Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel applications on large HPC systems. And just running an application on a system and observing wallclock time tells you nothing about why the application performs as it does (and is anyway impossible on yet-to-be-built systems). Here we present a framework for performance modeling and prediction that is faster than cycle-accurate simulation, more informative than simple benchmarking, and is shown useful for performance investigations in several dimensions.
Performance prediction is a useful thing to do to help parallel programmers answer questions such as...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Performance modeling, the science of understanding and predicting application performance, is import...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
This paper presents a performance modeling methodology that is faster than traditional cycle-accurat...
This paper presents a simulation-based performance prediction framework for large scale data-intensi...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
Abstract—Performance predictions for large problem sizes and processors using limited small scale ru...
This paper describes technical advances that have enabled a framework for performance modeling to be...
Software development for High Performance (parallel /distributed) Computing (HPC) is a non-trivial p...
High-performance computing is essential for solving large problems and for reducing the time to solu...
A method is presented for modeling application performance on parallel computers in terms of the per...
Model-based performance prediction for parallel applications on architectural models suffers from si...
Abstract: Performance is one of the key features of parallel and distributed computing systems. Ther...
Predicting sequential execution blocks of a large scale parallel application is an essential part of...
Performance prediction is a useful thing to do to help parallel programmers answer questions such as...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Performance modeling, the science of understanding and predicting application performance, is import...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
This paper presents a performance modeling methodology that is faster than traditional cycle-accurat...
This paper presents a simulation-based performance prediction framework for large scale data-intensi...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
Abstract—Performance predictions for large problem sizes and processors using limited small scale ru...
This paper describes technical advances that have enabled a framework for performance modeling to be...
Software development for High Performance (parallel /distributed) Computing (HPC) is a non-trivial p...
High-performance computing is essential for solving large problems and for reducing the time to solu...
A method is presented for modeling application performance on parallel computers in terms of the per...
Model-based performance prediction for parallel applications on architectural models suffers from si...
Abstract: Performance is one of the key features of parallel and distributed computing systems. Ther...
Predicting sequential execution blocks of a large scale parallel application is an essential part of...
Performance prediction is a useful thing to do to help parallel programmers answer questions such as...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Performance modeling, the science of understanding and predicting application performance, is import...