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Published in Phillip A. Laplante, Dictionary of Computer Science, Engineering, and Technology, 2017
thread a unit of concurrency within a process. Sharing a single CPU between multiple tasks (or “threads”) is a way designed to minimize the time required to switch threads. This is accomplished by sharing as much as possible of the program execution environment between the different threads so that very little state needs to be saved and restored when changing thread. Multithreading differs from multitasking in that threads share more of their environment with each other than do tasks under multitasking. Threads may be distinguished only by the value of their program counters and stack pointers while sharing a single address space and set of global variables. There is thus very little protection of one thread from another, in contrast to multitasking. Multithreading can thus be used for very fine-grain multitasking, at the level of a few instructions, and so can hide latency by keeping the processor busy after one thread issues a long-latency instruction on which subsequent instructions in that thread depend. A lightweight process is somewhere between a thread and a full process.
Applications, Challenges, and Possibilities
Published in Wong Gabriyel, Wang Jianliang, Real-Time Rendering: Computer Graphics with Control Engineering, 2017
As a quick primer, a process in computer programming terminology is the execution of an instance of an application. A thread is a single path of execution within a process. In addition, a process (essentially an application) can spawn and use multiple threads. Since a process can consist of multiple threads, a thread is commonly classified as a lightweight process. Often, the essential differentiating point between a thread and a process is the nature of the task assigned to be accomplished.
An open-source software framework for reinforcement learning-based control of tracked robots in simulated indoor environments
Published in Advanced Robotics, 2022
A. Mitriakov, P. Papadakis, S. Garlatti
Server This is a light-weight process which functions in parallel to the rest of the framework, helps to visualize learning results and run experiments, otherwise every experiment would need to be launched manually. The user can start an experiment through GUI which requests the server, the later creates the ECF and launches algorithm. To visualize the data of the experiment, GUI interacts with server, which requests database, and returns data.