Learn more about FIFO / CAM IP core
Data centers require many low-level network services to implement high-level applications. Key-Value Store (KVS) is a critical service that associates values with keys and allows machines to share these associations over a network. Most existing KVS systems run in software and scale out by running parallel processes on multiple microprocessor cores to increase throughput.
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).
This article focuses on the most important details of the modern SPI interfaces, which are improved by many useful features. But to start, let us discover the history of the modern SPI interface, because even the old, most basic SPI interfaces are still in use.
In this article, we show how fast video streams conforming to MIPI CSI2 rev2.0 over MIPI DPHY rev1.2 can be generated, using VLSI Plus’ SVTPlus-CSI2-F IP core, with simple off-FPGA analog front-end. The high bit rates can be achieved with a relatively slow FPGA clock frequency, trading off FPGA resources for simple timing closure.
This paper attempts to redefine these existing system level solutions using I3C and examine the improvements it can bring over I2C based solutions. Furthermore, it presents a seamless and risk free migratory path to the industry from these I2C based architectures to I3C based architectures using proven Synopsys Solutions.
When implementing new embedded applications, industrial companies are facing new challenges: these applications are very complex to program (between 5 and 10 million lines of code are common) and require handling of several possibly heterogeneous models and languages. Integration choices are wide-ranging, from functions hard-coded in hardware IP to embedded software for multi-core clusters. Additionally integration must take into account at the same time several kinds of constraints: processing power, memories, power budget limitation, etc.
