| DC Field | Value | Language |
|---|
| dc.contributor.author | Melnyk, Anatoliy | - |
| dc.contributor.author | Kozak, Nazar | - |
| dc.date.accessioned | 2020-06-16T08:12:18Z | - |
| dc.date.available | 2020-06-16T08:12:18Z | - |
| dc.date.created | 2019-02-26 | - |
| dc.date.issued | 2019-02-26 | - |
| dc.identifier.citation | Melnyk A. Simple Universal Translator as an Alternative Compiler-Compiler / Anatoliy Melnyk, Nazar Kozak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 105–109. | - |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52233 | - |
| dc.description.abstract | This article deals with ways of how to
implement a simple universal translator. Such universal
translator may be an alternative to the compiler-compiler. | - |
| dc.format.extent | 105-109 | - |
| dc.language.iso | en | - |
| dc.publisher | Видавництво Львівської політехніки | - |
| dc.publisher | Lviv Politechnic Publishing House | - |
| dc.relation.ispartof | Advances in Cyber-Physical Systems, 2 (4), 2019 | - |
| dc.relation.ispartof | Advances in Cyber-Physical Systems, 2 (4), 2019 | - |
| dc.relation.uri | https://www.boost.org/doc/libs/1_67_0/libs/spirit/doc/html/index.html | - |
| dc.subject | compiler-compiler | - |
| dc.subject | universal translator | - |
| dc.subject | Backus–Naur form | - |
| dc.title | Simple Universal Translator as an Alternative Compiler-Compiler | - |
| dc.type | Article | - |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2019 | - |
| dc.rights.holder | © Melnyk A., Kozak N., 2019 | - |
| dc.contributor.affiliation | Lviv Polytechnic National University | - |
| dc.format.pages | 5 | - |
| dc.identifier.citationen | Melnyk A. Simple Universal Translator as an Alternative Compiler-Compiler / Anatoliy Melnyk, Nazar Kozak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 105–109. | - |
| dc.relation.references | [1] Aho, Sethi, Ullman, Compilers: Principles, Techniques, and Tools, Addison-Wesley, 1986. ISBN 0-201-10088-6. | - |
| dc.relation.references | [2] Peter Mosses. SIS: A Compiler-Generator System Using Denotational Semantics, Report 78-4-3, Dept. of Computer Science, University of Aarhus, Denmark, June 1978. | - |
| dc.relation.references | [3] C. Stephen Carr, David A. Luther, Sherian Erdmann, The TREEMETA Compiler-Compiler System: A Meta Compiler System for the Univac 1108 and General Electric 645, University of Utah Technical Report RADC-TR-69-83. | - |
| dc.relation.references | [4] Spirit 2.5.5. https://www.boost.org/doc/libs/1_67_0/libs/spirit/doc/html/index.html 12.12.2019. | - |
| dc.relation.references | [5] Lesk, M.E.; Schmidt, E. “Lex – A Lexical Analyzer Generator”. Retrieved August 16, 2010. | - |
| dc.relation.references | [6] Levine, John R.; Mason, Tony; Brown, Doug (1992). lex & yacc (2 ed.). O'Reilly. pp. 1–2. ISBN 1-56592-000-7. | - |
| dc.relation.references | [7] The LLVM Compiler Infrastructure Project. Retrieved March 11, 2016. | - |
| dc.relation.references | [8] Melnyk, A., Salo, A., Klymenko, V., Tsyhylyk, L. Chameleon – system for specialized processors high-level synthesis, Scientifictechnical magazine of National Aerospace University “KhAI”, Kharkiv, 2009. Nо. 5, P. 189–195. | - |
| dc.relation.references | [9] S.-I. Lee, T. Johnson, and R. Eigenmann. Cetus – an extensible compiler infrastructure for source-to-source transformation. In Proc. Workshops on Languages and Compilers for Parallel Computing, 2003. | - |
| dc.relation.references | [10] S. Lee, S.-J. Min, and R. Eigenmann. OpenMP to GPGPU: A compiler framework for automatic translation and optimization. In Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009. | - |
| dc.relation.references | [11] Y. Liu, E. Z. Zhang, amd X. Shen. A Cross-Input Adaptive Framework for GPU Program Optimization. In Proc. IEEE International Parallel & Distributed Processing Symposium, 2009. | - |
| dc.relation.references | [12] M. Baskaran, U. Bondhugula, S. Krishnamoorthy, J. Ramanujam, A. Rountev, and P. Sadayappan. Automatic Data Movement and Computation Mapping for Multi-level Parallel Architectures with Explicitly Managed Memories. In Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008. | - |
