Add to ORKG151 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.According to the results of our study, by integrating compilation, performance analysis and symbolic manipulation tools, it is possible to correctly predict, in an automated fashion, the major performance variations of a data parallel program written in a high-level language.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
151 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.According to the results of o...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Many applied scientific domains are increasingly relying on large-scale parallel computation. Conseq...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Performance prediction is necessary and crucial in order to deal with multi-dimensional performance ...
While computers with tens of thousands of processors have successfully delivered high performance po...
While computers with tens of thousands of processors have successfully delivered high performance po...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
151 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.According to the results of o...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Many applied scientific domains are increasingly relying on large-scale parallel computation. Conseq...
As computers with tens of thousands of processors successfully deliver high performance power for so...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
Performance prediction is necessary and crucial in order to deal with multi-dimensional performance ...
While computers with tens of thousands of processors have successfully delivered high performance po...
While computers with tens of thousands of processors have successfully delivered high performance po...
Context. Today’s parallel systems are widely used in different computational tasks. Developing paral...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
Introduction In general, a parallel computer is a computer that has multiple processors connected b...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...