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Lightning Talk – Just-in-Time Autotuning
DescriptionPerformance portability is a major concern on current architectures. One way to achieve it is by using autotuning. In this paper, we are presenting how we extended a just-in-time compilation infrastructure to introduce autotuning capabilities triggered at run-time. When a function is executed, the first iterations optimize it, and once the best solution has been found, it is used for subsequent calls to the function. This just-in-time autotuning infrastructure is relevant for optimizing computation kernels that will be called numerous times with similar parameters through the execution, re-optimizes kernels when they are called with other parameters, and the programmer can obtain the optimal parameters to use them for other kernels. We present an experimental performance evaluation of our approach. Compiling the code introduces an overhead on the first iterations, and this overhead is compensated for during subsequent iterations. We also determined that the optimum found seems stable and accurate.
Event Type
Workshop
TimeSunday, 12 November 202311:44am - 11:51am MST
Location601
Compilers
Heterogeneous Computing
Performance Optimization
W