Abstract: A method, apparatus and product for identifying a bot agent using behavioral features. The method comprising obtaining a set of behavioral features of a usage of an input device during an interaction of an agent with a page, wherein the set of behavioral features are consistent with a human-generated interaction, wherein the set of behavioral features are generated based on events obtained from a client device used by the agent; automatically estimating whether the agent is a bot based on comparison of the set of behavioral features with one or more additional sets of behavioral features, wherein the one or more additional sets of behavioral features were previously obtained based on interactions of one or more agents with one or more pages; and in response to an estimation that the agent is a bot, performing a responsive action.

Abstract: A method, apparatus and product for identifying a bot agent using behavioral features. The method comprising obtaining a set of behavioral features of a usage of an input device during an interaction of an agent with a page, wherein the set of behavioral features are consistent with a human-generated interaction, wherein the set of behavioral features are generated based on events obtained from a client device used by the agent; automatically estimating whether the agent is a bot based on comparison of the set of behavioral features with one or more additional sets of behavioral features, wherein the one or more additional sets of behavioral features were previously obtained based on interactions of one or more agents with one or more pages; and in response to an estimation that the agent is a bot, performing a responsive action.

Abstract: 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.

Abstract: 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.

Abstract: A data layout optimization may utilize affinity estimation between paris 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.

Abstract: 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.