SIMD Programming Manual for Linux and Windows

1. Auflage. 2004
ISBN: 978-1-85233-794-0
Verlag: Springer

Buch, Englisch, 352 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 2070 g

Reihe: Springer Professional Computing

A number of widely used contemporary processors have instruction-set extensions for improved performance in multi-media applications. The aim is to allow operations to proceed on multiple pixels each clock cycle. Such instruction-sets have been incorporated both in specialist DSPchips such as the Texas C62xx (Texas Instruments, 1998) and in general purpose CPU chips like the Intel IA32 (Intel, 2000) or the AMD K6 (Advanced Micro Devices, 1999). These instruction-set extensions are typically based on the Single Instruc tion-stream Multiple Data-stream (SIMD) model in which a single instruction causes the same mathematical operation to be carried out on several operands, or pairs of operands, at the same time. The level or parallelism supported ranges from two floating point operations, at a time on the AMD K6 architecture to 16 byte operations at a time on the Intel P4 architecture. Whereas processor architectures are moving towards greater levels of parallelism, the most widely used programming languages such as C, Java and Delphi are structured around a model of computation in which operations takeplace on a single value at a time. This was appropriate when processors worked this way, but has become an impediment to programmers seeking to make use of the performance offered by multi-media instruction -sets. The introduction of SIMD instruction sets (Peleg et al.

Zielgruppe

Industry, practitioners, scientists, students, libraries

Autoren/Hrsg.

Renfrew, Kenneth

Cockshott, Paul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Betriebssysteme Linux Betriebssysteme, Open Source Betriebssysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Prozedurale Programmierung

Inhaltsverzeichnis

I SIMD Programming.- 1 Computer Speed, Program Speed.- 2 SIMD Instruction-sets.- 3 SIMD Programming in Assembler and C.- 4 Intel SIMD Instructions.- 5 3DNOW Instructions.- II SIMD Programming Languages.- 6 Another Approach: Data Parallel Languages.- 7 Basics of Vector Pascal.- 8 Algorithmic Features of Vector Pascal.- 9 User-defined Types.- 10 Input and Output.- 11 Permutations and Polymorphism.- III Programming Examples.- 12 Advanced Set Programming.- 13 Parallel Image Processing.- 14 Pattern Recognition and Image Compression.- 15 3D Graphics.- IV VIPER.- 16 Introduction to VIPER.- Appendix A Compiler Porting Tools.- A.1 Dependencies.- A.2 Compiler Structure.- A.2.1 Vectorisation.- A.2.2 Porting Strategy.- A.3 ILCG.- A.4 Supported Types.- A.4.1 Data Formats.- A.4.2 Typed Formats.- A.4.3 ref Types.- A.5 Supported Operations.- A.5.1 Type Casts.- A.5.2 Arithmetic.- A.5.3 Memory.- A.5.4 Assignment.- A.5.5 Dereferencing.- A.6 Machine Description.- A.6.1 Registers.- A.6.2 Register Sets.- A.6.3 Register Arrays.- A.6.4 Register Stacks.- A.6.5 Instruction Formats.- A.7 Grammar of ILCG.- A.8 ILCG Grammar.- A.8.1 Helpers.- A.8.2 Tokens.- A.8.3 Non-terminal Symbols.- Appendix B Software Download.- Appendix C Using the Command Line Compiler.- C.1 Invoking the Compiler.- C.1.1 Environment Variable.- C.1.2 Compiler Options.- C.1.3 Dependencies.- C.2 Calling Conventions.- C.3 Array Representation.- C.3.1 Range Checking.- References.