Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...
Symbolic representations of systems can achieve a high degree of compaction relative to more explicit forms. By casting an analysis task in terms of operations on a symbolic repre...
Building processors with large instruction windows has been proposed as a mechanism for overcoming the memory wall, but finding a feasible and implementable design has been an elu...
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...