B. Steinberg, Anton Baglij, V. Petrenko, V. Burkhovetskiy, O. Steinberg, Elena Metelica
{"title":"一个程序并行化和优化的分析器","authors":"B. Steinberg, Anton Baglij, V. Petrenko, V. Burkhovetskiy, O. Steinberg, Elena Metelica","doi":"10.1145/3274856.3274875","DOIUrl":null,"url":null,"abstract":"The article describes new facilities for program optimization and parallelization, work-in-progress modifications of previously implemented program transformations and compiler libraries, and future development of Optimizing parallelizing system (OPS) including opening its source code on GitHub. These new facilities, such as dialog-based optimization and parallelization, user-friendly program dependency visualization (which is needed for high-quality analyzers), parallel code generation for accelerators (GPUs, DSPs, FPGAs, or high performance clusters), are made possible by the fact, that OPS uses high-level intermediate representation as opposed to low-level intermediate representation used in popular compilers.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Analyzer for Program Parallelization and Optimization\",\"authors\":\"B. Steinberg, Anton Baglij, V. Petrenko, V. Burkhovetskiy, O. Steinberg, Elena Metelica\",\"doi\":\"10.1145/3274856.3274875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes new facilities for program optimization and parallelization, work-in-progress modifications of previously implemented program transformations and compiler libraries, and future development of Optimizing parallelizing system (OPS) including opening its source code on GitHub. These new facilities, such as dialog-based optimization and parallelization, user-friendly program dependency visualization (which is needed for high-quality analyzers), parallel code generation for accelerators (GPUs, DSPs, FPGAs, or high performance clusters), are made possible by the fact, that OPS uses high-level intermediate representation as opposed to low-level intermediate representation used in popular compilers.\",\"PeriodicalId\":373840,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Applications in Information Technology\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Applications in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3274856.3274875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Applications in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274856.3274875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Analyzer for Program Parallelization and Optimization
The article describes new facilities for program optimization and parallelization, work-in-progress modifications of previously implemented program transformations and compiler libraries, and future development of Optimizing parallelizing system (OPS) including opening its source code on GitHub. These new facilities, such as dialog-based optimization and parallelization, user-friendly program dependency visualization (which is needed for high-quality analyzers), parallel code generation for accelerators (GPUs, DSPs, FPGAs, or high performance clusters), are made possible by the fact, that OPS uses high-level intermediate representation as opposed to low-level intermediate representation used in popular compilers.