DocumentCode
2191530
Title
Integrated predicated and speculative execution in the IMPACT EPIC architecture
Author
August, David I. ; Connors, Daniel A. ; Mahlke, Scott A. ; Sias, John W. ; Crozier, Kevin M. ; Cheng, Ben-Chung ; Eaton, Patrick R. ; Olaniran, Qudus B. ; Hwu, Wen-Mei W.
Author_Institution
Center for Reliable & High Performance Comput., Illinois Univ., Urbana, IL, USA
fYear
1998
fDate
27 Jun-1 Jul 1998
Firstpage
227
Lastpage
237
Abstract
Explicitly Parallel Instruction Computing (EPIC) architectures require the compiler to express program instruction level parallelism directly to the hardware. EPIC techniques which enable the compiler to represent control speculation, data dependence speculation, and predication have individually been shown to be very effective. However these techniques have not been studied in combination with each other. This paper presents the IMPACT EPIC Architecture to address the issues involved in designing processors based on these EPIC concepts. In particular we focus on new execution and recovery models in which microarchitectural support for predicated execution is also used to enable efficient recovery from exceptions caused by speculatively executed instructions. This paper demonstrates that a coherent framework to integrate the three techniques can be elegantly designed to achieve much better performance than each individual technique could alone provide
Keywords
parallel architectures; performance evaluation; IMPACT EPIC architecture; compiler; control speculation; data dependence speculation; explicitly parallel instruction computing architectures; microarchitectural support; program instruction level parallelism; recovery models; Computer aided instruction; Computer architecture; Costs; Electronic switching systems; Hardware; Laboratories; Microprocessors; Parallel processing; Process design; Registers;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architecture, 1998. Proceedings. The 25th Annual International Symposium on
Conference_Location
Barcelona
ISSN
1063-6897
Print_ISBN
0-8186-8491-7
Type
conf
DOI
10.1109/ISCA.1998.694777
Filename
694777
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