Circular scheduling: a new technique to perform software pipelining
PLDI '91 Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Advanced compiler design and implementation
Advanced compiler design and implementation
A fast Fourier transform compiler
Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
SPL: a language and compiler for DSP algorithms
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Optimizing data permutations for SIMD devices
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation
A SIMD optimization framework for retargetable compilers
ACM Transactions on Architecture and Code Optimization (TACO)
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As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automating this optimization process by making aggressive assumptions about the algorithm. Motivated by these trends, this paper presents HiLO, the high-level optimizer for FFT codes. HiLO blends traditional optimization techniques into an optimization strategy tailored to the needs of FFT codes and outputs C code ready to be further optimized by the native compiler. It has already been shown that such high-level transformations are important to coax the native compiler into doing its job well. HiLO provides a more appropriate platform for researching these phenomena, suggests an optimization strategy that improves on previous approaches, and shows that even software pipelining at the C level can improve the final binary's performance.