We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomputer Center (BSC). With this, we want to show how two complex applications can be efficiently ported to GPUs. In addition, we have developed a mechanism to manage the coherency of CPU/GPU memories
This thesis explores the possibility of utilizing Graphics Processing Units (GPUs) to address the co...
Future high-performance computing systems will be hybrid; they will include processors optimized for...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomput...
Many of today's complex scientific applications now require a vast amount of computational power. Ge...
GPUs have emerged as a powerful tool for accelerating general-purpose applications. The availability...
The programming of GPUs (Graphics Processing Units) is ready for practical applications; the largest...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
The rate of scientific discovery depends on the speed at which accurate results and analysis can be...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
Abstract. General purpose computing on graphic processing units (GPU) is a potential method of speed...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
This thesis explores the possibility of utilizing Graphics Processing Units (GPUs) to address the co...
Future high-performance computing systems will be hybrid; they will include processors optimized for...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomput...
Many of today's complex scientific applications now require a vast amount of computational power. Ge...
GPUs have emerged as a powerful tool for accelerating general-purpose applications. The availability...
The programming of GPUs (Graphics Processing Units) is ready for practical applications; the largest...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
The rate of scientific discovery depends on the speed at which accurate results and analysis can be...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
Abstract. General purpose computing on graphic processing units (GPU) is a potential method of speed...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
This thesis explores the possibility of utilizing Graphics Processing Units (GPUs) to address the co...
Future high-performance computing systems will be hybrid; they will include processors optimized for...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...