Abstract: Systems and methods for optimizing hardware resource utilization when processing variable-precision data are provided. Application data objects are processed using either a central processing unit (CPU) or the relatively lower precision data processing requirements of a dedicated math processing unit, e.g., a graphics processing unit (GPU), based on a level of precision determined for each application data object. The level of precision is used to calculate at least one bounding value for each application data object. The bounding value is compared to a selected precision threshold in order to determine whether the application data object can be processed by the GPU at a relatively lower level of precision without an undesirable loss of computational precision.

Abstract: Systems and methods for optimizing hardware resource utilization when processing variable-precision data are provided. Application data objects are processed using either a central processing unit (CPU) or the relatively lower precision data processing requirements of a dedicated math processing unit, e.g., a graphics processing unit (GPU), based on a level of precision determined for each application data object. The level of precision is used to calculate at least one bounding value for each application data object. The bounding value is compared to a selected precision threshold in order to determine whether the application data to object can be processed by the GPU at a relatively lower level of precision without an undesirable loss of computational precision.

Abstract: Irregular volumes within one or more three-dimensional volume datasets are identified and extracted in response to criteria. The processing involves automatically finding a seed voxel or seed cell that meets the criteria and thus belongs to an irregular volume of interest, and then identifying cells related to the seed cell by one or more predetermined relationships that are therefore also to be grouped into that irregular volume. Information, which can be of any suitable type, identifying each such cell as being related to other cells and belonging to an irregular volume is stored in a suitable data structure. The location or similar neighborhood information and other data describing properties or attributes of the identified cell are also stored. Because the irregular volumes are extracted and pre-processed in this manner, operations including rendering them on a display and performing Boolean and arithmetic operations on them can readily be performed.

Abstract: Irregular volumes within one or more three-dimensional volume datasets are identified and extracted in response to criteria. The processing involves automatically finding a seed voxel or seed cell that meets the criteria and thus belongs to an irregular volume of interest, and then identifying cells related to the seed cell by one or more predetermined relationships that are therefore also to be grouped into that irregular volume. Information, which can be of any suitable type, identifying each such cell as being related to other cells and belonging to an irregular volume is stored in a suitable data structure. The location or similar neighborhood information and other data describing properties or attributes of the identified cell are also stored. Because the irregular volumes are extracted and pre-processed in this manner, operations including rendering them on a display and performing Boolean and arithmetic operations on them can readily be performed.

Abstract: Irregular volumes within one or more three-dimensional volume datasets are identified and extracted in response to criteria. The processing involves automatically finding a seed voxel or seed cell that0 meets the criteria and thus belongs to an irregular volume of interest, and then identifying cells related to the seed cell by one or more predetermined relationships that are therefore also to be grouped into that irregular volume. Information, which can be of any suitable type, identifying each such cell as being related to other cells and belonging to an irregular volume is stored in a suitable data structure. The location or similar neighborhood information and other data describing properties or attributes of the identified cell are also stored. Because the irregular volumes are extracted and pre-processed in this manner, operations including rendering them on a display and performing Boolean and arithmetic operations on them can readily be performed.

Abstract: Irregular volumes within one or more three-dimensional volume datasets are identified and extracted in response to criteria. The processing involves automatically finding a seed voxel or seed cell that meets the criteria and thus belongs to an irregular volume of interest, and then identifying cells related to the seed cell by one or more predetermined relationships that are therefore also to be grouped into that irregular volume. Information, which can be of any suitable type, identifying each such cell as being related to other cells and belonging to an irregular volume is stored in a suitable data structure. The location or similar neighborhood information and other data describing properties or attributes of the identified cell are also stored. Because the irregular volumes are extracted and pre-processed in this manner, operations including rendering them on a display and performing Boolean and arithmetic operations on them can readily be performed.

Abstract: Systems and methods for network transmission of three-dimensional graphical data are disclosed. A single graphical application instance can virtually and efficiently exist on multiple local or remote display systems by directly sharing its raw rendered framebuffer memory information among all local or remote graphics accelerators, thus avoiding the need to re-render any application information again on each node. An internal graphics card is used to scale the rendered data prior to transmission. This graphics scaling eliminates the need for data compression or image compression and achieves an adaptive, hardware-accelerated reduction in network bandwidth. Furthermore, since all memory and remote processing support tasks are performed within the graphics card, the CPU, system bus, and memory bandwidth remain available to the system and other applications.

Abstract: Systems and methods for network transmission of three-dimensional graphical data are disclosed. A single graphical application instance can virtually and efficiently exist on multiple local or remote display systems by directly sharing its raw rendered framebuffer memory information among all local or remote graphics accelerators, thus avoiding the need to re-render any application information again on each node. An internal graphics card is used to scale the rendered data prior to transmission. This graphics scaling eliminates the need for data compression or image compression and achieves an adaptive, hardware-accelerated reduction in network bandwidth. Furthermore, since all memory and remote processing support tasks are performed within the graphics card, the CPU, system bus, and memory bandwidth remain available to the system and other applications.

Abstract: Irregular volumes within one or more three-dimensional volume datasets are identified and extracted in response to criteria. The processing involves automatically finding a seed voxel or seed cell that meets the criteria and thus belongs to an irregular volume of interest, and then identifying cells related to the seed cell by one or more predetermined relationships that are therefore also to be grouped into that irregular volume. Information, which can be of any suitable type, identifying each such cell as being related to other cells and belonging to an irregular volume is stored in a suitable data structure. The location or similar neighborhood information and other data describing properties or attributes of the identified cell are also stored. Because the irregular volumes are extracted and pre-processed in this manner, operations including rendering them on a display and performing Boolean and arithmetic operations on them can readily be performed.