Embedded multicore systems require engineers to make choices around the hardware and software architectures, approaches to certification and more. This is a guide to the trade-offs involved and how to best leverage your options.
This article explains which form of DRAM memory is best for your SoC application, comparing DDR variants, types of DIMM, mobile and low-power versions, graphics memory and 3D stacks.
Bob Smith of the ESD Alliance describes how we can promote the ongoing evolution of the design ecosystem.
Application-specific processors can provide high performance for specialised tasks at low energy cost.
Optimizing the way in which machine learning algorithms are implemented in hardware will be a major differentiator for SoCs, especially for edge devices.
Antifuse-based OTP NVM is highly scalable, has the area efficiency to enable macros of megabit capacities, and offers low read power.
The basics of USB 3.2, how to implement it in an SoC, and how USB Type-C connectors and cables are used in USB 3.2 systems.
The proliferation of attacks against embedded systems is making designers realize that they need to do more to secure their products and ecosystems.
Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.
Machine-learning strategies for embedded vision are evolving so quickly that designers need access to flexible, heterogenous processor architectures that can adapt as the algorithms evolve.
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