The performance of an applications program running on a parallel machine is affected by several factors such as the algorithm, the programming language, the compiler and the operating system. Performance evaluation of parallel machines requires quick and easy-to-use analysis of large amounts of data. This paper describes a performance evaluation tool built for Monsoon, a multithreaded multiprocessor machine built by Motorola in collaboration with MIT. The tool offers integrated data collection, analysis and visualization and is designed to be simple but powerful. Software layers built on top of simple hardware monitors offers a flexible, yet non-intrusive performance evaluation tool. Examples of successful use of the tool by both systems an...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The primary motivation behind building multiprocessors is to cost-effectively improve system perform...
Bibliography: pages 110-115.The performance analysis of parallel programs is a complex task, particu...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance is a critical issue in current massively parallel processors. However, delivery of adequ...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Computers perform different applications in different ways. To characterize an application performan...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
Efficient performance tuning of parallel programs is often hard. In this paper we describe an approa...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The primary motivation behind building multiprocessors is to cost-effectively improve system perform...
Bibliography: pages 110-115.The performance analysis of parallel programs is a complex task, particu...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance is a critical issue in current massively parallel processors. However, delivery of adequ...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
Computers perform different applications in different ways. To characterize an application performan...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
Efficient performance tuning of parallel programs is often hard. In this paper we describe an approa...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...