Heterogeneous Computing with OpenCL 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) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore
Despite the fact that GPU was originally intended to be as a co-processor specializing in graphics r...
While recognition of the advantages of heterogeneous computing is steadily growing, the issues of pr...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
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 multiple accelerators (multi...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
This book follows an example-driven, simplified, and practical approach to using OpenCL for general ...
Parallel computing becomes a need to perform task as soon as possible. This can be done in two way i...
Despite the fact that GPU was originally intended to be as a co-processor specializing in graphics r...
While recognition of the advantages of heterogeneous computing is steadily growing, the issues of pr...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
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 multiple accelerators (multi...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
This book follows an example-driven, simplified, and practical approach to using OpenCL for general ...
Parallel computing becomes a need to perform task as soon as possible. This can be done in two way i...
Despite the fact that GPU was originally intended to be as a co-processor specializing in graphics r...
While recognition of the advantages of heterogeneous computing is steadily growing, the issues of pr...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...