SUIF: an infrastructure for research on parallelizing and optimizing compilers. Compiler infrastructures that support experimental research are crucial to the advancement of high-performance computing. New compiler technology must be implemented and evaluated in the context of a complete compiler, but developing such an infrastructure requires a huge investment in time and resources. We have spent a number of years building the SUIF compiler into a powerful, flexible system, and we would now like to share the results of our efforts.SUIF consists of a small, clearly documented kernel and a toolkit of compiler passes built on top of the kernel. The kernel defines the intermediate representation, provides functions to access and manipulate the intermediate representation, and structures the interface between compiler passes. The toolkit currently includes C and Fortran front ends, a loop-level parallelism and locality optimizer, an optimizing MIPS back end, a set of compiler development tools, and support for instructional use.Although we do not expect SUIF to be suitable for everyone, we think it may be useful for many other researchers. We thus invite you to use SUIF and welcome your contributions to this infrastructure. Directions for obtaining the SUIF software are included at the end of this paper.

References in zbMATH (referenced in 27 articles )

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  1. Ozturk, Ozcan; Akturk, Ismail; Kadayif, Ismail; Tosun, Suleyman: Energy reduction in 3D NoCs through communication optimization (2015) ioport
  2. Leung, Alan; Lhoták, Ondřej; Lashari, Ghulam: Parallel execution of Java loops on graphics processing units (2013) ioport
  3. Spacey, Simon; Luk, Wayne; Kelly, Paul H. J.; Kuhn, Daniel: Improving communication latency with the write-only architecture (2012) ioport
  4. Dos Reis, Gabriel; Stroustrup, Bjarne: A principled, complete, and efficient representation of C++ (2011)
  5. Ozturk, Ozcan: Data locality and parallelism optimization using a constraint-based approach (2011) ioport
  6. Russell, Francis P.; Mellor, Michael R.; Kelly, Paul H. J.; Beckmann, Olav: DESOLA: an active linear algebra library using delayed evaluation and runtime code generation (2011) ioport
  7. Bluemke, Ilona; Fugas, Joanna: A tool supporting C code parallelization (2010)
  8. Liao, Chunhua; Quinlan, Daniel J.; Willcock, Jeremiah J.; Panas, Thomas: Semantic-aware automatic parallelization of modern applications using high-level abstractions (2010)
  9. Ozturk, Ozcan: Improving chip multiprocessor reliability through code replication (2010)
  10. Westermann, Peter; Schwoerer, Ludwig; Kaufmann, Andre: Applying data mapping techniques to vector DSPs (2009) ioport
  11. Bischof, Christian H.; Hovland, Paul D.; Norris, Boyana: On the implementation of automatic differentiation tools (2008)
  12. Ellmenreich, Nils; Lengauer, Christian: Costing stepwise refinements of parallel programs (2007)
  13. Silvano, Cristina; Agosta, Giovanni; Palermo, Gianluca: Efficient architecture/compiler co-exploration using analytical models (2007) ioport
  14. Özer, Emre; Nisbet, Andy P.; Gregg, David; Callanan, Owen: Estimating data bus size for custom processors in embedded systems (2006) ioport
  15. Panainte, Elena Moscu; Bertels, Koen; Vassiliadis, Stamatis: Interprocedural compiler optimization for partial run-time reconfiguration (2006)
  16. Vilayannur, Murali; Sivasubramaniam, Anand; Kandemir, Mahmut; Thakur, Rajeev; Ross, Robert: Discretionary caching for I/O on clusters (2006) ioport
  17. Cosnard, Michel; Jeannot, Emmanuel; Yang, Tao: Compact DAG representation and its symbolic scheduling (2004)
  18. Masselos, K.; Catthoor, F.; Goutis, C. E.; De Man, H.: Systematic application of data transfer and storage optimizing code transformations for power consumption and execution time reduction in ACROPOLIS: A pre-compiler for multimedia applications (2003)
  19. Kasahara, Hironori; Obata, Motoki; Ishizaka, Kazuhisa: Automatic coarse grain task parallel processing on SMP using OpenMP (2001)
  20. Lowenthal, D. K.; Freeh, V. W.: Architecture-independent parallelism for both shared- and distributed-memory machines using the Filaments package (2000)

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