Compilers, Techniques, and Tools for Supporting Programming Heterogeneous Many/Multicore Systems
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[1] Beniamino Di Martino,et al. Automatic Source Code Transformation for GPUs Based on Program Comprehension , 2011, Euro-Par Workshops.
[2] Beniamino Di Martino,et al. Support of automatic parallelization with concept comprehension , 1999, J. Syst. Archit..
[3] Rudolf Eigenmann,et al. OpenMP to GPGPU: a compiler framework for automatic translation and optimization , 2009, PPoPP '09.
[4] Pat Hanrahan,et al. Brook for GPUs: stream computing on graphics hardware , 2004, SIGGRAPH 2004.
[5] L. Dagum,et al. OpenMP: an industry standard API for shared-memory programming , 1998 .
[6] Kurt Keutzer,et al. The Concurrency Challenge , 2008, IEEE Design & Test of Computers.
[7] Rudolf Eigenmann,et al. Cetus - An Extensible Compiler Infrastructure for Source-to-Source Transformation , 2003, LCPC.
[8] Andy Schürr,et al. GXL: A graph-based standard exchange format for reengineering , 2006, Sci. Comput. Program..
[9] Bao Li,et al. PIT: A Framework for Effectively Composing High-Level Loop Transformations , 2012, Comput. Informatics.
[10] Chun Chen,et al. Loop Transformation Recipes for Code Generation and Auto-Tuning , 2009, LCPC.
[11] Chun Chen,et al. A Programming Language Interface to Describe Transformations and Code Generation , 2010, LCPC.
[12] Daniel J. Quinlan,et al. Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore , 2009, IWOMP.