This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structure of an OpenCL program and how to handle the different elements of OpenCL. Examples of parallel computing are presented to illustrate how to write computing programs in OpenCL. Finally, we discuss how these concepts have to be translated into the FPGA context to achieve high performance. The exercises expand the concepts with example programs. The examples help to understand the role of the host program to allocate memory, schedule tasks, and execute kernels in the OpenCL device. More advanced examples explain optimization decisions made due to hardware particularities
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
This book follows an example-driven, simplified, and practical approach to using OpenCL for general ...
High performance parallel computing was something exclusive for expensive specialized hardware some ...
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...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
The problem of automatically generating hardware modules from high level application representations...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
OpenCL is a programming language standard which enables the programmer to express the application by...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
This book follows an example-driven, simplified, and practical approach to using OpenCL for general ...
High performance parallel computing was something exclusive for expensive specialized hardware some ...
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...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
The problem of automatically generating hardware modules from high level application representations...
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems ...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
OpenCL is a programming language standard which enables the programmer to express the application by...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
This book follows an example-driven, simplified, and practical approach to using OpenCL for general ...
High performance parallel computing was something exclusive for expensive specialized hardware some ...