Abstract:
A processor comprises a plurality of processor units arranged to operate concurrently and in cooperation with one another, and control logic configured to direct the operation of the processor units. At least a given one of the processor units comprises a memory, an arithmetic engine and a switch fabric. The switch fabric provides controllable connectivity between the memory, the arithmetic engine and input and output ports of the given processor unit, and has control inputs driven by corresponding outputs of the control logic. In an illustrative embodiment, the processor units may be configured to perform computations associated with a key equation solver in a Reed-Solomon (RS) decoder or other type of forward error correction (FEC) decoder.
Abstract:
A NoC timing power estimating method includes: estimating a plurality of transmission timing of a plurality of transmission units of at least a packet, the transmission timing indicating respective time points at which the transmission units enter/leave a plurality of passing elements of the NoC; based on the transmission timing of the transmission units, estimating respective circuit states and respective power states of the passing elements of the NoC, the circuit state indicating an operation state of the passing element and the power state being related to the circuit state; and based on the power states of the passing elements of the NoC, estimating power consumption of the NoC.
Abstract:
An interconnection system comprising a plurality of nodes, each comprising at least two ports, and a plurality of links configured to interconnect ports among the nodes to form a hierarchical multi-level ring topology, wherein the ring topology comprises a plurality of levels of rings including a base ring and at least two hierarchical shortcut rings, and wherein each node connected to a higher-level shortcut ring is also connected to all lower-level rings including the base ring.
Abstract:
A system and method for provisioning of modular compute resources within a system design are provided. In one embodiment, a node card or a system board may be used.
Abstract:
In one embodiment, the present invention includes a multicore processor with first and second groups of cores. The second group can be of a different instruction set architecture (ISA) than the first group or of the same ISA set but having different power and performance support level, and is transparent to an operating system (OS). The processor further includes a migration unit that handles migration requests for a number of different scenarios and causes a context switch to dynamically migrate a process from the second core to a first core of the first group. This dynamic hardware-based context switch can be transparent to the OS. Other embodiments are described and claimed.
Abstract:
In one embodiment, a processor includes: a first core to execute instructions; and a programmable fabric having a hierarchical arrangement including a first layer of programmable fabric and a second layer of programmable fabric. The programmable fabric may include a fabric interface controller to: receive a first programmable fabric control instruction from the first core; and responsive thereto, cause a first programmable fabric unit of the first layer of programmable fabric to execute an operation on first input data. Other embodiments are described and claimed.
Abstract:
Reconfiguring execution pipelines of out-of-order (OOO) computer processors based on phase training and prediction is disclosed. In one aspect, a pipeline reconfiguration circuit is communicatively coupled to an execution pipeline providing multiple selectable pipeline configurations. The pipeline reconfiguration circuit generates a phase identifier (ID) for a phase based on a preceding phase. The phase ID is used as an index into an entry of a pipeline configuration prediction (PCP) table to determine whether training for the phase is ongoing. If so, the pipeline reconfiguration circuit performs multiple training cycles, each employing a pipeline configuration from the selectable pipeline configurations for the execution pipeline, to determine a preferred pipeline configuration for the phase. If training for the phase is complete, the pipeline reconfiguration circuit reconfigures the execution pipeline into the preferred pipeline configuration indicated by the entry before the phase is executed.
Abstract:
An apparatus, system, and method for controlling traffic on an on-chip network. Embodiments of the method comprise injecting a packet at a first rate into the on-chip network by a first node coupled to the on-chip network, receiving the packet at a second node coupled to the on-chip network, modifying a bit in the packet by the second node in response to determining that a rate at which packets are injected into the on-chip network should change, returning the packet with the bit modified to the first node by the second node, and changing the first rate by the first node in response to detecting that the bit in the packet was modified.
Abstract:
An interconnection system comprising a plurality of nodes, each comprising at least two ports, and a plurality of links configured to interconnect ports among the nodes to form a hierarchical multi-level ring topology, wherein the ring topology comprises a plurality of levels of rings including a base ring and at least two hierarchical shortcut rings, and wherein each node connected to a higher-level shortcut ring is also connected to all lower-level rings including the base ring.
Abstract:
An adaptive computing engine (ACE) IC includes a plurality of heterogeneous computational elements coupled to an interconnection network. The plurality of heterogeneous computational elements include corresponding computational elements having fixed and differing architectures, such as fixed architectures for different functions such as memory, addition, multiplication, complex multiplication, subtraction, configuration, reconfiguration, control, input, output, and field programmability. In response to configuration information, the interconnection network is operative to configure and reconfigure the plurality of heterogeneous computational elements for a plurality of different functional modes, including linear algorithmic operations, non-linear algorithmic operations, finite state machine operations, controller operations, memory operations, and bit-level manipulations. The preferred system embodiment includes an ACE integrated circuit coupled with the configuration information needed to provide an operating mode. Preferred methodologies include various means to generate and provide configuration information for various operating modes.