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» Understanding Prediction Limits Through Unbiased Branches
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APCSAC
2006
IEEE
13 years 10 months ago
Understanding Prediction Limits Through Unbiased Branches
The majority of currently available branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but they do...
Lucian N. Vintan, Arpad Gellert, Adrian Florea, Ma...
ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
13 years 9 months ago
Understanding the backward slices of performance degrading instructions
For many applications, branch mispredictions and cache misses limit a processor’s performance to a level well below its peak instruction throughput. A small fraction of static i...
Craig B. Zilles, Gurindar S. Sohi
WCRE
2009
IEEE
13 years 11 months ago
SQUAD: Software Quality Understanding through the Analysis of Design
—Object-oriented software quality models usually use metrics of classes and of relationships among classes to assess the quality of systems. However, software quality does not de...
Foutse Khomh
JSA
2006
97views more  JSA 2006»
13 years 4 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
ISCA
2003
IEEE
169views Hardware» more  ISCA 2003»
13 years 9 months ago
Virtual Simple Architecture (VISA): Exceeding the Complexity Limit in Safe Real-Time Systems
Meeting deadlines is a key requirement in safe realtime systems. Worst-case execution times (WCET) of tasks are needed for safe planning. Contemporary worst-case timing analysis t...
Aravindh Anantaraman, Kiran Seth, Kaustubh Patil, ...