Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/24144
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mitrevski, P | en_US |
dc.contributor.author | Gushev, Marjan | en_US |
dc.contributor.author | Mishev, Anastas | en_US |
dc.date.accessioned | 2022-11-04T10:52:03Z | - |
dc.date.available | 2022-11-04T10:52:03Z | - |
dc.date.issued | 2000-06-13 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/24144 | - |
dc.description.abstract | In this article we review the concepts of branch, value and meniory prediction used in conjunction with control and Liata speculative execution in superscalm processors. Since the amount of available instruction level parallelism within a basic block is relatively small, control speculation techniques increase the number of candidate instructions for execution. Moreover, the integration of value and memory prediction in superscalar processors introduces a new kind of speculative execution. Data Jpeculation techniques allow the processor to execute instructions beyond the limit of true data RAW depemkncies. We identifi data speculation as a natural extension of control speculation and capture their similarities and diflerences. We also raise a new question: is the analytical mockelling approach really infeasible? | en_US |
dc.publisher | IEEE | en_US |
dc.subject | superscalar processor, control and dzta speculation, branch prediction, value prediction, and memory prediction | en_US |
dc.title | Prediction and speculation techniques in ILP | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | ITI 2000. Proceedings of the 22nd International Conference on Information Technology Interfaces (Cat. No. 00EX411) | en_US |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10.0000ieeexplore.ieee.org915824.pdf | 623.94 kB | Adobe PDF | View/Open |
Page view(s)
62
checked on Oct 11, 2024
Download(s)
24
checked on Oct 11, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.