| dc.relation.references | [13] L.-N. Pouchet, C. Bastoul, A. Cohen, and N. Vasilache. Iterative optimization in the polyhedral mode: part I, on dimensional time. In Proc. International Symposium on Code Generation and Optimization, 2007. | - |
| dc.relation.references | [14] K. Datta, M. Murphy, V. Volkov, S. Williams, J. Carter, L. Oliker, D. Patterson, J. Shalf, and K. Yelick. Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures, in Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 2008, p. 4. | - |
| dc.relation.references | [15] J. Ansel, Y. L. W. ans Cy Chan, M. Olszewski, A. Edelman, and S. Amarasinghe. Language and compiler support for auto-tuning variable-accuracy algorithms, in The International Symposium on Code Generation and Optimization, ser. CGO ’11, 2011. | - |
| dc.relation.references | [16] J. Kurzak, H. Anzt, M. Gates, and J. Dongarra. Implementation and tuning of batched Cholesky factorization and solve for NVIDIA GPUs, IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 7, 2016. | - |
| dc.relation.references | [17] A. Magni, C. Dubach, and M. O’Boyle. Automatic optimization of thread-coarsening for graphics processors, in Proceedings of the 23rd International Conference on Parallel Architectures and Compilation, ser. PACT ’14, 2014, pp. 455–466. | - |
| dc.relation.references | [18] S. Unkule, C. Shaltz, and A. Qasem. Automatic restructuring of GPU kernels for exploiting inter-thread data locality, in Proceedings of the 21st International Conference on Compiler Construction, ser. CC’12, 2012, pp. 21–40. | - |
| dc.relation.references | [19] Y. Yang, P. Xiang, J. Kong, M. Mantor, and H. Zhou. A unified optimizing compiler framework for different gpgpu architectures, ACM Trans. Archit. Code Optim., vol. 9, no. 2, pp. 9:1–9:33, 2012. | - |
| dc.relation.references | [20] C. Lattner and V. Adve. LLVM: A compilation framework for lifelong program analysis & transformation, in Proceedings of the International Symposium on Code Generation and Optimization: Feedback directed and Runtime Optimization, ser. CGO ’04, 2004. | - |
| dc.relation.references | [21] F. Bodin, T. Kisuki, P. Knijnenburg, M. O’Boyle, and E. Rohou. Iterative compilation in a non-linear optimisation space, in Workshop on Profile and Feedback-Directed Compilation, 1998. | - |
| dc.relation.references | [22] P. M. Knijnenburg, T. Kisuki, and M. F. O’Boyle. Combined selection of tile sizes and unroll factors using iterative compilation, The Journal of Supercomputing, vol. 24, no. 1, pp. 43–67, 2003. | - |
| dc.relation.references | [23] F. Agakov, E. Bonilla, J. Cavazos, B. Franke, G. Fursin, M. F. P. O’Boyle, J. Thomson, M. Toussaint, and C. K. I. Williams. Using machine learning to focus the iterative optimization, in Proceedings of the International Symposium on Code Generation and Optimization, ser. CGO ’06, 2006, pp. 295–305. | - |
| dc.relation.referencesen | [1] Aho, Sethi, Ullman, Compilers: Principles, Techniques, and Tools, Addison-Wesley, 1986. ISBN 0-201-10088-6. | - |
| dc.relation.referencesen | [2] Peter Mosses. SIS: A Compiler-Generator System Using Denotational Semantics, Report 78-4-3, Dept. of Computer Science, University of Aarhus, Denmark, June 1978. | - |
| dc.relation.referencesen | [3] C. Stephen Carr, David A. Luther, Sherian Erdmann, The TREEMETA Compiler-Compiler System: A Meta Compiler System for the Univac 1108 and General Electric 645, University of Utah Technical Report RADC-TR-69-83. | - |
| dc.relation.referencesen | [4] Spirit 2.5.5. https://www.boost.org/doc/libs/1_67_0/libs/spirit/doc/html/index.html 12.12.2019. | - |
| dc.relation.referencesen | [5] Lesk, M.E.; Schmidt, E. "Lex – A Lexical Analyzer Generator". Retrieved August 16, 2010. | - |
| dc.relation.referencesen | [6] Levine, John R.; Mason, Tony; Brown, Doug (1992). lex & yacc (2 ed.). O'Reilly. pp. 1–2. ISBN 1-56592-000-7. | - |
| dc.relation.referencesen | [7] The LLVM Compiler Infrastructure Project. Retrieved March 11, 2016. | - |
| dc.relation.referencesen | [8] Melnyk, A., Salo, A., Klymenko, V., Tsyhylyk, L. Chameleon – system for specialized processors high-level synthesis, Scientifictechnical magazine of National Aerospace University "KhAI", Kharkiv, 2009. No. 5, P. 189–195. | - |
