Add to ORKGHeterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources Dynamic parallelism which reduces processor load and avoids bottlenecks Improved imaging support and integration with OpenGL Designed to work on multiple platfo
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
Modern computer systems are becoming increasingly heterogeneous by comprising multi-core C...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Heterogeneous multicore architectures with CPU and add-on GPUs or streaming processors are now widel...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Application programming for modern heterogeneous systems which comprise multiple accelerators (multi...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
Clusters of heterogeneous computing nodes provide an opportunity to significantly increase the perfo...
Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graph...
Application development for modern high-performance systems with Graphics Processing Units (GPUs) cu...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
Modern computer systems are becoming increasingly heterogeneous by comprising multi-core C...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Heterogeneous multicore architectures with CPU and add-on GPUs or streaming processors are now widel...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Application programming for modern heterogeneous systems which comprise multiple accelerators (multi...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
Clusters of heterogeneous computing nodes provide an opportunity to significantly increase the perfo...
Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graph...
Application development for modern high-performance systems with Graphics Processing Units (GPUs) cu...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
Modern computer systems are becoming increasingly heterogeneous by comprising multi-core C...