverse workloads. There are… Read More


Next-Gen AI Engine for Intelligent Vision Applications

Next-Gen AI Engine for Intelligent Vision Applications
by Kalar Rajendiran on 08-14-2023 at 10:00 am

Synopsys ARC MetaWare NN SDK

Artificial Intelligence (AI) has witnessed explosive growth in applications across various industries, ranging from autonomous vehicles and natural language processing to computer vision and robotics. The AI embedded semiconductor market is projected to reach $800 billion by year 2030. Compare this with just $48 billion… Read More


Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor

Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor
by Kalar Rajendiran on 11-01-2022 at 10:00 am

Memory Optimization Equals Power Minimization

Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More


WEBINAR: Unlock your Chips’ Full Data Transfer Potential with Interlaken

WEBINAR: Unlock your Chips’ Full Data Transfer Potential with Interlaken
by Daniel Nenni on 09-12-2022 at 6:00 am

Interlaken Blog Post Graphic

Way back in the early 2000s when XAUI was falling short on link flexibility a search for an alternative chip-to-chip data transfer interface with SPI like features lead Cisco Systems and Cortina System to put forward the proposal for the Interlaken standard. The new standard married the best of XAUI’s serialized data and SPI’s … Read More


Podcast EP81: The Future of Neural Processing with Quadric’s Steve Roddy

Podcast EP81: The Future of Neural Processing with Quadric’s Steve Roddy
by Daniel Nenni on 05-20-2022 at 10:00 am

Dan is joined by Steve Roddy, chief marketing officer of Quadric, a leading processor technology intellectual property (IP) licensor. Roddy brings more than 30 years of marketing and product management expertise across the machine learning (ML), neural network processor (NPU), microprocessor, digital signal processor

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Bigger, Faster and Better AI: Synopsys NPUs

Bigger, Faster and Better AI: Synopsys NPUs
by Kalar Rajendiran on 05-03-2022 at 10:00 am

ARC NPX6 440 TOPS

AI-based applications are fast advancing with evolving neural network (NN) models, pushing aggressive performance envelopes. Just a few years ago, performance requirements of NN driven applications were at 1 TOPS and less. Current and future applications in the areas of augmented reality (AR), surveillance, high-end smartphones,… Read More


Webinar: Achieving Very High Bandwidth Chip-to-Chip Communication with the Interlaken Interface Protocol

Webinar: Achieving Very High Bandwidth Chip-to-Chip Communication with the Interlaken Interface Protocol
by Eric Esteve on 06-05-2017 at 12:00 pm

Open Silicon will hold this webinar on June 13th at 8 am PDT (or 5 pm CE) to describe their Interlaken IP core, and how to achieve very high bandwidth C2C communication in various networking applications. To be more specific, the Interlaken protocol can be used to support Packet Processing/NPU, Traffic Management, Switch Fabric,… Read More