In previous articles, we looked at how to configure the kernel as well as the key components of an embedded operating system (OS). This new article focuses on the hardware components of embedded Linux ...
The rule of thumb in embedded system design has been that addinghardware increases power demands. The careful use of hardwareaccelerators, however, inverts the rule: adding hardware can reducepower.
Nearly every embedded system requires some level of security, whether its just the basics to lock down the programming port or something more complex to protect a connected device from hackers. For ...
Discover the essentials of embedded software and how hardware engineers can efficiently handle software responsibilities.
Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...
A look at the current state of affairs suggests that domain experts and high-level-system architects—as opposed to coders and processor experts—have gained significant ability to participate ...
By combining proven hardware architectures with reusable graphics software, it helps engineers cut development time, reduce system complexity, and deliver intuitive, visually rich interfaces across ...
One of the biggest bottlenecks in the software development process for electronic products is that hardware is not available until late in the cycle. That means embedded software developers need to ...
Embedded control systems are increasingly connected to complex local area networks, such as controller area networks (CAN) with up to 100 nodes, ZigBee wireless control networks with thousands of ...
1. In a big company, doing ASIC design verification for a WCDMA modem for 3G cellular chips. 2. Small company, doing Embedded Software Programming. Working on the design and implementation of layer 1 ...
STL Engineering proudly supports this partnership between Orthogone Technologies and Convergence Design Services, providing ...
Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. This allows for more efficient ...