Abstract: Sorting is one of the most well-known problems in computer science and is frequently used for benchmarking computer systems. It can contribute significantly to the overall execution time of a process in a computer system. Dedicated sorting architectures can be used to accelerate applications and/or to reduce energy consumption. In this paper, we propose an efficient sorting network aiming at accelerating the sorting operation in FPGA-based embedded systems. The proposed sorting network is implemented based on an Optimized Odd-even sorting method (O2) using fully pipelined combinational logic architecture and ring shape processing. Consequently, O2 generates the sorted array of numbers in parallel when the input array of numbers i...
The paper suggests a technique for fast data sort based on a specially organized binary searching ne...
Popular sorting algorithms do not translate well into hardware implementations. Instead, hardware-ba...
Sorting algorithms have been studied extensively since past three decades. Their uses are found in m...
Sorting is one of the most well-known problems in computer science and is frequently used for benchm...
The paper is dedicated to parallel data sort based on sorting networks. The proposed methods and cir...
In hardware such as FPGAs, Kenneth Batcher’s Odd-Even Merge Sort and Bitonic Merge Sort are t...
AbstractÐWe present a hardware-algorithm for sortingN elements using either a p-sorter or a sorting ...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
Novel"manycore" architectures, such as graphics processors, are high-parallel and high-performance s...
Sorting huge data requires an enormous amount of time. The time needed for this task can be minimise...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
In this dissertation, a novel approach to on-line error detection and correction for high throughput...
The paper suggests a technique for fast data sort based on a specially organized binary searching ne...
Popular sorting algorithms do not translate well into hardware implementations. Instead, hardware-ba...
Sorting algorithms have been studied extensively since past three decades. Their uses are found in m...
Sorting is one of the most well-known problems in computer science and is frequently used for benchm...
The paper is dedicated to parallel data sort based on sorting networks. The proposed methods and cir...
In hardware such as FPGAs, Kenneth Batcher’s Odd-Even Merge Sort and Bitonic Merge Sort are t...
AbstractÐWe present a hardware-algorithm for sortingN elements using either a p-sorter or a sorting ...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
This paper presents a comparative analysis of the three widely used parallel sorting algorithms: Odd...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
Novel"manycore" architectures, such as graphics processors, are high-parallel and high-performance s...
Sorting huge data requires an enormous amount of time. The time needed for this task can be minimise...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
In this dissertation, a novel approach to on-line error detection and correction for high throughput...
The paper suggests a technique for fast data sort based on a specially organized binary searching ne...
Popular sorting algorithms do not translate well into hardware implementations. Instead, hardware-ba...
Sorting algorithms have been studied extensively since past three decades. Their uses are found in m...