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Dynamic Hammock Predication for Non-predicated Instruction Set Architectures
 

Summary: Dynamic Hammock Predication
for Non-predicated Instruction Set Architectures
Artur Klauserx
Todd Austiny
Dirk Grunwaldx
Brad Calderz
x
University of Colorado at Boulder
Department of Computer Science
y
Intel
Microcomputer Research Lab
z
University of California, San Diego
Department of Computer Science and Engineering
to appear in Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT) 1998
Abstract
Conventional speculative architectures use branch prediction to
evaluate the most likely execution path during program execution.
However, certain branches are difficult to predict. One solution

  

Source: Austin, Todd M. - Department of Electrical Engineering and Computer Science, University of Michigan
Calder, Bradley - Department of Computer Science and Engineering, University of California at San Diego
Sair, Suleyman - Department of Electrical and Computer Engineering, North Carolina State University

 

Collections: Computer Technologies and Information Sciences; Engineering