Significantly increasing intra-node parallelism is widely recog-nised as being a key prerequisite for reaching exascale levels of computational performance. In future exascale systems it is likely that this performance improvement will be realised by increasing the parallelism available in traditional CPU devices and using massively-parallel hardware accelerators. The MPI programming model is starting to reach its scal-ability limit and is unable to take advantage of hardware accelerators; consequently, HPC centres (such as AWE) will have to decide how to develop their existing applications to best take advantage of future HPC system architectures. This work seeks to evaluate OpenCL as a candidate tech-nology for implementing an alternative...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
Shared memory multi-core processor technology has seen a drastic developmentwith faster and increasi...
The advent of heterogeneous computing has forced programmers to use platform specific programming pa...
Significantly increasing intra-node parallelism is widely recognised as being a key prerequisite for...
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...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Abstract—Hardware accelerators are capable of achieving sig-nificant performance improvement. Howeve...
This paper reports on the development of an MPI/OpenCL implementation of LU, an application-level be...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Utilizing heterogeneous platforms for computation has become a general trend, making the portability...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
Shared memory multi-core processor technology has seen a drastic developmentwith faster and increasi...
The advent of heterogeneous computing has forced programmers to use platform specific programming pa...
Significantly increasing intra-node parallelism is widely recognised as being a key prerequisite for...
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...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Abstract—Hardware accelerators are capable of achieving sig-nificant performance improvement. Howeve...
This paper reports on the development of an MPI/OpenCL implementation of LU, an application-level be...
Open Compute Language (OpenCL) has been proposed as a platform-independent parallel execution framew...
OpenCL has been developed for writing programs that run in parallel. While OpenCL has been engineere...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Utilizing heterogeneous platforms for computation has become a general trend, making the portability...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
Shared memory multi-core processor technology has seen a drastic developmentwith faster and increasi...
The advent of heterogeneous computing has forced programmers to use platform specific programming pa...