AbstractThe use of heterogeneous devices is becoming increasingly widespread. Their main drawback is their low programmability due to the large amount of details that must be handled. Another important problem is the reduced code portability, as most of the tools to program them are vendor or device-specific. The exception to this observation is OpenCL, which largely suffers from the reduced programmability problem mentioned, particularly in the host side. The Heterogeneous Programming Library (HPL) is a recent proposal to improve this situation, as it couples portability with good programmability. While the HPL kernels must be written in a language embedded in C++, users may prefer to use OpenCL kernels for several reasons such as their gr...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Accelerator processors allow energy-efficient computation at high performance, especially for comput...
AbstractThe use of heterogeneous devices is becoming increasingly widespread. Their main drawback is...
[Abstract] While recognition of the advantages of heterogeneous computing is steadily growing, the i...
While recognition of the advantages of heterogeneous computing is steadily growing, the issues of pr...
[Abstract] The usage of heterogeneous devices presents two main problems. One is their complex progr...
Initially driven by a strong need for increased computational performance in science and engineerin...
OpenCL is a standard for parallel programming of heterogeneous systems. The benefits of a common pro...
International audienceTo fully tap into the potential of today heterogeneous machines, offloading pa...
Hardware specialization is a well-known means to significantly improve the performance and energy ef...
Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graph...
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 audienceOpenCL defines a common parallel programming language for all devices, althoug...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Accelerator processors allow energy-efficient computation at high performance, especially for comput...
AbstractThe use of heterogeneous devices is becoming increasingly widespread. Their main drawback is...
[Abstract] While recognition of the advantages of heterogeneous computing is steadily growing, the i...
While recognition of the advantages of heterogeneous computing is steadily growing, the issues of pr...
[Abstract] The usage of heterogeneous devices presents two main problems. One is their complex progr...
Initially driven by a strong need for increased computational performance in science and engineerin...
OpenCL is a standard for parallel programming of heterogeneous systems. The benefits of a common pro...
International audienceTo fully tap into the potential of today heterogeneous machines, offloading pa...
Hardware specialization is a well-known means to significantly improve the performance and energy ef...
Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graph...
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 audienceOpenCL defines a common parallel programming language for all devices, althoug...
International audienceManycore architectures are now available in a wide range of HPC systems. Going...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Accelerator processors allow energy-efficient computation at high performance, especially for comput...