12 citations · 16 across the 3 of their papers we have counts for
4 papers
Performance portability through machine learning guided kernel selection in SYCL libraries
John Lawson
Automatically tuning parallel compute kernels allows libraries and frameworks to achieve performance on a wide range of hardware, however these techniques are typically focused on…
Towards automated kernel selection in machine learning systems: A SYCL case study
John Lawson
Automated tuning of compute kernels is a popular area of research, mainly focused on finding optimal kernel parameters for a problem with fixed input sizes. This approach is good f…
Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
John Lawson, Mehdi Goli, Duncan McBain +2
Over recent years heterogeneous systems have become more prevalent across HPC systems, with over 100 supercomputers in the TOP500 incorporating GPUs or other accelerators. These ha…
Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN
Rod Burns, John Lawson, Duncan McBain +1
Over the past few years machine learning has seen a renewed explosion of interest, following a number of studies showing the effectiveness of neural networks in a range of tasks wh…