Abstract: A method and system for dynamically transferring graphical image processing operations from a graphical processing unit (GPU) to a digital signal processor (DSP). The method includes estimating the number of operations needed for the processing a set of image data; determining the operational limits of a GPU and compare with estimated number of operations and if the operational limits are exceeded; transfer the processing operations to the DSP from the GPU. The transfer can include transferring a portion of executable code for performing the processing operations, and generating a replacement code for the GPU. The DSP can then process a portion of the image data before sending it to the GPU for further processing.

Abstract: Methods, apparatus, systems and articles of manufacture to perform graphics processing on combinations of graphic processing units and digital signal processors are disclosed. A disclosed example method includes processing first data representing input vertices to create second data, the first data using a first format organized by vertex, the second data using a second format organized by components of the vertices. A digital signal processor (DSP) is to perform vertex shading on the second data to create third data, the third data formatted using the second format, the vertex shading performed by executing a first instruction at the DSP, the first instruction generated based on a second instruction capable of being executed at a graphics processing unit (GPU). The third data is processed to create fourth data, the fourth data formatted using the first format.

Abstract: A method and system for dynamically transferring graphical image processing operations from a graphical processing unit (GPU) to a digital signal processor (DSP). The method includes estimating the number of operations needed for the processing a set of image data; determining the operational limits of a GPU and compare with estimated number of operations and if the operational limits are exceeded; transfer the processing operations to the DSP from the GPU. The transfer can include transferring a portion of executable code for performing the processing operations, and generating a replacement code for the GPU. The DSP can then process a portion of the image data before sending it to the GPU for further processing.

Abstract: Methods, apparatus, systems and articles of manufacture to perform graphics processing on combinations of graphic processing units and digital signal processors are disclosed. A disclosed example method includes processing first data representing input vertices to create second data, the first data using a first format organized by vertex, the second data using a second format organized by components of the vertices. A digital signal processor (DSP) is to perform vertex shading on the second data to create third data, the third data formatted using the second format, the vertex shading performed by executing a first instruction at the DSP, the first instruction generated based on a second instruction capable of being executed at a graphics processing unit (GPU). The third data is processed to create fourth data, the fourth data formatted using the first format.

Abstract: A method and system for dynamically transferring graphical image processing operations from a graphical processing unit (GPU) to a digital signal processor (DSP). The method includes estimating the number of operations needed for the processing a set of image data; determining the operational limits of a GPU and compare with estimated number of operations and if the operational limits are exceeded; transfer the processing operations to the DSP from the GPU. The transfer can include transferring a portion of executable code for performing the processing operations, and generating a replacement code for the GPU. The DSP can then process a portion of the image data before sending it to the GPU for further processing.

Abstract: Methods, apparatus, systems and articles of manufacture to perform graphics processing on combinations of graphic processing units and digital signal processors are disclosed. A disclosed example method includes processing first data representing input vertices to create second data, the first data using a first format organized by vertex, the second data using a second format organized by components of the vertices. A digital signal processor (DSP) is to perform vertex shading on the second data to create third data, the third data formatted using the second format, the vertex shading performed by executing a first instruction at the DSP, the first instruction generated based on a second instruction capable of being executed at a graphics processing unit (GPU). The third data is processed to create fourth data, the fourth data formatted using the first format.

Abstract: Methods, apparatus, systems and articles of manufacture to perform graphics processing on combinations of graphic processing units and digital signal processors are disclosed. A disclosed example method includes processing first data representing input vertices to create second data, the first data using a first format organized by vertex, the second data using a second format organized by components of the vertices. A digital signal processor (DSP) is to perform vertex shading on the second data to create third data, the third data formatted using the second format, the vertex shading performed by executing a first instruction at the DSP, the first instruction generated based on a second instruction capable of being executed at a graphics processing unit (GPU). The third data is processed to create fourth data, the fourth data formatted using the first format.

Abstract: Traditionally, providing parallel processing within a multi-core system has been very difficult. Here, however, a system is provided where serial source code is automatically converted into parallel source code, and a processing cluster is reconfigured “on the fly” to accommodate the parallelized code based on an allocation of memory and compute resources. Thus, the processing cluster and its corresponding system programming tool provide a system that can perform parallel processing from a serial program that is transparent to a user. Generally, a control node connected to the address and data leads of a host processor uses messages to control the processing of data in a processing cluster. The cluster includes nodes of parallel processors, shared function memory, a global load/store, and hardware accelerators all connected to the control node by message busses. A crossbar data interconnect routes data to the cluster circuits separate from the message busses.

Abstract: A computer system includes a processor and program storage coupled to the processor. The program storage stores a software instruction translator that, when executed by the processor, is configured to receive source code and translate the source code to a low-level language. The source code is restricted to a subset of a high-level language and the low-level language is a specialized instruction set. Each statement of the subset of the high-level language directly maps to an instruction of the low-level language.

Abstract: Traditionally, providing parallel processing within a multi-core system has been very difficult. Here, however, a system in provided where serial source code is automatically converted into parallel source code, and a processing cluster is reconfigured “on the fly” to accommodate the parallelized code based on an allocation of memory and compute resources. Thus, the processing cluster and its corresponding system programming tool provide a system that can perform parallel processing from a serial program that is transparent to a user.