La tesi affronta il problema della modellazione dei consumi energetici in computazioni data parallel (map) in architetture con GPU. I modelli sviluppati sono utilizzati per valutare il compromesso tra performance e consumi. La tesi include risultati sperimentali che validano sia i modelli sviluppati che la metodologia di ricerca di un compromesso tra prestazioni e consumi
The objective of the proposed research is to develop an analytical model that predicts performance a...
In the last years the power consumption of high performance computing clusters has become a growing ...
Nowadays, reducing energy consumption and improving the energy efficiency of computing systems becom...
Modern High-Performance Computing HPC systems are gradually increasing in size and complexity due to...
The aim of my thesis is to parallelize the Weighting Histogram Analysis Method (WHAM), which is a po...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
Shared memory architectures are widely taking place. Following the structured parallel programming a...
The rapid development in the capability of hardware components of computational systems has led to a...
Graphs are a common representation in many problem domains, including engineering, finance, medicine...
We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomput...
Although high-performance computing traditionally focuses on the efficient execution of large-scale ...
The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the rel...
During the past decades, High-Performance Computing (HPC) has been widely used in various industries...
The High-Performance Computing (HPC) community is currently undergoingdisruptive technology changes ...
With energy consumption emerging as one of the biggest issues in the development of HPC (High Perfor...
The objective of the proposed research is to develop an analytical model that predicts performance a...
In the last years the power consumption of high performance computing clusters has become a growing ...
Nowadays, reducing energy consumption and improving the energy efficiency of computing systems becom...
Modern High-Performance Computing HPC systems are gradually increasing in size and complexity due to...
The aim of my thesis is to parallelize the Weighting Histogram Analysis Method (WHAM), which is a po...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
Shared memory architectures are widely taking place. Following the structured parallel programming a...
The rapid development in the capability of hardware components of computational systems has led to a...
Graphs are a common representation in many problem domains, including engineering, finance, medicine...
We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomput...
Although high-performance computing traditionally focuses on the efficient execution of large-scale ...
The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the rel...
During the past decades, High-Performance Computing (HPC) has been widely used in various industries...
The High-Performance Computing (HPC) community is currently undergoingdisruptive technology changes ...
With energy consumption emerging as one of the biggest issues in the development of HPC (High Perfor...
The objective of the proposed research is to develop an analytical model that predicts performance a...
In the last years the power consumption of high performance computing clusters has become a growing ...
Nowadays, reducing energy consumption and improving the energy efficiency of computing systems becom...