anti-lock brakes in a car) have real-time requirements if computations are not completed before a deadline, the system will fail, possibly injuring the user. One challenge with embedded systems is delivering predictably good performance.
Combining these two factors means that barriers between these fields can be broken down, enabling synergy between multiple fields and resulting in optimizations which are greater than the sum of their parts. Second, embedded systems are built upon a wide range of disciplines, including computer architecture (processor architecture and microarchitecture, memory system design), compiler, scheduler/operating system, and real-time systems.
#Computer system architecture software#
First, the system designer usually has control over both the hardware design and the software design, unlike general-purpose computing. The field of embedded system research is rich with potential because it combines two factors. This line of definition continues to blur as devices expand. Handheld computers or PDAs are also considered embedded devices because of the nature of their hardware design, even though they are more expandable in software terms. Some examples of embedded systems include ATMs, cell phones, printers, thermostats, calculators, and videogame consoles. Embedded systems are often mass-produced, so the cost savings may be multiplied by millions of items.
Since the system is dedicated to a specific task, design engineers can optimize it, reducing the size and cost of the product. Unlike a general-purpose computer, such as a personal computer, an embedded system performs pre-defined tasks, usually with very specific requirements.
By integrating innovative mechanisms and software techniques, researchers aim to achieve performance goals such as increased computational speed, improved efficiency, scalability, and reliability, ultimately driving the progress and innovation of computing technologies.Īn embedded system is a special-purpose system in which the computer is completely encapsulated by the device it controls. Overall, the Computer Architecture and Systems research area plays a crucial role in advancing the design and engineering of computer systems. Additionally, researchers study system-level optimization and explore techniques for parallel and distributed computing, virtualization, and reliability to ensure robust and secure operation of computer systems. Moreover, the research in Computer Architecture and Systems involves investigating advanced technologies such as multi-core processors, accelerators, heterogeneous computing, and specialized architectures for emerging workloads like artificial intelligence (AI), machine learning, and big data processing. This includes designing efficient instruction set architectures (ISAs), cache hierarchies, pipelining techniques, branch prediction mechanisms, and memory management systems. They explore new approaches to enhance the speed, scalability, and energy efficiency of processors, memory systems, interconnects, and storage devices. Researchers in this area work on developing novel architectures that address the evolving demands of computing. This field aims to optimize the performance, efficiency, and reliability of computer systems. Computer architecture involves the careful organization and integration of hardware components, along with innovative mechanisms and software techniques. The research area of Computer Architecture and Systems centers around the engineering and design of computer systems to achieve specific performance goals.
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