Methods and apparatuses relating to pipelined runtime services in spatial arrays are described. In one embodiment, a processor includes processing elements; an interconnect network between the processing elements; a first configuration controller coupled to a first subset of the processing elements; and a second configuration controller coupled to a second, different subset of the processing elements, the first configuration controller and the second configuration controller are to configure the first subset and the second, different subset according to configuration information for a first context, and, for a context switch, the first configuration controller is to configure the first subset according to configuration information for a second context after pending operations of the first context are completed in the first subset and block second context dataflow into the second, different subset's input from the first subset's output until pending operations of the first context are completed in the second, different subset.

A processor controls a reconfigurable circuit capable of dynamically reconfiguring a circuit which achieves a task of a computer, the processor executes a process having determining, when reconfiguring each of circuits which achieve a plurality of tasks in the reconfigurable circuit, assigned times of time sharing of the plurality of tasks or priority processing ranks of the plurality of tasks based on costs needed in the reconfigurable circuit for respective circuits which achieve the plurality of tasks.

A macro scheduler includes a resource tracking module configured to update a database enumerating a plurality of macro components of a set of field programmable gate array (FPGA) devices, a communication interface configured to receive from a first client device a first design definition indicating one or more specified macro components for a design, resource allocation logic configured to allocate a first set of macro components for the design by allocating one of the plurality of macro components for each of the one or more specified macro components indicated in the first design definition, and configuration logic configured to implement the design in the set of FPGA devices by configuring the first set of allocated macro components according to the first design definition.

Processors, systems and methods are provided for thread level parallel processing. A processor may comprise a plurality of processing elements (PEs) that each may comprise a configuration buffer, a sequencer coupled to the configuration buffer of each of the plurality of PEs and configured to distribute one or more PE configurations to the plurality of PEs, and a gasket memory coupled to the plurality of PEs and being configured to store at least one PE execution result to be used by at least one of the plurality of PEs during a next PE configuration.

Embodiments herein describe a distributed configuration system for a configurable device. Instead of relying solely on a central configuration manager to distribute configuration information to various subsystems in the device, the embodiments herein include configuration interface managers (CIM) that are distributed in different regions of the device, whether those regions are in one integrated circuit or include multiple integrated circuits. The embodiments can still use a central configuration manager to distribute configuration information in a device image to the plurality of CIMs, which can then forward the configuration information to their assigned regions.

A data processing apparatus is provided. The data processing apparatus includes hardware locating circuitry for locating hardware associated with processing circuitry, and for causing hardware configuration data relating to the hardware to be generated. Providing circuitry causes the hardware configuration data to be provided to an operating system executing on the processing circuitry to enable the operating system to utilise the hardware.

Processors, systems and methods are provided for thread level parallel processing. A processor may comprise a plurality of processing elements (PEs) that each may comprise an arithmetic logic unit (ALU), a data buffer associated with the ALU, and an indicator associated with the data buffer to indicate whether a piece of data inside the data buffer is to be reused for repeated execution of a same instruction as a pipeline stage.

Processors, systems and methods are provided for thread level parallel processing. A processor may comprise a plurality of processing elements (PEs) that each may comprise a configuration buffer, a sequencer coupled to the configuration buffer of each of the plurality of PEs and configured to distribute one or more PE configurations to the plurality of PEs, and a gasket memory coupled to the plurality of PEs and being configured to store at least one PE execution result to be used by at least one of the plurality of PEs during a next PE configuration.

Processors, systems and methods are provided for thread level parallel processing. A processor may comprise a plurality of reconfigurable units that may include a plurality of processing elements (PEs) and a plurality of memory ports (MPs) for the plurality of PEs to access a memory unit. Each of the plurality of reconfigurable units may comprise a configuration buffer and a reconfiguration counter. The processor may further comprise a sequencer coupled to the configuration buffer of each of the plurality of reconfigurable units and configured to distribute a plurality of configurations to the plurality of reconfigurable units for the plurality of PEs and the plurality of MPs to execute a sequence of instructions.

Processors, systems and methods are provided for thread level parallel processing. A processor may comprise a plurality of processing elements (PEs) and a plurality of memory ports (MPs) for the plurality of PEs to access a memory unit. Each PE may have a plurality of arithmetic logic units (ALUs) that are configured to execute a same instruction in parallel threads. Each of the plurality of MPs may comprise an address calculation unit configured to generate respective memory addresses for each thread to access a different memory bank in the memory unit.