Contact Us
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

Resources Search

Resources Search

background-element-24

Sort & Filter

Type
Resources catergories filter
Resources Type Filter
AI / Machine Learning (9) RISC-V Designs (7) Cybersecurity (6) Hardware Security Assurance (5) ISO 26262 (4) Network-on-Chip IP (4) Traceability (4) FMEDA (3) Functional Safety (3) IP-XACT (3) Magillem Connectivity (3) Multi-Die (3) Network-on-Chip (NoC) (3) FlexGen (2) FlexNoC (2) Magillem Registers (2) Power Consumption (2) Radix-S/M/ST (2) Automotive (1) CodaCache (1) Hardware/Software Interface (HSI) (1) Magillem Packaging (1) Ncore (1) Power Management (1) Routing Congestion (1) SystemC (1)
Year filter
Show More
Latest
Oldest
A-Z
Z-A
Filter by Product
Filter by Solution
24 Results
Sort & Filter
AI solution brief thumbnail
Solution Brief

Accelerate, Optimize, and Secure AI-Based SoC Designs with Arteris

Optimize performance, power, and area for AI-driven SoCs from data centers to edge devices. Enable faster innovation in generative AI, physical AI, and autonomous systems with proven Arteris technology built for scalability, efficiency, and hardware assurance.
Optimizing Data Transport Architectures in RISC–V SoCs for AIML Applications
Video

Optimizing Data Transport Architectures in RISC–V SoCs for AI/ML Applications

This presentation covered the challenges and solutions of data–transport architectures for AI and ML in the context of embedded vision architectures and the implementation aspects for NoCs for RISC–V–based SoCs.
SemiEngineering Whiteboard Integration Challenges For RISC-V Designs
Video

Integration Challenges for RISC-V Designs

Modifying the source code allows for democratization of design, but it adds some hurdles for design teams.
SemiEngineering Whiteboard: Promises and Pitfalls of SoC Restructuring
Video

Promises and Pitfalls of SoC Restructuring

Learn about sidestepping data incompatibility issues in heterogeneous chip designs.
Scaling Performance In AI Systems
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.
Power Dissipation of the Network-on-Chip in a System-on-Chip for MPEG-4 Video Encoding
White Paper

Power Dissipation of the Network-on-Chip in a System-on-Chip for MPEG-4 Video Encoding

An oldie but a goodie: Explains power benefits of NoC technology by characterizing a multi-processor system-on-chip (MPSoC) for MPEG4, AVC/H.264 encoding. Explains NoC power model used to analyze power consumption and dissipation.
Scalability A Looming Problem in Safety Analysis
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.
Security in Artificial Intelligence (1)
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

Building Better IP with RTL Architect NoC IP Physical Exploration

Voted one of the “Top Ten Best Presentations” at SNUG Silicon Valley 2023, this presentation discusses the importance of NoCs and their impact on timing analysis and power consumption. It introduces a flow and methodology that utilizes RTL-based estimation of timing and power consumption using RTL Architect in conjunction with Arteris’ FlexNoC 5 and Ncore NoC development frameworks. FlexNoC 5 facilitates up to 5X faster physical convergence of the back-end physical design time and effort.
Previous
Next Page

No results found

Make sure all words are spelled correctly. Try different, more general, or fewer keywords.

Call to Action
Popup Overlay