This paper presents a performance modeling methodology that is faster than traditional cycle-accurate simulation, more sophisticated than performance estimation based on system peak-performance metrics, and is shown to be effective on a class of High Performance Computing PETSc kernels. The method yields insight into the factors that affect performance and scalability on parallel computers. 1
This paper describes technical advances that have enabled a framework for performance modeling to be...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Abstract: Performance is one of the key features of parallel and distributed computing systems. Ther...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
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...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
While computers with tens of thousands of processors have successfully delivered high performance po...
Model-based performance prediction for parallel applications on architectural models suffers from si...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Accurately modeling and predicting performance for large-scale applications becomes increasingly dif...
This paper presents a simulation-based performance prediction framework for large scale data-intensi...
This paper describes technical advances that have enabled a framework for performance modeling to be...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Abstract: Performance is one of the key features of parallel and distributed computing systems. Ther...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel app...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
Performance is one of the key features of parallel and distributed computing systems. Therefore, in ...
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...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
While computers with tens of thousands of processors have successfully delivered high performance po...
Model-based performance prediction for parallel applications on architectural models suffers from si...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Accurately modeling and predicting performance for large-scale applications becomes increasingly dif...
This paper presents a simulation-based performance prediction framework for large scale data-intensi...
This paper describes technical advances that have enabled a framework for performance modeling to be...
High-performance computing is essential for solving large problems and for reducing the time to solu...
Abstract: Performance is one of the key features of parallel and distributed computing systems. Ther...