XMOS XSCOPE HOW TO
XMOS XSCOPE SOFTWARE

Several MAS tools are available which allow for a simplified modeling experience, but usually lack the capability to scale models to real world scenarios while maintaining performance and efficiency. To democratize modelling and simulation with individual based Multi-Agent Simulation (MAS) as well as to make it more accessible for researchers from across the world, a Modeling and Simulation as a Service (MSaaS) platform is required. The MARS WebSuite features a multitude of processes and tools chained together with a focus on usability to provide an approach to today’s simulation requirements. In contrast to existing simulation environments, MARS is not a single program, but a service, accessible through your web browser. The MARS Group (Multi Agent Research and Simulation) of the Hamburg University of Applied Sciences is developing a distributed and highly scalable agent simulation framework for use in research and education. Successful results have been obtained with modest efforts. A secure embedded system that takes advantage of event-driven, multi-thread processors has been developed for a radio-controlled car with some sensors and simple codes on an XMOSX K-1 board. In contrast, an event-driven, multi-thread XMOS processor can accommodate simple and user-friendly codes using highly abstract modeling. So-called spaghetti codes with their insufficient interruption handling bring about serious problems. Conventional microcomputers based on sequential execution are unsuitable for concurrent processes in a realtime system.

XMOS XSCOPE SOFTWARE

In recent years, more and more software controllers have been installed in many parts of a vehicle.

XMOS XSCOPE HOW TO

This paper describes how to resolve the complexity of both software and hardware development of an embedded system using a new XMOS processor that can perform concurrent processes. The conventional microcomputers often used in autonomous vehicles suffer from the disadvantage of having long complex codes containing unavoidable bugs. In this paper, we describe the overall design of our ground and aerial vehicles built around the XMOS processor, and present case-study analyses of the systems. The proposed platform overcomes this limitation by unifying the high-level processing with the low-level, real-time control required for vehicle control using the XMOS technology, a new event-driven parallel processor for embedded systems. The conventional approach combines several types of microprocessors together to achieve simultaneous processing at different levels, a design choice that increases the overall complexity of the system by requiring glue logic and more off-chip communication. These technologies have pros and cons, but one common disadvantage is the complexity of handling multiple I/O streams while simultaneously engaging in complex computational tasks required for intelligent behavior. The current unmanned system design paradigm generally uses widely available microcontroller platforms such as PIC from Microchip, ARM microcontrollers, x86 architectures, among others. The research work mentioned here not only illustrates the functionality of multicore microcontroller, but also express the novel technique of programming, profiling and optimization on such platforms in real time environments.In this paper we describe a new design for intelligent unmanned vehicles using the XMOS processor and related technology. The relative study for multicore processor and multicore controller concludes that micro architecture based controller having multiple cores illustrates better performance in time critical multi-tasking environment. The tasks assigned to multiple cores are executed simultaneously, which saves the time and energy. The paper also imitates multi-tasking and parallel programming for the same platform. The experimental results mentioned in the paper are based on xCORE multicore microcontroller form XMOS®. Due to the high complexity and limitations, it is very hard to work on the application development phase on such architectures. This paper presents the research work on multicore microcontrollers using parallel, and time critical programming for the embedded systems.

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