Proceedings of the 1989 ACM/IEEE conference on Supercomputing
The cache performance and optimizations of blocked algorithms
ASPLOS IV Proceedings of the fourth international conference on Architectural support for programming languages and operating systems
Improving the ratio of memory operations to floating-point operations in loops
ACM Transactions on Programming Languages and Systems (TOPLAS)
Improving data locality with loop transformations
ACM Transactions on Programming Languages and Systems (TOPLAS)
Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology
ICS '97 Proceedings of the 11th international conference on Supercomputing
High-level adaptive program optimization with ADAPT
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
Better tiling and array contraction for compiling scientific programs
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
ECO: An Empirical-Based Compilation and Optimization System
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Transforming Complex Loop Nests for Locality
The Journal of Supercomputing
Combining Models and Guided Empirical Search to Optimize for Multiple Levels of the Memory Hierarchy
Proceedings of the international symposium on Code generation and optimization
Predicting Unroll Factors Using Supervised Classification
Proceedings of the international symposium on Code generation and optimization
Facilitating the search for compositions of program transformations
Proceedings of the 19th annual international conference on Supercomputing
The Journal of Supercomputing
Fast, automatic, procedure-level performance tuning
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
Automated transformation for performance-critical kernels
LCSD '07 Proceedings of the 2007 Symposium on Library-Centric Software Design
Automated empirical tuning of scientific codes for performance and power consumption
Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers
A language for the compact representation of multiple program versions
LCPC'05 Proceedings of the 18th international conference on Languages and Compilers for Parallel Computing
LCPC'04 Proceedings of the 17th international conference on Languages and Compilers for High Performance Computing
Loop transformation recipes for code generation and auto-tuning
LCPC'09 Proceedings of the 22nd international conference on Languages and Compilers for Parallel Computing
Proceedings of the 9th conference on Computing Frontiers
POET: a scripting language for applying parameterized source-to-source program transformations
Software—Practice & Experience
Portable section-level tuning of compiler parallelized applications
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Layout-oblivious compiler optimization for matrix computations
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
AUGEM: automatically generate high performance dense linear algebra kernels on x86 CPUs
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
| Hi-index | 0.00 |
We present a framework which effectively combines programmable control by developers, advanced optimization by compilers, and flexible parameterization of optimizations to achieve portable high performance. We have extended ROSE, a C/C++/Fortran source-to-source optimizing compiler, to automatically analyze scientific applications and discover optimization opportunities. Instead of directly generating optimized code, our optimizer produces parameterized scripts in POET, an interpreted program transformation language, so that developers can freely modify the optimization decisions by the compiler and add their own domain-specific optimizations if necessary. The auto-generated POET scripts support extra optimizations beyond those available in the ROSE optimizer. Additionally, all the optimizations are parameterized at an extremely fine granularity, so the scripts can be ported together with their input code and automatically tuned for different architectures. Our results show that this approach is highly effective, and the code optimized by the auto-generated POET scripts can significantly outperform those optimized using the ROSE optimizer alone.