Integrated predicated and speculative execution in the IMPACT EPIC architecture

David I. August, Daniel A. Connors, Scott A. Mahlke, John W. Sias, Kevin M. Crozier, Ben Chung Cheng, Patrick R. Eaton, Qudus B. Olaniran, Wen mei W. Hwu

Research output: Contribution to journalConference articlepeer-review

72 Scopus citations


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 predicted 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.

Original languageEnglish (US)
Pages (from-to)227-237
Number of pages11
JournalConference Proceedings - Annual International Symposium on Computer Architecture, ISCA
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 25th Annual International Symposium on Computer Architecture - Barcelona, Spain
Duration: Jun 27 1998Jul 1 1998

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture


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