GPU acceleration of hash tables in high-volume transaction applications such as computational geometry and bio-informatics are emerging. Recently, several hash table designs have been proposed on GPUs, but our analysis shows that they still do not adequately factor in several important aspects of a GPU’s execution environment, leaving large room forfurther optimization
The usage of Graphics Processing Units (GPUs) as an application accelerator has become increasingly ...
Graphic Processing Units (GPUs) are originally mainly designed to accelerate graphic applications. N...
<p>Heterogeneous processors with accelerators provide an opportunity to improve performance within a...
GPU acceleration of hash tables in high-volume transaction applications such as computational geomet...
Abstract—Hashing is one of the most fundamental operations that provides a means for a program to ob...
Current trading systems must handle both high volumes of trading and large amounts of trading data. ...
Building efficient concurrent data structures that scale to the level of GPU parallelism is a challe...
We demonstrate an efficient data-parallel algorithm for building large hash tables of millions of el...
abstract: With the massive multithreading execution feature, graphics processing units (GPUs) have b...
In an effort to provide security and data integrity, hashing algorithms have been designed to consum...
The computation power from graphics processing units (GPUs) has become prevalent in many fields of c...
Database systems have been widely used in a large range of applications to provide users with functi...
Concurrent data structures play a critical role in the overall performance of GPGPU applications. St...
The extensive use of medical monitoring devices has resulted in the generation of tremendous amounts...
these pixels are shown as colors in (b). We store the image in a hash table under a 0.99 load factor...
The usage of Graphics Processing Units (GPUs) as an application accelerator has become increasingly ...
Graphic Processing Units (GPUs) are originally mainly designed to accelerate graphic applications. N...
<p>Heterogeneous processors with accelerators provide an opportunity to improve performance within a...
GPU acceleration of hash tables in high-volume transaction applications such as computational geomet...
Abstract—Hashing is one of the most fundamental operations that provides a means for a program to ob...
Current trading systems must handle both high volumes of trading and large amounts of trading data. ...
Building efficient concurrent data structures that scale to the level of GPU parallelism is a challe...
We demonstrate an efficient data-parallel algorithm for building large hash tables of millions of el...
abstract: With the massive multithreading execution feature, graphics processing units (GPUs) have b...
In an effort to provide security and data integrity, hashing algorithms have been designed to consum...
The computation power from graphics processing units (GPUs) has become prevalent in many fields of c...
Database systems have been widely used in a large range of applications to provide users with functi...
Concurrent data structures play a critical role in the overall performance of GPGPU applications. St...
The extensive use of medical monitoring devices has resulted in the generation of tremendous amounts...
these pixels are shown as colors in (b). We store the image in a hash table under a 0.99 load factor...
The usage of Graphics Processing Units (GPUs) as an application accelerator has become increasingly ...
Graphic Processing Units (GPUs) are originally mainly designed to accelerate graphic applications. N...
<p>Heterogeneous processors with accelerators provide an opportunity to improve performance within a...