Add to ORKGMathematicians and computational scientists are often limited in their ability to model complex phenomena by the time it takes to run simulations. This thesis will inform interested researchers on how the development of highly parallel computer graphics hardware and the compiler frameworks to exploit it are expanding the range of algorithms that can be explored on affordable commodity hardware. We will discuss the complexities that have prevented researchers from exploiting advanced hardware as well as the obstacles that remain for the non-computer scientist
The goal of our research is to decrease the execution time of scientific computing applications. We ...
Computers almost always contain one or more central processing units (CPU), each of which processes ...
Graphics Processing Unit (GPU) performance is increasing faster than central processing unit (CPU) p...
Mathematicians and computational scientists are often limited in their ability to model complex phen...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
GPGPUs offer significant computational power for programmers to leverage. This computational power i...
As parallel computing resources have been too expensive for most of the CAGD community, efficient im...
thesisAt the beginning of the 21st century, it became apparent that the performance gains associated...
This dissertation maps various kernels and applications to a spectrum of programming models and arch...
The present state of electronic technology is such that factors affecting computation speed have alm...
For several decades, computer scientists have sought guidance on how to evolve architectures, langua...
<p>Heterogeneous processors with accelerators provide an opportunity to improve performance within a...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The research presented in this thesis investigates parallel implementations of the Fast Sweeping Met...
Four paradigms that can be useful in developing parallel algorithms are discussed. These include com...
The goal of our research is to decrease the execution time of scientific computing applications. We ...
Computers almost always contain one or more central processing units (CPU), each of which processes ...
Graphics Processing Unit (GPU) performance is increasing faster than central processing unit (CPU) p...
Mathematicians and computational scientists are often limited in their ability to model complex phen...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
GPGPUs offer significant computational power for programmers to leverage. This computational power i...
As parallel computing resources have been too expensive for most of the CAGD community, efficient im...
thesisAt the beginning of the 21st century, it became apparent that the performance gains associated...
This dissertation maps various kernels and applications to a spectrum of programming models and arch...
The present state of electronic technology is such that factors affecting computation speed have alm...
For several decades, computer scientists have sought guidance on how to evolve architectures, langua...
<p>Heterogeneous processors with accelerators provide an opportunity to improve performance within a...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The research presented in this thesis investigates parallel implementations of the Fast Sweeping Met...
Four paradigms that can be useful in developing parallel algorithms are discussed. These include com...
The goal of our research is to decrease the execution time of scientific computing applications. We ...
Computers almost always contain one or more central processing units (CPU), each of which processes ...
Graphics Processing Unit (GPU) performance is increasing faster than central processing unit (CPU) p...