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This post provides an in-depth look at the fundamentals of high-speed interconnects, AI/HPC trends (HBM/D2D/CPO), and the three critical requirements of Physical AI: Deterministic Latency, Functional Safety (ISO 26262), and Automotive Reliability (AEC-Q100).
The authors present cMPI, the first work to optimize MPI point-to-point communication (both one-sided and two-sided) using CXL memory sharing on a real CXL platform, transforming cross-node communication into memory transactions and data copies within CXL memory, bypassing traditional network protocols.
The recently released Ultra Ethernet (UE) 1.0 specification defines a transformative High-Performance Ethernet standard for future Artificial Intelligence (AI) and High-Performance Computing (HPC) systems. This paper, written by the specification's authors, provides a high-level overview of UE's design, offering crucial motivations and scientific context to understand its innovations.
The Ultra Ethernet Consortium is introducing a link-layer retry mechanism to avoid costly recovery at higher layers.
The rapid evolution of artificial intelligence (AI) is reshaping the technological landscape, driving unprecedented demands on computing infrastructure. At the heart of this transformation lie innovations in intellectual property (IP) that enable scalable, efficient, and performance-driven AI factories.
When a designer of telecoms equipment such as a server or switch specifies an FPGA for a high-speed data interfacing function, performance is the most important criterion for choosing the preferred device. If the rule of thumb in specifying an electronics component is that the designer can have one or two of high speed, low power consumption, small size and low cost, but not three or all four of these attributes, the telecoms equipment manufacturer will prioritize high speed above the other factors.