Path-Based Error Coverage Prediction

نویسندگان

  • Joakim Aidemark
  • Peter Folkesson
  • Johan Karlsson
چکیده

We present an analytical technique that uses fault injection data for estimating the coverage of concurrent error detection mechanisms in microprocessors. A major problem in such estimations is that the coverage depends on the program executed by the microprocessor as well as the input sequence to the program. We propose a method that predicts the error coverage for a specified input sequence based on fault injection data obtained for another input sequence. Our results show that postinjection analysis is a promising approach for reducing the cost of coverage estimation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Neural Network based Model for Signal Coverage Propagation Loss Prediction in Urban Radio Communication Environment

For proper planning and optimisation of radio network coverage quality at the mobile station terminals, prediction of propagation path loss with reasonable accuracy is important. This research work proposes the application of a hybrid neural modelling technique to predict of signal coverage propagation losses in typical urban environment. The modelling technique is based on combining a conventi...

متن کامل

Dynamic Symbolic Execution with Interpolation Based Path Merging

This paper presents a dynamic symbolic execution engine for automated bug detection in C code. It uses path merging based on interpolation with unsatisfiable cores to mitigate the exponential path explosion problem. Code coverage can be scaled by varying the interpolation. An algorithm for error and branch coverage is described. The implementation extends Eclipse CDT. It is evaluated on buffer ...

متن کامل

Applications of General Regression Neural Networks for Path Loss Prediction

This paper presents the results of the General Regression Neural Networks applications for the prediction of propagation path loss in a specific urban environment. We have studied two neural network models; the first one is used for path loss prediction while the second one is a prediction model using error control. The performances of the neural models are compared to the path loss values meas...

متن کامل

Considering Workload Input Variations in Error Coverage Estimation

The effects of variations in the workload input when estimating error detection coverage using fault injection are investigated. Results from scanchain implemented fault injection experiments using the FIMBUL tool on the Thor microprocessor show that the estimated error non-coverage may vary by more than five percentage units for different workload input sequences. A methodology for predicting ...

متن کامل

Applications of generalized RBF-NN for path loss prediction

This paper presents the results of the Generalized Radial Basis Function Neural Networks applications for the prediction of propagation path loss in urban and suburban environment. We have studied two types of neural network based models; the first one is used for path loss prediction while the second one is a hybrid prediction model based on error control. The performances of the neural models...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Electronic Testing

دوره 18  شماره 

صفحات  -

تاریخ انتشار 2001