Hardware-firmware integration has therefore become a fundamental part of embedded system design. It is not simply a software ...

The lightweight allocator demonstrates 53% faster execution times and requires 23% lower memory usage, while needing only 530 lines of code. Embedded systems such as Internet of Things (IoT) devices ...

For years, emerging memory technologies such as MRAM, ReRAM, FeRAM, and PCM have been pitched as game-changing solutions, combining the persistence of Flash with the speed and endurance of DRAM. These ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

AES is one of the most widely used cryptographic algorithms in embedded systems today. It protects industrial gateways, FPGA-based communication systems, automotive networks, VPNs, secure boot chains, ...

Memory safety issues are one of the leading causes of security vulnerabilities in computing systems, including embedded systems. In programming languages like C/C++, developers are expected to manage ...

Poor memory-management practices have been the cause of over 70% of the vulnerabilities found in today’s software. This can lead to a host of problems from programs that fail or degrade to providing ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

We’ve explored each element in detail except for secure storage in the previous posts. Today’s post will dive deeper into secure storage and how it applies to embedded systems. Secure storage is often ...