The use of a cluster for distributed performance analy-sis of parallel trace data is discussed. We propose an analy-sis architecture that uses multiple cluster nodes as a server to execute analysis operations in parallel and communi-cate to remote clients where performance visualization and user interactions occur. The client-server system devel-oped, VNG, is highly configurable and is shown to perform well for traces of large size, when compared to lead-ing trace visualization systems
Many organizations routinely analyze large datasets using systems for distributed data-parallel proc...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
In this paper we describe the architecture of PerfMC, a performance monitoring system for clusters o...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
Fundamental to the development and use of parallel and distributed systems is the ability to observe...
For distributed real-time systems, adequate profiling tools are exceedingly rare. The sheer variety ...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Large scale computer clusters have during the last years become dominant for making computations in ...
Often parallel scientific applications are instrumented and traces are collected and analyzed to ide...
With larger and larger systems being constantly deployed, trace-based performance analysis of paral...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
Abstract. The paper presents the design and development of an on-line remote trace measurement and a...
High Performance Computing and Supercomputing is the high end area of the computing science that stu...
AbstractThe task of performance analysis and optimization grows more and more challenging with the i...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Many organizations routinely analyze large datasets using systems for distributed data-parallel proc...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
In this paper we describe the architecture of PerfMC, a performance monitoring system for clusters o...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
Fundamental to the development and use of parallel and distributed systems is the ability to observe...
For distributed real-time systems, adequate profiling tools are exceedingly rare. The sheer variety ...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Large scale computer clusters have during the last years become dominant for making computations in ...
Often parallel scientific applications are instrumented and traces are collected and analyzed to ide...
With larger and larger systems being constantly deployed, trace-based performance analysis of paral...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
Abstract. The paper presents the design and development of an on-line remote trace measurement and a...
High Performance Computing and Supercomputing is the high end area of the computing science that stu...
AbstractThe task of performance analysis and optimization grows more and more challenging with the i...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Many organizations routinely analyze large datasets using systems for distributed data-parallel proc...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
In this paper we describe the architecture of PerfMC, a performance monitoring system for clusters o...