Quality of applications that includes robustness, real time response, and accurate performance has become a vital property for current applications. Among other existing solutions for such problems, parallel computing is a trending solution. Sorting is one of the main parts in almost every algorithm and various parallel sorting techniques have employed parallel architectures to do a qualified sorting. Gaining the best based on various different factors where speedup is the premier, is a topic of discussion. In this paper, we have issued the generalization of SOCD sort on the novel Centralized Diamond architecture which benefits from Single Instruction Multiple Data (SIMD) architecture with a time complexity of O (logn) on PRAM EREW(Parallel...
Abstract. We give a parallel implementation of merge sort on a CREW PRAM that uses n processors and ...
Tyt. z nagłówka.Pozostali autorzy artykułu: Marcin Pietroń, Maciej Wielgosz, Kaziemierz Wiatr.Biblio...
Sorting is one of the most fundamental algorithmic kernels, used by a large fraction of computer app...
Many sorting algorithms have been studied in the past, but there are only a few algorithms that can ...
(eng) Cole presented a parallel merge sort for the PRAM model that performs in log n parallel steps ...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
Ever since its introduction, Sorting Network has been an active field of study. They can be efficien...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
In this paper, we propose a taxonomy of parallel sorting that includes a broad range of array and f...
Abstract. The Parallel Disks Model (PDM) has been proposed to al-leviate the I/O bottleneck that ari...
Abstract — Sorting is a commonly used process with a wide breadth of applications in the high perfor...
We describe the design of high-performance parallel radix sort and merge sort routines for manycore ...
Abstract. We give a parallel implementation of merge sort on a CREW PRAM that uses n processors and ...
Tyt. z nagłówka.Pozostali autorzy artykułu: Marcin Pietroń, Maciej Wielgosz, Kaziemierz Wiatr.Biblio...
Sorting is one of the most fundamental algorithmic kernels, used by a large fraction of computer app...
Many sorting algorithms have been studied in the past, but there are only a few algorithms that can ...
(eng) Cole presented a parallel merge sort for the PRAM model that performs in log n parallel steps ...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
Ever since its introduction, Sorting Network has been an active field of study. They can be efficien...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
In this paper, we propose a taxonomy of parallel sorting that includes a broad range of array and f...
Abstract. The Parallel Disks Model (PDM) has been proposed to al-leviate the I/O bottleneck that ari...
Abstract — Sorting is a commonly used process with a wide breadth of applications in the high perfor...
We describe the design of high-performance parallel radix sort and merge sort routines for manycore ...
Abstract. We give a parallel implementation of merge sort on a CREW PRAM that uses n processors and ...
Tyt. z nagłówka.Pozostali autorzy artykułu: Marcin Pietroń, Maciej Wielgosz, Kaziemierz Wiatr.Biblio...
Sorting is one of the most fundamental algorithmic kernels, used by a large fraction of computer app...