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In-System Networks Are Front And Center


This year’s HotChips conference at Stanford was all about artificial intelligence (AI) and machine learning (ML) and what particularly struck me, naturally because we’re in this business too, was how big a role on-chip networks played in some of the leading talks. NVIDIA talked about their scalable mesh architecture, both on-chip and in-package, meshes connecting processing NN processing el... » read more

Applying Machine Learning


Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

OSDN – On-chip Software Defined Network


You must be mumbling to yourself, “Oh no, not another NoC article! The term NoC is used so loosely in the industry and everybody seem to be claiming they have one, so what more is there to say?” Fair enough, but please indulge me. Actually, there are some wannabe NoCs out there, but very few actually provide a full-fledged network. I submit, a real NoC should implement all the same key d... » read more

An Analysis Of Blocking Vs. Non-Blocking Flow Control In On-Chip Networks


High end System-on-Chip (SoC) architectures consist of tens of processing engines. These processing engines have varied traffic profiles consisting of priority traffic that require that the latency of the traffic is minimized, controlled bandwidth traffic that require low service jitter on the throughput, and best effort traffic that can tolerate highly variable service. In this paper, we inves... » read more