Sorting is often computationally intensive and can cause the application in which it is used to run slowly. To date, the quickest software sorting implementations for an N element sorting problem runs at O(nlogn). Current techniques, beyond developing better algorithms, used to accelerate sorting include the use of multiple processors or moving the sorting operation to a GPU. The use of multiple processors or a GPU can lead to increased energy consumption and heat produced by the device as compared to a single-core GPU-less implementation. To address these problems, specialized instructions and hardware units can be added to the processors to accelerate the sorting operation directly. This thesis studies and records the performance implicat...
We describe the design of high-performance parallel radix sort and merge sort routines for manycore ...
High-throughput and low-latency sorting is a key requirement in many applications that deal with lar...
Nowadays, more and more data is going to be collected. Most of the collected data must be sorted to ...
Sorting algorithms have been ubiquitously used in numerous applications nowadays. As the data size s...
With the advent of big data and cloud computing, there is tremendous interest in optimised algorithm...
Although sort has been extensively studied in many research works, it still remains a challenge in p...
The primary goal of the presented experiment was to judge the usefulness of FPGA technology in the s...
Sorting is an important problem in computing that has a rich history of investigation by various res...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
AbstractWhile developing naive code is uncomplicated, optimizing extremely parallel algorithms requi...
This paper describes the VHDL design of a sorting algorithm, aiming at defining an elementary sortin...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
Tyt. z nagłówka.Pozostali autorzy artykułu: Marcin Pietroń, Maciej Wielgosz, Kaziemierz Wiatr.Biblio...
Novel"manycore" architectures, such as graphics processors, are high-parallel and high-performance s...
Sorting is perhaps the most widely studied problem in computer science and is frequently used as a b...
We describe the design of high-performance parallel radix sort and merge sort routines for manycore ...
High-throughput and low-latency sorting is a key requirement in many applications that deal with lar...
Nowadays, more and more data is going to be collected. Most of the collected data must be sorted to ...
Sorting algorithms have been ubiquitously used in numerous applications nowadays. As the data size s...
With the advent of big data and cloud computing, there is tremendous interest in optimised algorithm...
Although sort has been extensively studied in many research works, it still remains a challenge in p...
The primary goal of the presented experiment was to judge the usefulness of FPGA technology in the s...
Sorting is an important problem in computing that has a rich history of investigation by various res...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
AbstractWhile developing naive code is uncomplicated, optimizing extremely parallel algorithms requi...
This paper describes the VHDL design of a sorting algorithm, aiming at defining an elementary sortin...
The traditional sorting technique, sequential sorting, is inefficient with increasing amounts of dat...
Tyt. z nagłówka.Pozostali autorzy artykułu: Marcin Pietroń, Maciej Wielgosz, Kaziemierz Wiatr.Biblio...
Novel"manycore" architectures, such as graphics processors, are high-parallel and high-performance s...
Sorting is perhaps the most widely studied problem in computer science and is frequently used as a b...
We describe the design of high-performance parallel radix sort and merge sort routines for manycore ...
High-throughput and low-latency sorting is a key requirement in many applications that deal with lar...
Nowadays, more and more data is going to be collected. Most of the collected data must be sorted to ...