Adaptive Optimizing Compilers for the 21st Century
The Journal of Supercomputing
Performance Analysis of Parallelizing Compilers on the Perfect Benchmarks Programs
IEEE Transactions on Parallel and Distributed Systems
Compiler optimization-space exploration
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Statistical Selection of Compiler Options
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning
Proceedings of the International Symposium on Code Generation and Optimization
OpenMPC: Extended OpenMP Programming and Tuning for GPUs
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
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One thrust of the OpenMP standard development focuses on support for accelerators. An important question is whether or not OpenMP extensions are needed, and how much performance difference they would make. The same question is relevant for related efforts in support of accelerators, such as OpenACC. The present paper pursues this question. We analyze the effects of individual optimization techniques in a previously developed system that translates OpenMP programs into GPU codes, called OpenMPC. We also propose a new tuning strategy, called Modified IE (MIE), which overcomes some inefficiencies of the original OpenMPC tuning scheme. Furthermore, MIE addresses the challenge of tuning in the presence of runtime variations, owing to the memory transfers between the CPU and GPU. MIE, on average, performs 11% better than the previous tuning system while restricting the tuning system time complexity to a polynomial function.