| dc.relation.referencesen | [9] S.-I. Lee, T. Johnson, and R. Eigenmann. Cetus – an extensible compiler infrastructure for source-to-source transformation. In Proc. Workshops on Languages and Compilers for Parallel Computing, 2003. | - |
| dc.relation.referencesen | [10] S. Lee, S.-J. Min, and R. Eigenmann. OpenMP to GPGPU: A compiler framework for automatic translation and optimization. In Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009. | - |
| dc.relation.referencesen | [11] Y. Liu, E. Z. Zhang, amd X. Shen. A Cross-Input Adaptive Framework for GPU Program Optimization. In Proc. IEEE International Parallel & Distributed Processing Symposium, 2009. | - |
| dc.relation.referencesen | [12] M. Baskaran, U. Bondhugula, S. Krishnamoorthy, J. Ramanujam, A. Rountev, and P. Sadayappan. Automatic Data Movement and Computation Mapping for Multi-level Parallel Architectures with Explicitly Managed Memories. In Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2008. | - |
| dc.relation.referencesen | [13] L.-N. Pouchet, C. Bastoul, A. Cohen, and N. Vasilache. Iterative optimization in the polyhedral mode: part I, on dimensional time. In Proc. International Symposium on Code Generation and Optimization, 2007. | - |
| dc.relation.referencesen | [14] K. Datta, M. Murphy, V. Volkov, S. Williams, J. Carter, L. Oliker, D. Patterson, J. Shalf, and K. Yelick. Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures, in Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 2008, p. 4. | - |
| dc.relation.referencesen | [15] J. Ansel, Y. L. W. ans Cy Chan, M. Olszewski, A. Edelman, and S. Amarasinghe. Language and compiler support for auto-tuning variable-accuracy algorithms, in The International Symposium on Code Generation and Optimization, ser. CGO ’11, 2011. | - |
| dc.relation.referencesen | [16] J. Kurzak, H. Anzt, M. Gates, and J. Dongarra. Implementation and tuning of batched Cholesky factorization and solve for NVIDIA GPUs, IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 7, 2016. | - |
| dc.relation.referencesen | [17] A. Magni, C. Dubach, and M. O’Boyle. Automatic optimization of thread-coarsening for graphics processors, in Proceedings of the 23rd International Conference on Parallel Architectures and Compilation, ser. PACT ’14, 2014, pp. 455–466. | - |
| dc.relation.referencesen | [18] S. Unkule, C. Shaltz, and A. Qasem. Automatic restructuring of GPU kernels for exploiting inter-thread data locality, in Proceedings of the 21st International Conference on Compiler Construction, ser. CC’12, 2012, pp. 21–40. | - |
| dc.relation.referencesen | [19] Y. Yang, P. Xiang, J. Kong, M. Mantor, and H. Zhou. A unified optimizing compiler framework for different gpgpu architectures, ACM Trans. Archit. Code Optim., vol. 9, no. 2, pp. 9:1–9:33, 2012. | - |
| dc.relation.referencesen | [20] C. Lattner and V. Adve. LLVM: A compilation framework for lifelong program analysis & transformation, in Proceedings of the International Symposium on Code Generation and Optimization: Feedback directed and Runtime Optimization, ser. CGO ’04, 2004. | - |
| dc.relation.referencesen | [21] F. Bodin, T. Kisuki, P. Knijnenburg, M. O’Boyle, and E. Rohou. Iterative compilation in a non-linear optimisation space, in Workshop on Profile and Feedback-Directed Compilation, 1998. | - |
| dc.relation.referencesen | [22] P. M. Knijnenburg, T. Kisuki, and M. F. O’Boyle. Combined selection of tile sizes and unroll factors using iterative compilation, The Journal of Supercomputing, vol. 24, no. 1, pp. 43–67, 2003. | - |
| dc.relation.referencesen | [23] F. Agakov, E. Bonilla, J. Cavazos, B. Franke, G. Fursin, M. F. P. O’Boyle, J. Thomson, M. Toussaint, and C. K. I. Williams. Using machine learning to focus the iterative optimization, in Proceedings of the International Symposium on Code Generation and Optimization, ser. CGO ’06, 2006, pp. 295–305. | - |
| dc.citation.journalTitle | Advances in Cyber-Physical Systems | - |
| dc.citation.issue | 2 | - |
| dc.citation.spage | 105 | - |
| dc.citation.epage | 109 | - |
| dc.coverage.placename | Львів | - |
| dc.coverage.placename | Lviv | - |
| Appears in Collections: | Advances In Cyber-Physical Systems. – 2019. – Vol. 4, No. 2
|
