Efficient performance tuning of parallel programs is often hard. Optimization is often done when the program is written as a last effort to increase the performance. With sequential programs each (executed) code segment will affect the total execution time of the program. Thus, any code segment that is optimized in a sequential program will decrease the execution time. In the case of a parallel program executed on a multiprocessor this is not always true. This is due to dependencies between the different threads. As a result, certain code segments of the execution may not affect the total execution time of the program. Thus, optimization of such code segments will not increase the performance. In this paper we present a new approach to perf...
The years of practice in optimizing applications point that the major issue is focus - identifying t...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
Critical sections are well known potential performance bottlenecks in multithreaded applications and...
Efficient performance tuning of parallel programs is often hard. Optimization is often done when the...
A programming tool that performs analysis of critical paths for parallel programs has been developed...
The performance of a computer system is important. One way of improving performance is to use multip...
Program activity graphs (PAGs) can be constructed from timestamped traces of appropriate execution e...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
Modern processors remove many artificial constraints on instruction ordering,permitting multiple ins...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
Abstract. I consider the problem of the domain-specific optimization of programs. I review different...
Due to the character of the original source materials and the nature of batch digitization, quality ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Abstract. Understanding and optimizing the synchronization opera-tions of parallel programs in distr...
The years of practice in optimizing applications point that the major issue is focus - identifying t...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
Critical sections are well known potential performance bottlenecks in multithreaded applications and...
Efficient performance tuning of parallel programs is often hard. Optimization is often done when the...
A programming tool that performs analysis of critical paths for parallel programs has been developed...
The performance of a computer system is important. One way of improving performance is to use multip...
Program activity graphs (PAGs) can be constructed from timestamped traces of appropriate execution e...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
Modern processors remove many artificial constraints on instruction ordering,permitting multiple ins...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
Abstract. I consider the problem of the domain-specific optimization of programs. I review different...
Due to the character of the original source materials and the nature of batch digitization, quality ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Abstract. Understanding and optimizing the synchronization opera-tions of parallel programs in distr...
The years of practice in optimizing applications point that the major issue is focus - identifying t...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
Critical sections are well known potential performance bottlenecks in multithreaded applications and...