The Missing Layer in AI Systems Design is Predictable, Scalable Data Movement
The article explores why predictable, scalable data movement is becoming a critical architectural requirement for AI systems as compute complexity...
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The article explores why predictable, scalable data movement is becoming a critical architectural requirement for AI systems as compute complexity...
Network-on-Chip (NoC) architectures have become the standard interconnect fabric for many-core systems, yet most proposals face a fundamental trade-off...
Generate scalable NoC IPs with IDS-NoC™ for efficient data transfer, distributed routing, and high-performance SoC communication.
This article examines how SoC integration has become a major bottleneck as designs scale in complexity, with growing numbers of IP blocks, registers,...
Arteris provides high-performance and energy-efficient, safe and secure silicon-proven network-on-chip (NoC) IP technology for AI ASIC with chiplet...
Arteris FlexNoC selected for advanced infotainment and driver assistance applications, extending long-term collaboration between the companies.
When chip design and verification teams start a new project, they recognize the need for models that capture the design at a high level of abstraction....
Learn how automotive companies are approaching ASIL compliance for AI systems using safety islands, redundancy, and functional safety architectures.
As AI designs continue to grow in complexity, managing massive data flows through fixed, point-to-point connections no longer scales efficiently....
Arteris FlexNoC network-on-chip (NoC) IP and Magillem software successfully deployed in the Li Auto L9 Livis high-tech flagship SUV via its proprietary...
This paper presents a fast yet accurate end-to-end modeling approach for latency-sensitive many-core architectures, targeting large-scale instances...
Modern AI SoCs are forcing architects to treat the network-on-chip as a first-order design decision. As compute density increases, the system bottleneck...
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