Comments, Suggestions, and Bug Reports

Performance tuning is a hard problem, especially for high-performance scientific programs. ParallelAccelerator is a step toward bringing good parallel performance to Julia by utilizing both domain-specific and general compiler and run-time optimization techniques without much effort from the user. However, eventually there will be bottlenecks, and not all optimizations work in favor of each other. ParallelAccelerator is still a proof-of-concept at this stage, and feedback from users will help us improve the system.

We welcome bug reports and code contributions. Please feel free to use our system, fork the project, and file bug reports on our GitHub issue tracker.