Author:
Schordan Markus,Lin Pei-Hung,Quinlan Dan,Pouchet Louis-Noël
Publisher
Springer Berlin Heidelberg
Reference22 articles.
1. Pouchet, L.N.: PolyOpt/C 0.2.0: A Polyhedral Compiler for ROSE (2012),
http://www.cs.ucla.edu/~pouchet/software/polyopt/
2. Bondhugula, U., Hartono, A., Ramanujam, J., Sadayappan, P.: A practical automatic polyhedral program optimization system. In: ACM SIGPLAN Conference on Programming Language Design and Implementation (June 2008)
3. Kong, M., Veras, R., Stock, K., Franchetti, F., Pouchet, L.N., Sadayappan, P.: When polyhedral transformations meet simd code generation. In: PLDI (June 2013)
4. Holewinski, J., Pouchet, L.N., Sadayappan, P.: High-performance code generation for stencil computations on gpu architectures. In: ICS (June 2012)
5. Pouchet, L.N., Zhang, P., Sadayappan, P., Cong, J.: Polyhedral-based data reuse optimization for configurable computing. In: FPGA (February 2013)
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