International Business Machines Corporation

Olga Golovanevsky

Ayal Zaks

Alon Dayan

Clark Debs Jeffries

Everett Arthur Corl, Jr

David Joel Edelsohn

Avraham Zehavi

David Joel Edelsohm

Robert Franklin Kantner, Jr

Randall William Worzella

Dynamic determination of affinity between fields of structure may be determined based on accesses to the same instance. The affinity may be utilized in determining a data layout of a structure so as to optimize performance of a target program. The affinity determination may be an estimation based upon a trace of an execution of the target program. Access relation between proximate accesses to fields of the same instance may be utilized to estimate an optimized data layout of the structure.

Instance-based field affinity optimization

A data layout optimization may utilize affinity estimation between pairs of fields of a record in a computer program. The affinity estimation may be determined based on a trace of an execution and in view of actual processing entities performing each access to the fields. The disclosed subject matter may be configured to be aware of a specific architecture of a target computer having a plurality of processing entities, executing the program so as to provide an improved affinity estimation which may take into account both false sharing issues, spatial locality improvement and the like.

Architecture-aware field affinity estimation

A method and system for storing a plurality of filter rules in a computer system is disclosed. The plurality of filter rules uses at least one range of values in at least one dimension. The method and system include separating a portion of the plurality of filter rules into a plurality of pure subsets of filter rules. Each of the plurality of pure subsets of filter rules includes at least one of the plurality of filter rules. The method and system also include combining a portion of the plurality of pure subsets of filter rules to provide a combined subset and determining whether an efficiency of utilizing the plurality of filter rules is improved by combining the portion of the plurality of pure subsets of filter rules. The method and system further includes storing the plurality of filter rules including storing the portion of the plurality of subsets of filter rules as the combined subset if the efficiency of searching the plurality of filter rules is improved.

Method and system for partitioning filter rules for multi-search enforcement

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Haifa, Israel

Olga Golovanevsky