- #DATA STRUCTURES IN COMPILER DESIGN PRO#
- #DATA STRUCTURES IN COMPILER DESIGN SERIES#
- #DATA STRUCTURES IN COMPILER DESIGN MAC#
Keywords data cache misses data layout data locality inter-procedural optimization profile data reference pattern structure layout transformation whole program analysis 1. The Design and Analysis of Spatial Data Structures (Addison-Wesley series in computer science) Samet, Hanan on.
#DATA STRUCTURES IN COMPILER DESIGN PRO#
The remainder of Chapter 1 and all of Chapter 4 giv e an o v erview of the organization of a compiler and the prop erties of its ma jor data structures, while Chapter 14 sho ws ho w three pro duction.
#DATA STRUCTURES IN COMPILER DESIGN MAC#
Our results show that for some applications these layout optimizations can provide substantial performance improvement. It is useful to examine the mac hine co de pro duced b y existing compilers while studying this material. We present some performance results from the SPEC CPU2000 and the CPU2006 suites of benchmarks to demonstrate the effectiveness of our implementation. We present details of how these transformations can be achieved in the Open64 compiler, as well as the analyses required to safely and usefully perform the transformation. The data structure that is created and maintained by the compilers for information storing regarding the occurrence of various entities like names of variables. In this paper, we present the design and implementation of the transformations of structure splitting and structure peeling, in a commercial version of the Open64 compiler. No dynamic data structures, since no mechanism is provided for run time. These compiler transformations to optimize data layout include structure splitting, structure peeling, and structure field reordering. The course of Compiler design has pre-requites: Data Structures, Algorithms, Computer Architecture, Discrete Mathematical structures, Operating. Type checks: A compiler should report an error if an operator is applied to.
Symbol tables are discussed in Chapter 2. The data structure should be designed to allow the compiler to find the record for each name quickly and to store or retrieve data from that record quickly. Both are needed to quickly scan source files, to parse the tokens, to generate intermediate code, to optimize it and to link modules. The symbol table is a data structure containing a record for each variable name, with fields for the attributes of the name.
Compiler optimizations try to modify the layout of such data structures so that they are accessed in a more cache-friendly manner. But for the compiler designer a compiler is a beautiful balance between data structures and algorithms. These data structures are often declared as structs in C and classes in C++. Real-world applications are often written to traverse data structures in a manner that results in data cache miss overhead. A common performance problem faced by today's application programs is poor data locality.