The C++ Programming Language
Parallel Programming Using C++
Parallel Programming Using C++
CIL: Intermediate Language and Tools for Analysis and Transformation of C Programs
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
STAPL: an adaptive, generic parallel C++ library
LCPC'01 Proceedings of the 14th international conference on Languages and compilers for parallel computing
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Evolving a language in and for the real world: C++ 1991-2006
Proceedings of the third ACM SIGPLAN conference on History of programming languages
Techniques for specifying bug patterns
Proceedings of the 2007 ACM workshop on Parallel and distributed systems: testing and debugging
GPCE '07 Proceedings of the 6th international conference on Generative programming and component engineering
Verification and semantic parallelization of goal-driven autonomous software
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
Source Code Rejuvenation Is Not Refactoring
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Design and evaluation of C++ open multi-methods
Science of Computer Programming
Dynamic algorithm selection for runtime concepts
Science of Computer Programming
An extensible open-source compiler infrastructure for testing
HVC'05 Proceedings of the First Haifa international conference on Hardware and Software Verification and Testing
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We briefly introduce the notion of Semantically Enhanced Library Languages, SELL, as a practical and economical alternative to special-purpose programming languages for high-performance computing. Then we describe the Pivot infrastructure for program analysis and transformation that is our main tool for supporting SELL. Finally, we outline how the IPR (The Pivot's Internal Program Representation) can be used to represent central notions of high-performance computing, such as parallelizable array operations. Our focus is on a broad exposition of ideas, rather than technical details.