There is little doubt that performance issues play an important role in web applications. Only few situations are as boring as sitting at a computer facing a web browser and waiting for a (usually dynamically generated) web page to appear. This paper discusses important aspects of empirical performance evaluation and tuning, which can be a rather complex task because of the standard structure o...

Efficient performance tuning of parallel programs is often hard. In this paper we describe an approach that uses a uni-processor execution of a multithreaded program as reference to simulate a multiprocessor execution. The speed-up is predicted, and the program behaviour is visualized as a graph, which can be used in the performance tuning process. The simulator considers scheduling as well as ...

Automatic performance tuning of computationally intensive kernels in scientific applications is a promising approach to achieving good performance on different computing architectures while preserving the kernel implementation’s readability and portability. A major bottleneck in automatic performance tuning is the computation time required to test a large number of possible code variants, which...

In this paper, we describe a compilation system that automates much of the process of performance tuning that is currently done manually by application programmers interested in high performance. Due to the growing complexity of accurate performance prediction, our system incorporates empirical techniques to execute variants of code segments with representative data on the target architecture. ...

in recent years, soft computing methods have generated a large research interest. the synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. a particular evolutionary algorithm (ea) is differential evolution (de). as for any ea, de algorithm also requires parameters tuning to achieve desirable performance. in this paper tuning the perturbation factor vector of de ...

Performance stability is an essential feature for the widespread adoption of multicomputers. In this paper, we report the preliminary steps of our research in performance prediction and extrapolation. Performance tuning, guided by extrapolation, may help achieve a substantial fraction of peak performance rates across a broader range of applications while providing guidance for code porting. We ...

This article presents an overview of a long-term research work with a rule system for the automatic performance of music. The performance rules produce deviations from the durations, sound levels, and pitches nominally specified in the music score. They can be classified according to their apparent musical function: to help the listener ( I ) in the differentiation of different pitch and durati...

In this paper, we propose a learning approach to adaptive performance tuning of database applications. The objective is to validate the opportunity to devise a tuning strategy that does not need prior knowledge of a cost model. Instead, the cost model is learned through reinforcement learning. We instantiate our approach to the use case of index tuning. We model the execution of queries and upd...

General-purpose, high-availability database systems have lately proliferated to various network element platforms. In telecommunication, databases are expected to meet demanding availability levels while preserving the required throughput. However, so far, the effects of various high-availability configurations on overall database performance have not been analyzed. In this paper, the operation...