 Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and
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 Towards a learning-based performance modeling for accelerating Deep
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 C-for-Metal: High Performance SIMD Programming on Intel GPUsIEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2021 |
 Performance portability through machine learning guided kernel selection
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 Towards automated kernel selection in machine learning systems: A SYCL
case studyIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPS), 2020 |
 A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its
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