Regression-Based Prediction for Task-Based Program Performance

Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction

Task graphs and their equivalents have proved to be a valuable abstraction for representing the execution of parallel programs in a number of different applications. Perhaps the most widespread use of task graphs has been for performance modeling of parallel programs, including quantitative analytical models [3, 19, 25, 26, 27], theoretical and abstract analytical models [14], and program simul...

application of upfc based on svpwm for power quality improvement

در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...

Program Optimization Based on Compile-Time Cache Performance Prediction

We present a novel, compile-time method for determining the cache performance of the loop nests in a program. The cache-miss rates are produced by applying the program's reference string of a loop nest, determined during compilation, to an architecturally parameterized cache simulator. The obtained cache-miss rates correlate well with the performance of the loop nests on actual target machines....

M.K.: Parallel program performance prediction using deterministic task graph analysis

Utility-based Performance Measures for Regression

Costs and benefits are of key importance for most real-world data mining applications. The main work carried out within ML/DM on cost-sensitive learning has been centered on classification tasks. Nevertheless, there are many real-world regression applications where costs and/or benefits of the predictions play an important role. On such applications, the costs and/or benefits of a prediction ca...