Abstract: A device protects data dependency for memory access. The device includes a memory and a processor. The processor executes memory access instructions including load instructions and store instructions. The processor includes load circuitry to execute the load instructions; and store circuitry to execute the store instructions. Each memory access instruction includes a token index field containing a token index that associates the memory access instruction with a memory location. The processor further includes dispatch circuitry to dispatch instructions to the load circuitry and the store circuitry; and a token registry to record used token indices according to token index fields in the memory access instructions dispatched by the dispatch circuitry.

Abstract: A device protects data dependency for memory access. The device includes a memory and a processor. The processor executes memory access instructions including load instructions and store instructions. The processor includes load circuitry to execute the load instructions; and store circuitry to execute the store instructions. Each memory access instruction includes a token index field containing a token index that associates the memory access instruction with a memory location. The processor further includes dispatch circuitry to dispatch instructions to the load circuitry and the store circuitry; and a token registry to record used token indices according to token index fields in the memory access instructions dispatched by the dispatch circuitry.

Abstract: A 3D graphics pipeline includes a prefetch mechanism that feeds a cache of depth tiles. The prefetch mechanism may be predictive, using triangle geometry information from previous pipeline stages to pre-charge the cache, thereby allowing for an increase in memory bandwidth efficiency. A z-value compression technique may be optionally utilized to allow for a further reduction in power consumption and memory bandwidth.

Abstract: A method, system and program are provided for development of an adaptive computing integrated circuit and corresponding configuration information, in which the configuration information provides an operating mode to the adaptive computing integrated circuit. The exemplary system includes a scheduler, a memory, and a compiler. The scheduler is capable of scheduling a selected algorithm with a plurality of adaptive computing descriptive objects to produce a scheduled algorithm and a selected adaptive computing circuit version. The memory is utilized to store the plurality of adaptive computing descriptive objects and a plurality of adaptive computing circuit versions generated during the scheduling process. The selected adaptive computing circuit version is converted into a hardware description language, for fabrication into the adaptive computing integrated circuit.

Abstract: A method, system and program are provided for development of an adaptive computing integrated circuit and corresponding configuration information, in which the configuration information provides an operating mode to the adaptive computing integrated circuit. The exemplary system includes a scheduler, a memory, and a compiler. The scheduler is capable of scheduling a selected algorithm with a plurality of adaptive computing descriptive objects to produce a scheduled algorithm and a selected adaptive computing circuit version. The memory is utilized to store the plurality of adaptive computing descriptive objects and a plurality of adaptive computing circuit versions generated during the scheduling process. The selected adaptive computing circuit version is converted into a hardware description language, for fabrication into the adaptive computing integrated circuit.

Abstract: The present invention provides an adaptive computing engine (ACE) that includes processing nodes having different capabilities such as arithmetic nodes, bit-manipulation nodes, finite state machine nodes, input/output nodes and a programmable scalar node (PSN). In accordance with one embodiment of the present invention, a common architecture is adaptable to function in either a kernel node, or k-node, or as general purpose RISC node. The k-node acts as a system controller responsible for adapting other nodes to perform selected functions. As a RISC node, the PSN is configured to perform computationally intensive applications such as signal processing.

Abstract: A method, system and program are provided for development of an adaptive computing integrated circuit and corresponding configuration information, in which the configuration information provides an operating mode to the adaptive computing integrated circuit. The exemplary system includes a scheduler, a memory, and a compiler. The scheduler is capable of scheduling a selected algorithm with a plurality of adaptive computing descriptive objects to produce a scheduled algorithm and a selected adaptive computing circuit version. The memory is utilized to store the plurality of adaptive computing descriptive objects and a plurality of adaptive computing circuit versions generated during the scheduling process. The selected adaptive computing circuit version is converted into a hardware description language, for fabrication into the adaptive computing integrated circuit.

Abstract: The present invention provides an adaptive computing engine (ACE) that includes processing nodes having different capabilities such as arithmetic nodes, bit-manipulation nodes, finite state machine nodes, input/output nodes and a programmable scalar node (PSN). In accordance with one embodiment of the present invention, a common architecture is adaptable to function in either a kernel node, or k-node, or as general purpose RISC node. The k-node acts as a system controller responsible for adapting other nodes to perform selected functions. As a RISC node, the PSN is configured to perform computationally intensive applications such as signal processing.

Abstract: A method, system and program are provided for development of an adaptive computing integrated circuit and corresponding configuration information, in which the configuration information provides an operating mode to the adaptive computing integrated circuit. The exemplary system includes a scheduler, a memory, and a compiler. The scheduler is capable of scheduling a selected algorithm with a plurality of adaptive computing descriptive objects to produce a scheduled algorithm and a selected adaptive computing circuit version. The memory is utilized to store the plurality of adaptive computing descriptive objects and a plurality of adaptive computing circuit versions generated during the scheduling process. The selected adaptive computing circuit version is converted into a hardware description language, for fabrication into the adaptive computing integrated circuit.