Add to ORKGHigh-performance computing is one of the most demanding technologies in today\u27s computational world with a variety of applications such as big data analysis, and solving complex computing algorithm. Engineers have invented multiple technologies such as CPUs, GPUs, GGPUS, FPGAs, clusters and distributed high-performance computational systems for high-performance computing. This research has focused on evaluating GPU and CPU two of the main technologies that could be used in high-performance computing. The researchers have developed a methodology to evaluate the performance of GPU and compare it with CPU under different test subjects. Finally, this research illustrated the power and weaknesses of GPU over the CPU under certain circumstanc...
Data analyze has become very important with growth of information today. There is a need of real-tim...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
The paper introduces an optimized multicore CPU implementation of the genetic algorithm and compares...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerat...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
<p>Comparison of computational performance between the FA-MLR using CPU and GPU.</p
Data analyze has become very important with growth of information today. There is a need of real-tim...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
The paper introduces an optimized multicore CPU implementation of the genetic algorithm and compares...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerat...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
GPGPU (General purpose computing on graphics processing unit) is quite common in today's modern...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
<p>Comparison of computational performance between the FA-MLR using CPU and GPU.</p
Data analyze has become very important with growth of information today. There is a need of real-tim...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...