The program dependence graph and its use in optimization
ACM Transactions on Programming Languages and Systems (TOPLAS)
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Support of automatic parallelization with concept comprehension
Journal of Systems Architecture: the EUROMICRO Journal - Special issue on tools and environments for parallel program development
Two Program Comprehension Tools for Automatic Parallelization
IEEE Concurrency
Using Slicing to Identify Duplication in Source Code
SAS '01 Proceedings of the 8th International Symposium on Static Analysis
PAP Recognizer: A Tool for Automatic Recognition of Parallelizable Patterns
WPC '96 Proceedings of the 4th International Workshop on Program Comprehension (WPC '96)
Clone Detection Using Abstract Syntax Trees
ICSM '98 Proceedings of the International Conference on Software Maintenance
A Language Independent Approach for Detecting Duplicated Code
ICSM '99 Proceedings of the IEEE International Conference on Software Maintenance
VFC: The Vienna Fortran Compiler
Scientific Programming
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Scalable detection of semantic clones
Proceedings of the 30th international conference on Software engineering
A compiler framework for optimization of affine loop nests for gpgpus
Proceedings of the 22nd annual international conference on Supercomputing
Compiler research: the next 50 years
Communications of the ACM - Inspiring Women in Computing
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore
IWOMP '09 Proceedings of the 5th International Workshop on OpenMP: Evolving OpenMP in an Age of Extreme Parallelism
| Hi-index | 0.00 |
In this work is presented a technique to transform sequential source code to execute it on parallel architectures as heterogeneous many-core systems or GPUs. Source code is parsed and basic algorithmic concepts are discovered from it in order to feed a knowledge base. A reasoner, by consulting algorithmic rules, can compose this basic concepts to pinpoint code regions representing a known algorithm. This code can be annotated and / or transformed with a source-to-source process. A prototype tool has been built and tested on a case study to analyse the source code of a matrix multiplication. After recognition of the algorithm, the code is modified with calls to nVIDIA GPU cuBLAS library.