Abstract:
Multi-media computer system diagnostic system for fault isolation in a multi-tasking hard, real-time task environment is described. Hard, real-time multi-tasking operations, particularly those unique to signal processing tasks may be monitored without creating a task processing overload and without delaying the results beyond hard, real-time task deadlines by insertion of a branch instruction in the task execution instructions being examined which cause execution of the task to branch to a diagnostic program. The diagnostic program executes a diagnostic instruction set and captures one or more digital samples characteristic of the operation of the hard, real-time task at the point in its program execution where the branch instruction was located. The digital data samples so obtained may be queued and graphically plotted on the screen of a display associated with the computer system to generate a graphical representation of the performance of the algorithm or signal processing task under examination in order to quickly isolate task malfunctions without having to review a mass of digital data samples. Alternatively, pre-selected samples may be injected into the task execution by loading task registers with predetermined data by executing a branch to a diagnostic function which inserts the samples.
Abstract:
A graphical system resource monitor is provided to depict, in real-time, a data processing system's internal resource utilization. A window or viewport of a data processing system displays user specified internal system resources, such as memory, CPU, or peripheral device availability/utilization. This graphical representation of the 'state' of the data processing system's resources is maintained in real-time, while the impact on the system's performance in providing such information is kept to a minimum. This is accomplished through a combination of various techniques, including specialized device drivers for the respective devices coupled with a unique data reduction technique. The graphical results of these resource monitors are continually updated in real-time. This real-time support provides an immediate and accurate representation of the internal operations of the data processing system. Further, these resources can monitored at the process level of a multiprocessing system. These representations can be used by a user to identify, isolate, and fine-tune the data processing system's resources to improve the overall efficiency of the system being monitored.
Abstract:
A graphical system resource monitor is provided to depict, in real-time, a data processing system's internal resource utilization. A window or viewport of a data processing system displays user specified internal system resources, such as memory, CPU, or peripheral device availability/utilization. This graphical representation of the 'state' of the data processing system's resources is maintained in real-time, while the impact on the system's performance in providing such information is kept to a minimum. This is accomplished through a combination of various techniques, including specialized device drivers for the respective devices coupled with a unique data reduction technique. The graphical results of these resource monitors are continually updated in real-time. This real-time support provides an immediate and accurate representation of the internal operations of the data processing system. Further, these resources can monitored at the process level of a multiprocessing system. These representations can be used by a user to identify, isolate, and fine-tune the data processing system's resources to improve the overall efficiency of the system being monitored.
Abstract:
A system resource monitor is provided to capture a data processing system's internal resource utilization, such as memory, CPU, or peripheral device availability/utilization. The captured 'state' of the data processing system's resources is maintained in real-time, while the impact on the system's performance in providing such information is kept to a minimum. This is accomplished through a combination of various techniques, including specialized device drivers for the respective devices coupled with a unique data reduction technique. Such techniques include filtering only events which are of interest and combining similarly related events to reduce data processing requirements. This real-time support provides an immediate and accurate representation of the internal operations of the data processing system. Further, these resources can monitored at the process level of a multiprocessing system. This captured data can be used by an application or control program to identify, isolate, and fine-tune the data processing system's resources to improve the overall efficiency of the system being monitored.
Abstract:
컨트롤러의 동작 방법은 SPO(Sudden Power Off) 발생 후 파워 온 되면, 메모리 장치의 리드 그룹들 중에서 선택된 제1리드 그룹에 저장된 제1데이터들을 리드하는 단계; 및 상기 제1데이터들의 각각의 에러 비트 데이터의 개수에 기초하여 상기 제1데이터들의 각각에 대한 리클레임 동작을 수행하는 단계;를 포함한다.