Sambanova Systems, Inc.

Micron Technology Incorporated

Matthew Thomas Grimm

Raghu Prabhakar

Sumti Jairath

Kin Hing Leung

Sitanshu Gupta

Yuan Lin

Luca Boasso

Manish K Shah

Gregory Frederick Grohoski

Ram Sivaramakrishnan

Mark Luttrell

Ravinder Kumar

David Alan Koeplinger

Ranen Chatterjee

Jeffery M Tanner

A reconfigurable processor comprises an array of processing units and an instrumentation network. The array of processing units is configured to execute runtime events to execute an application. The instrumentation network is operatively coupled to the array of processing units. The instrumentation network comprises a control bus configured to form control signal routes in the instrumentation network. The instrumentation network further comprises a plurality of instrumentation counters having inputs and outputs connected to the control bus and to the processing units. Instrumentation counters in the plurality instrumentation units are configurable to consume control signals on the inputs and produce counts of the runtime events on the outputs.

Instrumentation networks for data flow graphs

A data processing system comprises memory, compile time logic, runtime logic, and instrumentation profiling logic. The memory stores a dataflow graph for an application. The dataflow graph has a plurality of compute nodes that are configured to be producers to produce data for execution of the application, and to be consumers to consume the data for execution of the application. The compile time logic partitions execution of the dataflow graph into stages. Each of the stages has one or more compute nodes, one or more producers, and one or more consumers. The runtime logic determines a processing latency for each of the stages by calculating time elapsed between producers of a particular stage receiving input data and consumers of the particular stage receiving output data. The instrumentation profiling logic generates performance statistics for the dataflow graph based on the processing latency determined for each of the stages.

Compile time instrumentation of data flow graphs

A data processing system comprises a pool of reconfigurable data flow resources and a runtime processor. The pool of reconfigurable data flow resources includes arrays of physical configurable units and memory. The runtime processor includes logic to receive a plurality of configuration files for user applications. The configuration files include configurations of virtual data flow resources required to execute the user applications. The runtime processor also includes logic to allocate physical configurable units and memory in the pool of reconfigurable data flow resources to the virtual data flow resources and load the configuration files to the allocated physical configurable units. The runtime processor further includes logic to execute the user applications using the allocated physical configurable units and memory.

Runtime patching of configuration files

A data processing system comprises compile time logic, runtime logic, a control bus, and instrumentation units operatively coupled to processing units of an array. The compile time logic is configured to generate configuration files for a dataflow graph. The runtime logic is configured to execute the configuration files on the array, and to trigger start and stop events, as defined by the configuration files, in response to implementation of compute and memory operations of the dataflow graph on the array. A control bus is configured to form event routes in the array. The instrumentation units have inputs and outputs connected to the control bus and to the processing units. The instrumentation units are configured to consume the start events on the inputs and start counting clock cycles, consume the stop events on the inputs and stop counting the clock cycles, and report the counted clock cycles on the outputs.

Instrumentation profiling for reconfigurable processors

An apparatus includes a state machine engine. The state machine engine may also include an automaton, whereby the automaton is configured to analyze data from a beginning of an input data stream until a point when an end of data signal is seen. The automaton may further be configured to report an event representative of a satisfaction of a Boolean clause of a conjunctive normal form (CNF) Boolean expression representative of a Boolean Satisfiability problem (SAT) by a portion of the input data stream.

Boolean satisfiability

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Boise, ID, United States of America

Matthew Thomas Grimm