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Data value speculation in superscalar processors

Autor
González, J.; Gonzalez, A.
Tipus d'activitat
Article en revista
Revista
Microprocessors and microsystems
Data de publicació
1998-11
Volum
22
Número
6
Pàgina inicial
293
Pàgina final
301
DOI
https://doi.org/10.1016/S0141-9331(98)00086-6 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0141933198000866 Obrir en finestra nova
Resum
Data dependences are a major limitation to the amount of instruction-level parallelism (ILP) that current processors can achieve. Data value speculation is a promising emerging approach that can eliminate the ordering imposed by data dependences. The objective of this work is to establish the performance potential of data value speculation. First, we study the performance of data value speculation for an ideal machine with infinite resources. Our results indicate that most performance benefit fo...
Paraules clau
Data speculation, Instruction-level parallelism, Speculative execution, Superscalar processors, Value prediction
Grup de recerca
ARCO - Microarquitectura i Compiladors

Participants