Abstract: A data processing system includes a coarse-grained reconfigurable (CGR) processor and a compiler configured to generate one or more configuration files for an application for execution on the CGR processor. The CGR processor includes an array of pattern compute units (PCUs) and pattern memory units (PMUs). A PCU comprises a plurality of single-instruction multiple data (SIMD) units configurable to form a datapath. The CGR processor is coupled to configure a datapath including a SIMD, using a set of configurations bits corresponding to an operation related to the task. The CGR processor is coupled to switch among the plurality of tasks and their corresponding PCU contexts during execution of the dataflow graph. The CGR processor is coupled to switch among tasks via static switching or dynamic switching, in response to the triggering of a task complete event generated by a preset counter, indicating completion of a current task.

Abstract: A cylindrical reactor for a flow battery includes a solid anode body with through-holes through which hollow membrane tubes extend. The hollow membrane tubes surround cathodic wires. A first electrolyte is pumped in from a first electrolyte tank between the cathodic wires and the hollow membrane tubes, while a second electrolyte is pumped in from a second electrolyte tank between the hollow membrane tubes and the surrounding portion of the solid anode body. Redox half reactions between the first electrolyte and the second electrolyte are thereby able to happen across the hollow membrane tubes.

Abstract: A coarse-grained reconfigurable (CGR) processor includes a configurable unit comprising a fracturable data path with a plurality of sub-paths. The fracturable data path includes multiple stages that each include an arithmetic logic unit (ALU), selection logic to select two or more inputs for the ALU, and sub-path pipeline registers. The fracturable data path also includes a first output configurable to provide first data selected from any one of the sub-path pipeline registers and a second output configurable to provide second data selected from any one of the sub-path pipeline registers. The configurable unit includes a configuration store to store configuration data to provide a two or more immediate data fields for each stage of the fracturable data path and configuration information for the ALUs, the selection logic, and to select the first data and the second data for the first output and the second output.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: A convolution calculation engine includes a kernel element counter for a convolution operation between a kernel and an input tensor. The kernel element counter wraps back to an initial kernel count value after reaching a maximum kernel count value. The convolution calculation engine also includes an offset look-up table (LUT) that provides a relative input offset into the input tensor based on an output of the kernel element counter and input location calculation logic that provides an input location within an input tensor for the convolution operation based on the relative input offset provided by the offset LUT.

Abstract: A convolution calculation engine to perform a convolution operation includes a convolution address compute unit. The convolution address compute unit includes an outer output base location register to provide an outer output base location for the convolution operation and an outer input base location register to provide an outer input base location for the convolution operation. It also includes a kernel element counter that starts to count from an initial kernel count value to a maximum kernel count value in response to a change in the outer output base location and a kernel offset generator to generate a kernel offset based on an output of the kernel element counter. In addition, the convolution address compute unit includes inner location logic to calculate an output location based on the outer output base location and an input location based on the outer input base location and output of the kernel element counter.

Abstract: An on-demand compute environment comprises a plurality of nodes within an on-demand compute environment available for provisioning and a slave management module operating on a dedicated node within the on-demand compute environment, wherein upon instructions from a master management module at a local compute environment, the slave management module modifies at least one node of the plurality of nodes.

Abstract: A computing method comprises combining an M×K multiplicand matrix and P number of addend vectors to generate an M×(K+P) integrated matrix. The addend vectors can comprise a vector of constants and/or a column of an addend matrix. The method further comprises generating a row-extended matrix comprising a K×N multiplicand matrix and P rows of a constant vector. The method computes (K+P) products of a row of the integrated matrix multiplied by a column of the row-extended matrix and computing an integrated sum of the products. A multiply-accumulate computation can compute the integrated sum and is equivalent to a sum of K number of products of a column of the M×K matrix multiplied by a row of the K×N multiplicand matrix and added to the P number of addend vectors. A computing system can implement the method and can include a matrix computation unit.

Abstract: A computer system includes an array of reconfigurable processor blocks which execute fragments of a larger data processing operation. An array controller distributes a control signal to the reconfigurable processors in the array and receives control signals for the respective execution fragments. The control signal may include quiesce logic or other control methods to execute the effective execution fragments of the larger data processing operation when individual processors become available.

Abstract: A compiler generates a configuration file to configure a fracturable data path in a coarse-grained reconfigurable processor. The configuration file, when loaded into the reconfigurable processor enables a fracturable data path in a configurable unit of the reconfigurable processor to produce multiple independent address sequences by analyzing two address calculations to determine the number of pipeline stages for each calculation. The configuration file includes first and second configuration data for distinct sets of computational stages within the pipelined computation stages, allowing the processor to generate a first address sequence using N pipeline stages and a second address sequence using M pipeline stages, where N and M are positive integers.

Abstract: A logic unit in an array of processing units is configurable to consume source tokens and a status signal and to produce barrier tokens and an enable signal based on the source tokens and the status signal.

Abstract: A reconfigurable data processor comprises an array of configurable units configurable to allocate a plurality of sets of configurable units in the array to implement respective execution fragments of the data processing operation. Quiesce logic is coupled to configurable units in the array, configurable to respond to a quiesce control signal to quiesce the sets of configurable units in the array on quiesce boundaries of the respective execution fragments, and to forward quiesce ready signals for the respective execution fragments when the corresponding sets of processing units are ready. An array quiesce controller distributes the quiesce control signal to configurable units in the array, and receives quiesce ready signals for the respective execution fragments from the quiesce logic.

Abstract: A complier produces a configuration file to configure a fracturable data path of a configurable unit in a coarse-grained reconfigurable processor to concurrently generate different address sequences generated using different address associated with different operations. The fracturable data path includes multiple computation stages respectively including a pipeline register. The compiler analyzes a first address calculation and a second address calculation and assigns a first set of stages to the first operation to generate the first address sequence and a second set of stages to the second operation to generate the second address sequence using the second set of stages, based on the analysis. A configuration file for the configurable unit is generated by the compiler that assigns the first set of stages to the first operation and the second set of stages to the second operation and includes two or more immediate values for each computation stage.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: A computing method comprises generating an integrated matrix having (K+P) number of columns, columns 1 through K of the integrated matrix comprising columns 1 through K of a multiplicand matrix and columns (K+1) though P of the integrated matrix comprising addend columns. The method computes K number of products of elements of a row of the integrated matrix multiplied by elements of a column of a second multiplicand matrix; computes a (K+1) product comprising an element of an addend column multiplied by a constant; and, computes a sum of the K number of products added to the (K+1) product. The sum is equivalent to a sum of products of a column of the M×K matrix multiplied by a row of the K×N matrix added to the an element of an addend column of the integrated matrix. A computing system and a computer program product can implement the method.

Abstract: A method comprises executing (K+P) number of transposition cycles to generate a transpose-extended matrix having N rows and (K+P) columns, in which columns 1 to K comprise a transposition of a first matrix having K rows and N columns, and columns (K+1) to (K+P) comprise constants or elements of an N×1 matrix. The method includes computing a sum-product of a row of a second matrix, having M rows and N columns, multiplied by a column among columns 1 to K of the transpose-extended matrix; and, computing a second sum-product of the row of the second matrix multiplied by a column among columns (K+1) to (K+P) of the transpose-extended matrix. The sum-products can comprise gradients of input matrices. A transpose processing unit can execute the transposition cycles to read K rows of the first matrix and insert P number of constant or N×1 columns to generate the transpose-extended matrix.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.