In this paper, we present FLiMS, a highly-efficient and simple parallel algorithm for merging two sorted lists residing in banked and/or wide memory. On FPGAs, its implementation uses fewer hardware resources than the state-of-the-art alternatives, due to the reduced number of comparators and elimination of redundant logic found on prior attempts. In combination with the distributed nature of the selector stage, a higher performance is achieved for the same amount of parallelism or higher. This is useful in many applications such as in parallel merge trees to achieve high-throughput sorting, where the resource utilisation of the merger is critical for building larger trees and internalising the workload for faster computation. Also presente...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
In this paper we present a simple parallel sorting algorithm and illustrate its application in gener...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...
We have developed a highly-efficient and simple parallel hardware design for merging two sorted list...
This work improves on the latest research about sorting acceleration on FPGAs. An efficient design i...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
Merging and Sorting algorithms are the backbone of many modern computer applica- tions. As such, eff...
In hardware such as FPGAs, Kenneth Batcher’s Odd-Even Merge Sort and Bitonic Merge Sort are t...
We present an efficient, high-throughput and scalable hardware design for accelerating the merge pha...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
Sorting is a kind of widely used basic algorithms. As the high performance computing devices are inc...
Abstract. Merge sort is useful in sorting a great number of data pro-gressively, especially when the...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
In this paper we present a simple parallel sorting algorithm and illustrate two applications. The al...
We design a high-performance parallel merge sort for highly parallel systems. Our merge sort is desi...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
In this paper we present a simple parallel sorting algorithm and illustrate its application in gener...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...
We have developed a highly-efficient and simple parallel hardware design for merging two sorted list...
This work improves on the latest research about sorting acceleration on FPGAs. An efficient design i...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
Merging and Sorting algorithms are the backbone of many modern computer applica- tions. As such, eff...
In hardware such as FPGAs, Kenneth Batcher’s Odd-Even Merge Sort and Bitonic Merge Sort are t...
We present an efficient, high-throughput and scalable hardware design for accelerating the merge pha...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
Sorting is a kind of widely used basic algorithms. As the high performance computing devices are inc...
Abstract. Merge sort is useful in sorting a great number of data pro-gressively, especially when the...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
In this paper we present a simple parallel sorting algorithm and illustrate two applications. The al...
We design a high-performance parallel merge sort for highly parallel systems. Our merge sort is desi...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
In this paper we present a simple parallel sorting algorithm and illustrate its application in gener...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...