JavaScript is required to for searching.
Skip Navigation Links
Exit Print View
Oracle Solaris Studio 12.3: C User's Guide     Oracle Solaris Studio 12.3 Information Library
search filter icon
search icon

Document Information


1.  Introduction to the C Compiler

2.  C-Compiler Implementation-Specific Information

3.  Parallelizing C Code

3.1 Overview of Parallelization

3.2 Parallelizing for OpenMP

3.2.1 Handling OpenMP Runtime Warnings

3.2.2 Environment Variables

3.2.3 Using restrict in Parallel Code

3.3 Data Dependence and Interference

3.3.1 Parallel Execution Model

3.3.2 Private Scalars and Private Arrays

3.3.3 Storeback

3.3.4 Reduction Variables

3.4 Speedups

3.4.1 Amdahl's Law Overheads Gustafson's Law

3.5 Load Balance and Loop Scheduling

3.5.1 Static or Chunk Scheduling

3.5.2 Self-Scheduling

3.5.3 Guided Self-Scheduling

3.6 Loop Transformations

3.6.1 Loop Distribution

3.6.2 Loop Fusion

3.6.3 Loop Interchange

3.7 Aliasing and Parallelization

3.7.1 Array and Pointer References

3.7.2 Restricted Pointers

3.8 Memory-Barrier Intrinsics

4.  lint Source Code Checker

5.  Type-Based Alias Analysis

6.  Transitioning to ISO C

7.  Converting Applications for a 64-Bit Environment

8.  cscope: Interactively Examining a C Program

A.  Compiler Options Grouped by Functionality

B.  C Compiler Options Reference

C.  Implementation-Defined ISO/IEC C99 Behavior

D.  Features of C99

E.  Implementation-Defined ISO/IEC C90 Behavior

F.  ISO C Data Representations

G.  Performance Tuning

H.  Oracle Solaris Studio C: Differences Between K&R C and ISO C


Chapter 3

Parallelizing C Code

The Oracle Solaris Studio C compiler can optimize code to run on shared-memory multiprocessor/multicore/multithreaded systems. The compiled code can execute in parallel using the multiple processors on the system. Both automatic and explicit parallelization methods are available. This chapter explains how you can take advantage of the compiler’s parallelizing features.