The contemporary large scale measuring systems in the real-time environment make extensive use of histogramming as a tool for the experimental data quality monitoring. The processing of a large number of data channels requires a suitable computing power where the graphical processors seem to be well suited. Histogramming operations run on the central and graphics processing units are discussed. Results of the performance measurements including various configurations of the allocation of the histograms in various parts of the memory of used devices are presented
Pattern matching is an important task in a plethora of different fields ranging from computer scienc...
One of the main challenges in Heavy Energy Physics is to make fast analysis of high amount of experi...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
Histogramming is a technique by which input datasets are mined to extract features and patterns. His...
The performance of intelligent data acquisition systems relies heavily on their processing capabilit...
Using the histogram procedure, this work studies performance determining factors in computing in par...
Abstract—We present two efficient histogram algorithms de-signed for NVIDIA’s compute unified device...
In a world heading towards applications, in science and industry, based on big data processing, the ...
Graphical Processing Units (GPUs) have evolved into highly parallel, multi-threaded, multicore power...
cUniversity of Padova dFNAL eORMA Software Graphical Processing Units (GPUs) have evolved into highl...
Graphics Processing Units (GPU) are increasingly being used for general-purpose programming, instead...
We describe a pilot project for the use of Graphics Processing Units (GPUs) for online triggering ap...
Histogramming is a tool commonly used in data analysis. Although its serial version is simple to imp...
Pattern matching is an important task in a plethora of different fields ranging from computer scienc...
One of the main challenges in Heavy Energy Physics is to make fast analysis of high amount of experi...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
Histogramming is a technique by which input datasets are mined to extract features and patterns. His...
The performance of intelligent data acquisition systems relies heavily on their processing capabilit...
Using the histogram procedure, this work studies performance determining factors in computing in par...
Abstract—We present two efficient histogram algorithms de-signed for NVIDIA’s compute unified device...
In a world heading towards applications, in science and industry, based on big data processing, the ...
Graphical Processing Units (GPUs) have evolved into highly parallel, multi-threaded, multicore power...
cUniversity of Padova dFNAL eORMA Software Graphical Processing Units (GPUs) have evolved into highl...
Graphics Processing Units (GPU) are increasingly being used for general-purpose programming, instead...
We describe a pilot project for the use of Graphics Processing Units (GPUs) for online triggering ap...
Histogramming is a tool commonly used in data analysis. Although its serial version is simple to imp...
Pattern matching is an important task in a plethora of different fields ranging from computer scienc...
One of the main challenges in Heavy Energy Physics is to make fast analysis of high amount of experi...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...