Proposed is a unique cell histogram architecture which will process k data items in parallel to compute 2q histogram bins per time step. An array of m/2q cells computes an m-bin histogram with a speed-up factor of k; k ⩾ 2 makes it faster than current dual-ported memory implementations. Furthermore, simple mechanisms for conflict-free storing of the histogram bins into an external memory array are discussed
This work first reviews an already-developed, existing deterministic parallel algorithm to compute t...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
This work first reviews an already-developed, existing deterministic parallel algorithm [1] to compu...
Proposed is a unique cell histogram architecture which will process k data items in parallel to comp...
[[abstract]]The real-time parallel computation of histograms using an array of pipelined cells is pr...
The real-time parallel computation of histograms using an array of pipelined cells is proposed and p...
A parallel pipelined array of cells suitable for real-time computation of histograms is proposed. Th...
A parallel pipelined array of cells suitable for realtime computation of histograms is proposed. The...
Histograms are used in various fields to quickly profile the distribution of a large amount of data....
A parallel formulation of an algorithm for the histogram computation of n data items using an on-the...
In this paper, a new method to compute the image histogram is presented, along with the image maximu...
Histogramming is a technique by which input datasets are mined to extract features and patterns. His...
Histogramming is a tool commonly used in data analysis. Although its serial version is simple to imp...
This paper presents efficient and portable implementations of two useful primitives in image pro...
Abstract—We present two efficient histogram algorithms de-signed for NVIDIA’s compute unified device...
This work first reviews an already-developed, existing deterministic parallel algorithm to compute t...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
This work first reviews an already-developed, existing deterministic parallel algorithm [1] to compu...
Proposed is a unique cell histogram architecture which will process k data items in parallel to comp...
[[abstract]]The real-time parallel computation of histograms using an array of pipelined cells is pr...
The real-time parallel computation of histograms using an array of pipelined cells is proposed and p...
A parallel pipelined array of cells suitable for real-time computation of histograms is proposed. Th...
A parallel pipelined array of cells suitable for realtime computation of histograms is proposed. The...
Histograms are used in various fields to quickly profile the distribution of a large amount of data....
A parallel formulation of an algorithm for the histogram computation of n data items using an on-the...
In this paper, a new method to compute the image histogram is presented, along with the image maximu...
Histogramming is a technique by which input datasets are mined to extract features and patterns. His...
Histogramming is a tool commonly used in data analysis. Although its serial version is simple to imp...
This paper presents efficient and portable implementations of two useful primitives in image pro...
Abstract—We present two efficient histogram algorithms de-signed for NVIDIA’s compute unified device...
This work first reviews an already-developed, existing deterministic parallel algorithm to compute t...
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image proc...
This work first reviews an already-developed, existing deterministic parallel algorithm [1] to compu...