摘要:
A system for distributing a plurality of tasks over a plurality of nodes in a network includes: a plurality of processors for executing tasks; a plurality of nodes comprising processors; a task dispatcher; and a load balancer. The task dispatcher receives as input the plurality of tasks; calculates a task processor consumption value for the tasks; calculates a node processor consumption value for the nodes; calculates a target node processor consumption value for the nodes; and then calculates a load index value as a difference between the calculated node processor consumption for a node i and the target node processor consumption value for the node i. The balancer distributes the tasks among the nodes to balance the processor workload among the nodes according to the calculated load index value of each node, such that the calculated load index value of each node is substantially zero.
摘要:
A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
摘要:
A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
摘要:
A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
摘要:
A system for distributing a plurality of tasks over a plurality of nodes in a network includes: a plurality of processors for executing tasks; a plurality of nodes comprising processors; a task dispatcher; and a load balancer. The task dispatcher receives as input the plurality of tasks; calculates a task processor consumption value for the tasks; calculates a node processor consumption value for the nodes; calculates a target node processor consumption value for the nodes; and then calculates a load index value as a difference between the calculated node processor consumption for a node i and the target node processor consumption value for the node i. The balancer distributes the tasks among the nodes to balance the processor workload among the nodes according to the calculated load index value of each node, such that the calculated load index value of each node is substantially zero.
摘要:
A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
摘要:
A computer implemented method, data processing system, and computer program product for generating and applying a model to predict hardware performance hazards in a machine instruction sequence. The illustrative embodiments generate rules which specify relationships between a first instruction code sequence and hardware performance hazards. This rule generation is performed as a machine task rather than a human task (e.g., traditional hand coding tools). When a second instruction code sequence is received, the rules are applied to the second instruction code sequence. Responsive to a prediction that execution of the second instruction code sequence will cause the hardware performance hazards, instructions in the second instruction code sequence that cause the hardware performance hazards are identified.