This work discusses available approaches for programming graphic hardware as a platform for executing parallel calculations. Text of the work is focused on new OpenCL technology, which allows executing the same high level code for taking control of full potential of multicore CPUs and GPUs, without explicit bindings to hardware vendor or operating system. Author provides the reader with libraries and tools based on OpenCL, along with practical examples and own observations about the current state of mentioned technology
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
c©2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Today's computer systems often contains several different processing units aside from the CPU. Among...
Project (M.S., Computer Science) -- California State University, Sacramento, 2011.The developments o...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Parallel programming on graphic cards is mostly known in the research community. It?s using for time...
GPGPU (General Programming on Graphics Processing Units) vastly improves over traditional methods of...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
High performance parallel computing was something exclusive for expensive specialized hardware some ...
In this thesis, several implementations of an image back projection algorithm using Open Computing L...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
The text of this thesis deals with techniques of parallel processing calculations. It is an analysis...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
c©2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Today's computer systems often contains several different processing units aside from the CPU. Among...
Project (M.S., Computer Science) -- California State University, Sacramento, 2011.The developments o...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Parallel programming on graphic cards is mostly known in the research community. It?s using for time...
GPGPU (General Programming on Graphics Processing Units) vastly improves over traditional methods of...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
High performance parallel computing was something exclusive for expensive specialized hardware some ...
In this thesis, several implementations of an image back projection algorithm using Open Computing L...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
The text of this thesis deals with techniques of parallel processing calculations. It is an analysis...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
c©2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Today's computer systems often contains several different processing units aside from the CPU. Among...