Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

Browse

Search Results

Now showing 1 - 3 of 3
  • Report
    Design Notes of Microprocessor U311.1
    (Izmir Institute of Technology, 2017) Ayav, Tolga
    This handbook includes a part of the lecture notes of CENG 311 Computer Architecture course given in the undergraduate program of the Department of Computer Engineering at Izmir Institute of Technology. One aim of this course is to introduce the preliminaries of a general purpose microprocessor design. To this end, I aim to teach a very simple microprocessor which we call μ311.1 , an 16-bit processor with only 25 instructions. This document is intended to help the students with their laboratory works. In the experimental part of the course, students are expected to implement this or another similar processor using VHDL in order to attain a sufficient knowledge and intuition about “What is really happening inside a computer system?”. In other words, starting from typing printf("value:%d",*p); they must understand compiling, assembling, linking, loading the machine code and how processors execute this code. This document aims to give a very short and abstract answer to the above question. Students may find many parts missing, too short or incomplete. Nonetheless, I hope that this will be a good starting point for their deeper research as well as their study of computer architecture.
  • Report
    Transforming Vhdl To Timed Automata
    (Izmir Institute of Technology, 2016) Ayav, Tolga; Tuğlular, Tuğkan; Belli, Fevzi
    This report presents the transformation of behavioral VHDL programs to Timed Automata.
  • Conference Object
    Neuro-Fuzzy Controller in Real-Time Feedback Schedulers
    (Izmir Institute of Technology, 2002) Ayav, Tolga; Yılmaz, Sinan
    Traditional scheduling algorithms worked on closed and highly predictable environments. However present day systems need to work in more open and unpredictable environments; such as mobile robots, on-line trading, e-commerce, multimedia that cannot be driven well with traditional open-loop algorithms. A new scheduling paradigm, feedback control scheduling, therefore has been presented recently to fulfil the requirements of such systems. This algorithm defines error terms for schedules, monitors the error, and continuously adjusts the schedule to maintain stable performance. When PID (Proportional-Integral-Derivative) controller is used to control the CPU utilization, one of the problems faced is that when utilization setpoint is closer to 100%, in severely overloaded conditions, systems can have a longer settling time than the analysis based on the linear model since utilization feedback saturates at 100%. To overcome this problem, a neuro-fuzzy controller is designed instead of PID. Simulations showed that settling time with the neuro-fuzzy controller is approximately four times shorter than the one with the PID controller.