buzzword
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buzzword [2014/02/19 19:20] rachata |
buzzword [2014/02/21 20:35] rachata |
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| * Register aliasing table | * Register aliasing table | ||
| + | ===== Lecture 15 (2/21 Fri.) ===== | ||
| + | |||
| + | * OoO --> Restricted Dataflow | ||
| + | * Extracting parallelism | ||
| + | * What are the bottlenecks? | ||
| + | * Issue width | ||
| + | * Dispatch width | ||
| + | * Parallelism in the program | ||
| + | * More example on slide #10 | ||
| + | * What does it mean to be restricted data flow | ||
| + | * Still visible as a Von Neumann model | ||
| + | * Where does the efficiency come from? | ||
| + | * Size of the scheduling windors/reorder buffer. Tradeoffs? What make sense? | ||
| + | * Load/store handling | ||
| + | * Would like to schedule them out of order, but make them visible in-order | ||
| + | * When do you schedule the load/store instructions? | ||
| + | * Can we predict if load/store are dependent? | ||
| + | * This is one of the most complex structure of the load/store handling | ||
| + | * What information can be used to predict these load/store optimization? | ||
| + | * Note: IPC = 1/CPI | ||
| + | * Centralized vs. distributed? What are the tradeoffs? | ||
| + | * How to handle when there is a misprediction/recovery | ||
| + | * Token dataflow arch. | ||
| + | * What are tokens? | ||
| + | * How to match tokens | ||
| + | * Tagged token dataflow arch. | ||
| + | * What are the tradeoffs? | ||
| + | * Difficulties? | ||
buzzword.txt · Last modified: 2015/04/27 18:20 by rachata
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