AbstractIn this paper we describe an approach used to study the functional aspects and estimate the performance of large (read “ten times more cores than currently available”) cluster computing system configurations running MPI applications. A combination of a functional simulation, performance models, traces analysis and real-world measurements is used to achieve these goals. We also present the first results of applying this methodology to actual applications of interest
Abstract—Performance is a key feature of large-scale com-puting systems. However, the achieved perfo...
International audienceEstimating the potential performance of parallel applicationson the yet-to-be-...
International audienceDACCOSIM is a multi-simulation environment for continuous time systems, relyin...
AbstractIn this paper we describe an approach used to study the functional aspects and estimate the ...
In High Performance Computing (HPC) system design and deployment there is an increasing trend toward...
Fundamental to the development and use of parallel and distributed systems is the ability to observe...
Clusters have been an area of vast research in the domain of High Performance Computing and a variet...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
Although cluster environments have an enormous potential processing power, real applications that ta...
This paper addresses the problem of performance modeling for large-scale heterogeneous distributed s...
In this paper the authors present performance results from several parallel benchmarks and applicati...
Loosely coupled applications composed of a potentially very large number (from tens of thousands to ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
The requirement for High Performance Computing (HPC) have increased dramatically over the years. Par...
As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of par...
Abstract—Performance is a key feature of large-scale com-puting systems. However, the achieved perfo...
International audienceEstimating the potential performance of parallel applicationson the yet-to-be-...
International audienceDACCOSIM is a multi-simulation environment for continuous time systems, relyin...
AbstractIn this paper we describe an approach used to study the functional aspects and estimate the ...
In High Performance Computing (HPC) system design and deployment there is an increasing trend toward...
Fundamental to the development and use of parallel and distributed systems is the ability to observe...
Clusters have been an area of vast research in the domain of High Performance Computing and a variet...
Execution of course grain parallel programs in PC clusters promises super-computer performance in lo...
Although cluster environments have an enormous potential processing power, real applications that ta...
This paper addresses the problem of performance modeling for large-scale heterogeneous distributed s...
In this paper the authors present performance results from several parallel benchmarks and applicati...
Loosely coupled applications composed of a potentially very large number (from tens of thousands to ...
This work describes a novel way to select the best computer node out of a pool of available potentia...
The requirement for High Performance Computing (HPC) have increased dramatically over the years. Par...
As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of par...
Abstract—Performance is a key feature of large-scale com-puting systems. However, the achieved perfo...
International audienceEstimating the potential performance of parallel applicationson the yet-to-be-...
International audienceDACCOSIM is a multi-simulation environment for continuous time systems, relyin...