Abstract: Techniques are disclosed for data manipulation within a reconfigurable computing environment for data flow graph computation using exceptions. Processing elements are configured within a reconfigurable fabric to implement a data flow graph. The processing elements are loaded with process agents. Valid data is executed by a first process agent on a first processing element, where the first process agent corresponds to a starting node of the data flow graph. A second processing element detects that an error exception has occurred, where a second process agent is running on the second processing element. A done signal to a third process agent is withheld by the second process agent, where the third process agent is running on a third processing element. The second process agent raises an interrupt request, where the interrupt request is based on the detecting that an error exception has occurred.

Abstract: Techniques are disclosed for data manipulation within a reconfigurable computing environment for data flow graph computation using exceptions. Processing elements are configured within a reconfigurable fabric to implement a data flow graph. The processing elements are loaded with process agents. Valid data is executed by a first process agent on a first processing element, where the first process agent corresponds to a starting node of the data flow graph. A second processing element detects that an error exception has occurred, where a second process agent is running on the second processing element. A done signal to a third process agent is withheld by the second process agent, where the third process agent is running on a third processing element. The second process agent raises an interrupt request, where the interrupt request is based on the detecting that an error exception has occurred.

Abstract: Techniques are disclosed for checkpointing data flow graph computation for machine learning. Processing elements within a reconfigurable fabric are configured to implement a data flow graph. Nodes of the data flow graph can include variable nodes. The processing elements are loaded with process agents. Valid data is executed by a first process agent. The first process agent corresponds to a starting node of the data flow graph. Invalid data is sent to the first process agent. The invalid data initiates a checkpoint operation for the data flow graph. Invalid data is propagated from the starting node of the data flow graph to other nodes within the data flow graph. The variable nodes are paused upon receiving invalid data. Paused variable nodes within the data flow graph are restarted by issuing a run command, and valid data is sent to the starting node of the data flow graph.

Abstract: Techniques are disclosed for dynamic reconfiguration using data transfer control. Clusters on a reconfigurable fabric are accessed to implement a logical operation. The logical operation can include a Boolean operation, a matrix operation, a tensor operation, etc. Clusters from the plurality of clusters are provisioned for implementation of a first agent on the reconfigurable fabric. The clusters can include quads. The one or more clusters provisioned for the first agent include a first data transfer control block. Additional clusters from the plurality of clusters are provisioned for implementation of a second agent on the reconfigurable fabric. The additional clusters provisioned for the second agent include a second data transfer control block. The logical operation is performed using the first agent. Control information is transferred from the first data transfer control block to the second data transfer control block.