On the Automatic Parallelization of the Perfect Benchmarks®
IEEE Transactions on Parallel and Distributed Systems
Automatically tuned linear algebra software
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Parallel Programming with Polaris
Computer
Active harmony: towards automated performance tuning
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Compiler optimization-space exploration
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
PACT '00 Proceedings of the 2000 International Conference on Parallel Architectures and Compilation Techniques
Finding effective compilation sequences
Proceedings of the 2004 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Statistical Selection of Compiler Options
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Using Information from Prior Runs to Improve Automated Tuning Systems
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Fast and efficient searches for effective optimization-phase sequences
ACM Transactions on Architecture and Code Optimization (TACO)
Fast and Effective Orchestration of Compiler Optimizations for Automatic Performance Tuning
Proceedings of the International Symposium on Code Generation and Optimization
Semi-automatic composition of loop transformations for deep parallelism and memory hierarchies
International Journal of Parallel Programming
VISTA: VPO interactive system for tuning applications
ACM Transactions on Embedded Computing Systems (TECS)
Ablego: a function outlining and partial inlining framework: Research Articles
Software—Practice & Experience
OpenUH: an optimizing, portable OpenMP compiler: Research Articles
Concurrency and Computation: Practice & Experience - Current Trends in Compilers for Parallel Computers (CPC2006)
PEAK—a fast and effective performance tuning system via compiler optimization orchestration
ACM Transactions on Programming Languages and Systems (TOPLAS)
A tuning framework for software-managed memory hierarchies
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Mapping parallelism to multi-cores: a machine learning based approach
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation
A scalable auto-tuning framework for compiler optimization
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
The Paralax infrastructure: automatic parallelization with a helping hand
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Combined Iterative and Model-driven Optimization in an Automatic Parallelization Framework
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
On the interaction of tiling and automatic parallelization
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
Auto-tuning full applications: A case study
International Journal of High Performance Computing Applications
Performance analysis and tuning of automatically parallelized OpenMP applications
IWOMP'11 Proceedings of the 7th international conference on OpenMP in the Petascale era
A code isolator: isolating code fragments from large programs
LCPC'04 Proceedings of the 17th international conference on Languages and Compilers for High Performance Computing
Performance analysis of symbolic analysis techniques for parallelizing compilers
LCPC'02 Proceedings of the 15th international conference on Languages and Compilers for Parallel Computing
Automatically tuning parallel and parallelized programs
LCPC'09 Proceedings of the 22nd international conference on Languages and Compilers for Parallel Computing
Effective source-to-source outlining to support whole program empirical optimization
LCPC'09 Proceedings of the 22nd international conference on Languages and Compilers for Parallel Computing
Hybrid optimizations: which optimization algorithm to use?
CC'06 Proceedings of the 15th international conference on Compiler Construction
Automated programmable control and parameterization of compiler optimizations
CGO '11 Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
The Cetus Source-to-Source Compiler Infrastructure: Overview and Evaluation
International Journal of Parallel Programming
| Hi-index | 0.00 |
Automatic parallelization of sequential programs combined with tuning is an alternative to manual parallelization. This method has the potential to substantially increase productivity and is thus of critical importance for exploiting the increased computational power of today's multicores. A key difficulty is that parallelizing compilers are generally unable to estimate the performance impact of an optimization on a whole program or a program section at compile time; hence, the ultimate performance decision today rests with the developer. Building an autotuning system to remedy this situation is not a trivial task. This work presents a portable empirical autotuning system that operates at program-section granularity and partitions the compiler options into groups that can be tuned independently. To our knowledge, this is the first approach delivering an autoparallelization system that ensures performance improvements for nearly all programs, eliminating the users' need to experiment with such tools to strive for highest application performance.