DocumentCode :
157841
Title :
CDTT: Compiler-generated data-triggered threads
Author :
Hung-Wei Tseng ; Tullsen, Dean M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2014
fDate :
15-19 Feb. 2014
Firstpage :
650
Lastpage :
661
Abstract :
This paper presents CDTT, a compiler framework that takes C/C++ code and automatically generates a binary that eliminates dynamically redundant code without programmer intervention. It does so by exploiting underlying hardware or software support for the data-triggered threads (DTT) programming and execution model. With the help of idempotence analysis and inter-procedural name dependence analysis, CDTT identifies potential code regions and composes support thread functions that execute as soon as live-in data changes. CDTT can also use profile data to target the elimination of redundant computation. The compiled binary running on top of a software runtime system can achieve nearly the same level of performance as careful hand-coded modifications in most benchmarks. CDTT improves the performance of serial C SPEC benchmarks by as much as 57% (average 11%) on a Nehalem processor.
Keywords :
C++ language; multi-threading; program compilers; C-C++ code; CDTT; Nehalem processor; compiler framework; compiler-generated data-triggered threads; data-triggered threads programming; hand-coded modifications; hardware supportfor; idempotence analysis; interprocedural name dependence analysis; live-in data changes; profile data; redundant computation; serial C SPEC benchmarks; software runtime system; software supportfor; Computational modeling; Data structures; Hardware; Instruction sets; Parallel processing; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computer Architecture (HPCA), 2014 IEEE 20th International Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/HPCA.2014.6835973
Filename :
6835973
Link To Document :
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