DocumentCode
1305171
Title
Dynamic and transparent binary translation
Author
Gschwind, Michael ; Altman, Erik R. ; Sathaye, Sumedh ; Ledak, Paul ; Appenzeller, David
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume
33
Issue
3
fYear
2000
fDate
3/1/2000 12:00:00 AM
Firstpage
54
Lastpage
59
Abstract
High-frequency design and instruction-level parallelism (ILP) are important for high-performance microprocessor implementations. The Binary-translation Optimized Architecture (BOA), an implementation of the IBM PowerPC family, combines binary translation with dynamic optimization. The authors use these techniques to simplify the hardware by bridging a semantic gap between the PowerPC´s reduced instruction set and even simpler hardware primitives. Processors like the Pentium Pro and Power4 have tried to achieve high frequency and ILP by implementing a cracking scheme in hardware: an instruction decoder in the pipeline generates multiple micro-operations that can then be scheduled out of order. BOA relies on an alternative software approach to decompose complex operations and to generate schedules, and thus offers significant advantages over purely static compilation approaches. This article explains BOA´s translation strategy, detailing system issues and architecture implementation
Keywords
computer architecture; instruction sets; processor scheduling; program interpreters; IBM PowerPC family; Pentium Pro; Power4; binary-translation optimized architecture; complex operation decomposition; dynamic binary translation; dynamic optimization; hardware; hardware primitives; high-frequency design; high-performance microprocessor implementations; instruction decoder; instruction-level parallelism; multiple micro-operations; pipeline; reduced instruction set; schedule generation; semantic gap; software approach; transparent binary translation; Computer architecture; Frequency; Hardware; Microprocessors; Parallel processing; Power system management; Processor scheduling; Reduced instruction set computing; Software performance; VLIW;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.825696
Filename
825696
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