The Community for Technology Leaders
2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA) (2001)
Nuevo Leone, Mexico
Jan. 20, 2001 to Jan. 24, 2001
ISBN: 0-7695-1019-1
pp: 0133
Krishnan Kailas , University of Maryland,College Park
Ashok Agrawala , University of Maryland,College Park
Kemal Ebcioglu , IBM Corporation
Abstract: Clustered ILP processors are characterized by a large number of non-centralized on-chip resources grouped into clusters. Traditional code generation schemes for these processors consist of multiple phases for cluster assignment, register allocation and instruction scheduling. Most of these approaches need additional re-scheduling phases because they often do not impose finite resource constraints in all phases of code generation.These phase-ordered solutions have several drawbacks,resulting in the generation of poor performance code. Moreover, the iterative/back-tracking algorithms used in some of these schemes have large running times. In this paper we present CARS, a code generation framework for Clustered ILP processors, which combines the cluster assignment, register allocation, and instruction scheduling phases into a single code generation phase, thereby eliminating the problems associated with phase-ordered solutions. The CARS algorithm explicitly takes into account all the resource constraints at each cluster scheduling step to reduce spilling and to avoid iterative re-scheduling steps. We also present a new on-the-fly register allocation scheme developed for CARS. We describe an implementation of the proposed code generation framework and the results of a performance evaluation study using the SPEC95/2000 and MediaBench benchmarks.
Krishnan Kailas, Ashok Agrawala, Kemal Ebcioglu, "CARS :A New Code Generation Framework for Clustered ILP Processors", 2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA), vol. 00, no. , pp. 0133, 2001, doi:10.1109/HPCA.2001.903258
170 ms
(Ver 3.3 (11022016))