The primary goal of the presented experiment was to judge the usefulness of FPGA technology in the sorting operation performed by computer systems. We were interested to see if it was possible to achieve better system performance and lower energy consumption when the CPU is supported by FPGA chips. The method of custom processing was applied. We proposed dedicated sorting hardware to increase performance and save energy. Our concept addresses High Throughput Computing (HTC) systems. The custom hardware approach was proposed because this technique is available in supercomputing infrastructures today. Another important issue of the work is that the hardware was programmed using High Level Language (HLL). As a semiconductor platform for hardwa...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...
The use of sub-optimal digital systems can at times lead to high speed, efficient, costeffective str...
We will introduce a way how we can achieve high speed homology search by only adding one off-the-she...
With the advent of big data and cloud computing, there is tremendous interest in optimised algorithm...
In recent years, with the rise of the application of big data, efficiency has become more important ...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
Sorting is perhaps the most widely studied problem in computer science and is frequently used as a b...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
The execution speed of the FPGA processing elements are compared to the microprocessor processing el...
Sorting is often computationally intensive and can cause the application in which it is used to run ...
Customized computing is gaining ever-increasing popularity in today’s data center to meet the demand...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
This work improves on the latest research about sorting acceleration on FPGAs. An efficient design i...
Field programmable gate arrays (FPGAs) can be rapidly reconfigured to provide different digital logi...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...
The use of sub-optimal digital systems can at times lead to high speed, efficient, costeffective str...
We will introduce a way how we can achieve high speed homology search by only adding one off-the-she...
With the advent of big data and cloud computing, there is tremendous interest in optimised algorithm...
In recent years, with the rise of the application of big data, efficiency has become more important ...
Sorting is an extremely important computation kernel that has been accelerated in a lot of fields su...
Sorting is perhaps the most widely studied problem in computer science and is frequently used as a b...
International audienceNowadays, sorting is an important operation for several real-time embedded app...
In this thesis we explore the acceleration of sorting algorithms on FPGAs using high bandwidth memor...
The execution speed of the FPGA processing elements are compared to the microprocessor processing el...
Sorting is often computationally intensive and can cause the application in which it is used to run ...
Customized computing is gaining ever-increasing popularity in today’s data center to meet the demand...
As database systems have shifted from disk-based to in-memory, and the scale of the database in big ...
This work improves on the latest research about sorting acceleration on FPGAs. An efficient design i...
Field programmable gate arrays (FPGAs) can be rapidly reconfigured to provide different digital logi...
The decreasing cost of DRAM has made possible and grown the use of in-memory databases. However, mem...
The use of sub-optimal digital systems can at times lead to high speed, efficient, costeffective str...
We will introduce a way how we can achieve high speed homology search by only adding one off-the-she...