Nowadays, mobile devices are suffering from limited computational resource. To increase capabilities of mobile devices, many efforts have been made to offload computation from mobile devices to resourceful servers. However, most of the approaches are only capable of offloading computation to CPUs. Recently, GPUs have received a lot of attention from the scientific community. Indeed, the exceptional parallel computing capabilities of GPUs can be used to accelerate different types of applications. In this thesis, we propose a computation offloading framework based on OpenCL – a standard for GPU computing. Our framework transparently offloads OpenCL workloads from mobile devices to an available OpenCL compatible device. We deployed our framewo...
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framew...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Porting a computationally demanding CUDA application to a GPU designed for mobile phones and tablets...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
Modern mobile devices are often required to process multiple computationally intensive applications ...
Using the GPUs embedded in mobile devices allows for increasing the performance of the applications ...
GPUs traditionally offer high computational capabilities, frequently higher than their CPU counterpa...
The amount of resource-restricted devices is increasing rapidly with the common adoption of mobile p...
The goal of this research project is to study the feasibility of computation o oading in mobile dev...
This work discusses available approaches for programming graphic hardware as a platform for executin...
Abstract—Consumers of personal devices such as desktops, tablets, or smart phones run applications b...
In this work, we evaluate OpenCL as a programming tool for developing performance-portable applicati...
This paper presents the implementation of a HTCondor pool with GPU execution capabilities through Op...
Offloading the most demanding parts of applications to an edge GPU server cluster to save power or i...
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framew...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Porting a computationally demanding CUDA application to a GPU designed for mobile phones and tablets...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
Modern mobile devices are often required to process multiple computationally intensive applications ...
Using the GPUs embedded in mobile devices allows for increasing the performance of the applications ...
GPUs traditionally offer high computational capabilities, frequently higher than their CPU counterpa...
The amount of resource-restricted devices is increasing rapidly with the common adoption of mobile p...
The goal of this research project is to study the feasibility of computation o oading in mobile dev...
This work discusses available approaches for programming graphic hardware as a platform for executin...
Abstract—Consumers of personal devices such as desktops, tablets, or smart phones run applications b...
In this work, we evaluate OpenCL as a programming tool for developing performance-portable applicati...
This paper presents the implementation of a HTCondor pool with GPU execution capabilities through Op...
Offloading the most demanding parts of applications to an edge GPU server cluster to save power or i...
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framew...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...