Resources Search

Video

Scaling Performance in AI Systems

AI designs face increasing challenges in balancing power, performance, and data throughput. Andy Nightingale from Arteris discusses how network-on-chip technology can help alleviate these bottlenecks and accelerate chip time-to-market.

White Paper

Scalability – A Looming Problem in Safety Analysis

Misbehavior in the electronics can lead to accidents, even fatalities. This paper describes how ISO 26262 standard and in particular the Failure Modes, Effects and Diagnostic Analysis (FMEDA) can be leveraged to address this real concern.

White Paper

Security in Artificial Intelligence

Unlock insights into AI security challenges & protection strategies. Dive deep into the dual role of AI in cybersecurity.

Presentation

Automating the Generation of Scalable and Reusable FMEDA in Complex Systems-on-Chip (SoCs)

Presented at IQPC Application of ISO 26262 2022 Conference, describes an approach that uses a hierarchal and modular library of safety components to describe failure modes, safety mechanism diagnostic coverage, and other functional safety metrics at a level that scales with the size and complexity of an SoC and enables reuse for the creation of SoC platform derivative chips, which is common in our industry.

Presentation

Efficient Scaling of AI Accelerators Using NoC Tiling

Learn about the benefits of using NoC tiling in AI accelerators, seamless data management with NoC solutions and real-world applications for AI vision.

Network-on-Chip (NoC)

Presentation

FMEDA Automation for Scalability and Reuse in Complex Systems on Chips (SoCs)

Failure modes, effects, and diagnostic analysis (FMEDA) for sophisticated chips with hundreds of IP blocks are fraught with complexity and opportunities for systematic errors. This presentation will describe an approach that uses a hierarchal and modular library of safety components to describe failure modes, safety mechanism diagnostic coverage, and other functional safety metrics.

Presentation

Is the Missing Safety Ingredient in Automotive AI Traceability?

Presented at The Linley Spring Processor Conference 2022, describes the importance of traceability as it applies to managing SoC requirements and customer deliverables whilst also shortening the path to functional safety certification including ISO 26262.

Presentation

Safety Considerations for Network-on-Chip (NoC) Development

This presentation illustrates functional safety challenges in system design and adherence to the ISO 26262 standard for automotive electronics. It highlights Network-on-Chip (NoC) safety mechanisms, including timeouts, IP Block isolation, and end-to-end interface protection.

Presentation

The Role of Networks-on-Chips Enabling AI/ML Silicon and Systems

Discover how networks-on-chips (NoCs) are revolutionizing AI/ML across sensors, edge devices, and data centers. This video presentation explores how NoCs enable rapid data movement, seamless component integration, and efficient chip-to-chip communication, paving the way for a new era of AI-powered devices.

Podcast

EE Journal: Managing the Massive Data Throughput: AI-Based Designs and The Value of NoC Tiling

In this podcast with Amelia Dalton and Andy Nightingale, explore the key challenge faced by SoC designers when building NoC interconnects for AI-based designs, the details of NoC interconnect IP soft tiling, and some real-world examples of AI-based designs that benefit from NoC IP soft tiling.

Resources Search

Sort & Filter

No results found