The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The pochoir stencil compiler
Open accessAbstract
A stencil computation repeatedly updates each point of a d-dimensional grid as a function of itself and its near neighbors. Parallel cache-efficient stencil algorithms based on "trapezoidal decompositions" are known, but most programmers find them difficult to write. The Pochoir stencil compiler allows a programmer to write a simple specification of a stencil in a domain-specific stencil language embedded in C++ which the Pochoir compiler then translates into high-performing Cilk code that employs an efficient parallel cache-oblivious algorithm. Pochoir supports general d-dimensional stencils and handles both periodic and aperiodic boundary conditions in one unified algorithm. The Pochoir system provides a C++ template library that allows the user's stencil specification to be executed directly in C++ without the Pochoir compiler (albeit more slowly), which simplifies user debugging and greatly simplified the implementation of the Pochoir compiler itself. A host of stencil benchmarks run on a modern multicore machine demonstrates that Pochoir outperforms standard parallelloop implementations, typically running 2-10 times faster. The algorithm behind Pochoir improves on prior cache-efficient algorithms on multidimensional grids by making "hyperspace" cuts, which yield asymptotically more parallelism for the same cache efficiency.
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Cites
Methods of Theoretical Physics
Morse, P. M., Feshbach, H., & Hill, E. L. (1954) · American Journal of Physics · doi:10.1119/1.1933765 · Cited by 13,197
An auto-tuning framework for parallel multicore stencil computations
Kamil, S., Chan, C., Oliker, L., Shalf, J., & Williams, S. (2010) · 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS) · doi:10.1109/ipdps.2010.5470421 · Cited by 209 · cited 1×
“[25] have explored automatic parallelization and tuning of”
BackgroundImplicit and explicit optimizations for stencil computations
Kamil, S., Datta, K., Williams, S., Oliker, L., Shalf, J., & Yelick, K. (2006) · Proceedings of the 2006 workshop on Memory system performance and correctness · doi:10.1145/1178597.1178605 · Cited by 130
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(2013) · doi:10.1145/2491956.2462176 · Cited by 885
Ragan-Kelley, J., Barnes, C., Adams, A., Paris, S., Durand, F., & Amarasinghe, S. (2013) · ACM SIGPLAN Notices · doi:10.1145/2499370.2462176 · Cited by 513
Metadata
- Authors
- Tang, Y., Chowdhury, R. A., Kuszmaul, B. C., Luk, C.-K., & Leiserson, C. E.
- Venue
- Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures
- Publisher
- ACM
- Published
- 2011-06-04
- Pages
- 117-128
- OpenAlex
- W1979457157
- Cited by
- 337
- References
- 3
- FWCI
- 19.02
- Type
- conference paper
- Language
- en
- Open access
- green
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- Tang, Y., Chowdhury, R. A., Kuszmaul, B. C., Luk, C.-K., & Leiserson, C. E. (2011). The pochoir stencil compiler. Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures. https://doi.org/10.1145/1989493.1989508
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