For distributed real-time systems, adequate profiling tools are exceedingly rare. The sheer variety and low-level nature of these systems impede the adoption of standard, general-purpose tools for performance analysis and visualization. Although much research has been devoted to profiling parallel clusters and supercomputers, the literature virtually ignores the real-time domain. Correspondingly, a handful of commercial tools is available for profiling realtime software, but they invariably make a single-node assumption and are unable to cope with distributed environments. We examine the state of performance analysis and discuss why profilers are conspicuously absent in the field of distributed real-time systems. We then explore how develop...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
Parallel computer systems are among the most complex of man's creations, making satisfactory perform...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
For distributed real-time systems, adequate profiling tools are exceedingly rare. The sheer variety ...
Distributed, real-time, and embedded (DRE) systems are becoming increasingly complex, and as a resul...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
The use of a cluster for distributed performance analy-sis of parallel trace data is discussed. We p...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
The scalability of performance tools in high performance computing has been lagging behind the growt...
The primary motivation behind building multiprocessors is to cost-effectively improve system perform...
Performance-analysis tools are indispensable for understanding and optimizing the behavior of parall...
Input-sensitive profiling is a recent methodology for analyzing how the performance of a routine sca...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance Analysis is essential to fully exploit the potential of high-performance computers. With...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
Parallel computer systems are among the most complex of man's creations, making satisfactory perform...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
For distributed real-time systems, adequate profiling tools are exceedingly rare. The sheer variety ...
Distributed, real-time, and embedded (DRE) systems are becoming increasingly complex, and as a resul...
A distributed memory concurrent computer (such as a hypercube computer) is inherently a complex syst...
The use of a cluster for distributed performance analy-sis of parallel trace data is discussed. We p...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
The scalability of performance tools in high performance computing has been lagging behind the growt...
The primary motivation behind building multiprocessors is to cost-effectively improve system perform...
Performance-analysis tools are indispensable for understanding and optimizing the behavior of parall...
Input-sensitive profiling is a recent methodology for analyzing how the performance of a routine sca...
, A high-level abstract model 1 lets visualization designers create displays in an integrated enviro...
Performance Analysis is essential to fully exploit the potential of high-performance computers. With...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
Parallel computer systems are among the most complex of man's creations, making satisfactory perform...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...