10.1109/TCAD.2010.2042887IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems294538-551ITCS
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
Modern embedded devices are increasingly becoming multiprocessor with the need to support a large nu...
The Statistical Sciences Group at Los Alamos has successfully developed a structured, probabilistic,...
ii The current trend in High-Performance Computing (HPC) is to extract concurrency from clusters tha...
Abstract. The paper presents important probabilistic elements that should be taken into consideratio...
Employing FPGAs for computing purposes requires a mapping process. Although this procedure saves sub...
The quantitative evaluation of certain quality attributes— performance, timeliness, and reliability—...
Model-based performance prediction is a well-known concept to ensure the quality of software.Current...
Heterogeneous performance prediction models are valuable tools to accurately predict application run...
The paper presents important probabilistic elements that should be taken into consideration in the a...
151 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.According to the results of o...
Dans le domaine du calcul de haute performance, les architectures d’exécution sont en continuelle év...
International audienceThis work proposes a methodology for predicting the error rate of applications...
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
Modern embedded devices are increasingly becoming multiprocessor with the need to support a large nu...
The Statistical Sciences Group at Los Alamos has successfully developed a structured, probabilistic,...
ii The current trend in High-Performance Computing (HPC) is to extract concurrency from clusters tha...
Abstract. The paper presents important probabilistic elements that should be taken into consideratio...
Employing FPGAs for computing purposes requires a mapping process. Although this procedure saves sub...
The quantitative evaluation of certain quality attributes— performance, timeliness, and reliability—...
Model-based performance prediction is a well-known concept to ensure the quality of software.Current...
Heterogeneous performance prediction models are valuable tools to accurately predict application run...
The paper presents important probabilistic elements that should be taken into consideration in the a...
151 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.According to the results of o...
Dans le domaine du calcul de haute performance, les architectures d’exécution sont en continuelle év...
International audienceThis work proposes a methodology for predicting the error rate of applications...
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
<p>Prediction performance of 10-fold cross-validation based on different encoding methods.</p
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