Supercompilers for parallel and vector computers
Supercompilers for parallel and vector computers
The high performance Fortran handbook
The high performance Fortran handbook
Optimizing Supercompilers for Supercomputers
Optimizing Supercompilers for Supercomputers
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
A New Transformation Method to Generate Optimized DO Loop from FORALL Construct
PAS '97 Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
Optimizing supercompilers for supercomputers
Optimizing supercompilers for supercomputers
Compiling fortran 90d/hpf for distributed memory mimd computers
Compiling fortran 90d/hpf for distributed memory mimd computers
| Hi-index | 0.00 |
Among data parallel languages, which were suggested to solve programming problems of distributed memory machines, HPF is regarded as standard data parallel language. Most HPF compilers are source-to-source translators because they can be implemented easily. Also, they currently generate significant amount of ineffective codes. In particular, the FORALL construct is converted into several DO loops, so loop overhead, which exacerbates program performance of these codes is substantially increased. Therefore HPF source-to-source compilers require some techniques to produce an optimized DO loop from the FORALL construct. The authors propose a transformation method to reduce loop overhead for the FORALL construct. For this, they define and use a relation distance vector which can represent both data dependence information and flow information. Then they evaluate and analyze the execution time for the codes converted by their method and by the PARADIGM method in aspects of array size and dependence distance.