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Found 4 papers, 3 papers with code
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
We introduce the Bayesian Compiler Optimization framework (BaCO), a general purpose autotuner for modern compilers targeting CPUs, GPUs, and FPGAs.
A Language for Describing Optimization Strategies
In contrast to systems with scheduling APIs, in Elevate programmers are not restricted to a set of built-in optimizations but define their own optimization strategies freely in a composable way.
Programming Languages Performance
Strategy Preserving Compilation for Parallel Functional Code
Performance results on GPUs and a multicore CPU show that the formalised translation process generates low-level code with performance on a par with code generated from ad hoc approaches.
Distributed, Parallel, and Cluster Computing Programming Languages
Autotuning OpenCL Workgroup Size for Stencil Patterns
Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the underlying hardware, the data being operated on, and the implementation of the kernel.
Distributed, Parallel, and Cluster Computing
