Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Advanced compiler optimizations for supercomputers
Communications of the ACM - Special issue on parallelism
Automatic translation of FORTRAN programs to vector form
ACM Transactions on Programming Languages and Systems (TOPLAS)
Supercompilers for parallel and vector computers
Supercompilers for parallel and vector computers
The C programming language
The C++ programming language (2nd ed.)
The C++ programming language (2nd ed.)
Advanced compiler design and implementation
Advanced compiler design and implementation
Exploiting superword level parallelism with multimedia instruction sets
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
A vectorizing compiler for multimedia extensions
International Journal of Parallel Programming - Special issue on instruction-level parallelism and parallelizing compilation, Part 1
The parallel execution of DO loops
Communications of the ACM
Optimizing compilers for modern architectures: a dependence-based approach
Optimizing compilers for modern architectures: a dependence-based approach
Dependence Analysis
Parallel Programming and Compilers
Parallel Programming and Compilers
The Complete Guide to Mmx Technology
The Complete Guide to Mmx Technology
Modern Compiler Implementation in C
Modern Compiler Implementation in C
Conversion of control dependence to data dependence
POPL '83 Proceedings of the 10th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
A Guidebook to FORTRAN on Supercomputers
A Guidebook to FORTRAN on Supercomputers
Automatic intra-register vectorization for the Intel architecture
International Journal of Parallel Programming
Structure of Computers and Computations
Structure of Computers and Computations
Internet Streaming SIMD Extensions
Computer
Compiling for SIMD Within a Register
LCPC '98 Proceedings of the 11th International Workshop on Languages and Compilers for Parallel Computing
Intel's MMXTM Technology - A New Instruction Set Extension
COMPCON '97 Proceedings of the 42nd IEEE International Computer Conference
An Empirical Study On the Vectorization of Multimedia Applications for Multimedia Extensions
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Proceedings of the 20th annual international conference on Supercomputing
Optimizing techniques for saturated arithmetic with first-order linear recurrence
Proceedings of the 2009 ACM symposium on Applied Computing
Boosting the performance of multimedia applications using SIMD instructions
CC'05 Proceedings of the 14th international conference on Compiler Construction
Overflow controlled SIMD arithmetic
LCPC'04 Proceedings of the 17th international conference on Languages and Compilers for High Performance Computing
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The MMXTM technology and SSE/SSE2 (streaming-SIMD-extensions) introduced a variety of SIMD instructions that can exploit data parallelism in numerical and multimedia applications. In particular, new saturation and clipping instructions can boost the performance of applications that make extensive use of such operations. Unfortunately, due to the lack of support for saturation and clipping operators in e.g. C/C++ or Fortran, these operations must be explicitly coded with conditional constructs that test the value of operands before actual wrap-around arithmetic is performed. As a result, inlineassembly or language extensions are most commonly used to exploit the new instructions. In this paper, we explore an alternative approach, where the compiler automatically maps high-level saturation and clipping idioms onto efficient low-level instructions. The effectiveness of this approach is demonstrated with some experiments.