MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding Accelerators
Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placement...
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Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placement...
This article presents a hardware-software co-design framework that unifies distributed compute, memory, and communication into a seamless processing-communication...
This post discusses the network-on-chip (NoC) approach and explains how Agnisys can help you generate NoCs automatically for your designs.
A decade ago, a high-end server processor might have accessed 50 to 100 GB/s of memory bandwidth. At the time, that seemed impressive. Today, AI...
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.
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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.
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