International audienceManycore architectures are now available in a wide range of HPC systems. Going from CPUs to GPUs and FPGAs, modern hardware accelerators can be exploited using heterogeneous software technologies. In this chapter, we study the inputs that OpenCL offers to High Performance Computing applications, as a solution to unify developments. In order to overcome the lack of native OpenCL support for some architectures, we survey the third-party research works that propose a source-to-source approach to transform OpenCL into other parallel programming languages. We use FPGAs as a case study, because of their dramatic OpenCL support compared to GPUs for instance. These transformation approaches could also lead to potential works i...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Recent developments in processor architecture have settled a shift from sequential processing to par...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
The problem of automatically generating hardware modules from high level application representations...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
OpenCL is a widely adopted open standard for general purpose programming of diverse heterogeneous pa...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
The problem of automatically generating hardware modules from a high level representation of an appl...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
OpenCL is a programming language standard which enables the programmer to express the application by...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Recent developments in processor architecture have settled a shift from sequential processing to par...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
The problem of automatically generating hardware modules from high level application representations...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
OpenCL is a widely adopted open standard for general purpose programming of diverse heterogeneous pa...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
With the availability of multi-core processors, high capacity FPGAs, and GPUs, a heterogeneous platf...
The problem of automatically generating hardware modules from a high level representation of an appl...
This seminar introduces OpenCL as a heterogeneous programming language. We will analyze the structur...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
OpenCL is a programming language standard which enables the programmer to express the application by...
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all ...
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that...
General purpose GPU based systems are highly attractive as they give potentially massive performance...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Recent developments in processor architecture have settled a shift from sequential processing to par...