International Business Machines Corporation

Brian H Horton

Joaquin Madruga

Barry L Minor

Gregory Howard Bellows

Greg H Bellows

Jason Nathaniel Dale

Christian Lita

Christopher Frank Kime

Paul A Clarke

A technique for managing hardware resources and threads within a data processing system is disclosed. Compilation attributes of a function are collected during and after the compilation of the function. The pre-processing attributes of the function are also collected before the execution of the function. The collected attributes of the function are then analyzed, and a runtime configuration is assigned to the function based of the result of the attribute analysis. The runtime configuration may include, for example, the designation of the function to be executed under either a single-threaded mode or a simultaneous multi-threaded mode. During the execution of the function, real-time attributes of the function are being continuously collected. If necessary, the runtime configuration under which the function is being executed can be changed based on the real-time attributes collected during the execution of the function.

Method for managing hardware resources within a simultaneous multi-threaded processing system

A method for managing hardware resources and threads within a data processing system is disclosed. Compilation attributes of a function are collected during and after the compilation of the function. The pre-processing attributes of the function are also collected before the execution of the function. The collected attributes of the function are then analyzed, and a runtime configuration is assigned to the function based of the result of the attribute analysis. The runtime configuration may include, for example, the designation of the function to be executed under either a single-threaded mode or a simultaneous multi-threaded mode. During the execution of the function, real-time attributes of the function are being continuously collected. If necessary, the runtime configuration under which the function is being executed can be changed based on the real-time attributes collected during the execution of the function.

A method provides efficient dispatch/completion of an N Dimensional (ND) Range command in a data processing system (DPS). The method comprises: a compiler generating one or more commands from received program instructions; ND Range work processing (WP) logic determining when a command generated by the compiler will be implemented over an ND configuration of operands, where N is greater than one (1); automatically decomposing the ND configuration of operands into a one (1) dimension (1D) work element comprising P sequentially ordered work items that each represent one of the operands; placing the 1D work element within a command queue of the DPS; enabling sequential dispatching of 1D work items in ordered sequence from to one or more processing units; and generating an ND Range output by mapping the 1D work output result to an ND position corresponding to an original location of the operand represented by the 1D work item.

Method to dynamically distribute a multi-dimensional work set across a multi-core system

A system provides efficient dispatch/completion of an N Dimensional (ND) Range command in a data processing system (DPS). The system comprises: a compiler generating one or more commands from received program instructions; ND Range work processing (WP) logic determining when a command generated by the compiler will be implemented over an ND configuration of operands, where N is greater than one (1); automatically decomposing the ND configuration of operands into a one (1) dimension (1D) work element comprising P sequentially ordered work items that each represent one of the operands; placing the 1D work element within a command queue of the DPS; enabling sequential dispatching of 1D work items in ordered sequence from to one or more processing units; and generating an ND Range output by mapping the 1D work output result to an ND position corresponding to an original location of the operand represented by the 1D work item.

Dynamically distribute a multi-dimensional work set across a multi-core system

A mechanism is provided in a multi-core environment for assigning a globally unique core identifier. A Power PC&#xae; processor unit (PPU) determines an index alias corresponding to a natural index to a location in local storage (LS) memory. A synergistic processor unit (SPU) corresponding to the PPU translates the natural index to a first address in a core's memory, as well as translates the index alias to a second address in the core's memory. Responsive to the second address exceeding a physical memory size, the load store unit of the SPU truncates the second address to a usable range of address space in systems that do not map an address space. The second address and the first address point to the same physical location in the core's memory. In addition, the aliasing using index aliases also preserves the ability to combine persistent indices with relative indices without creating holes in a relative index map.

Assigning efficiently referenced globally unique identifiers in a multi-core environment

A method for preventing time of check to time of use exploits includes receiving a system call from a user space at a system call intercept and copying user space parameters from the user space to a kernel space responsive to the system call. The method also includes copying the user space parameters from the kernel space to a secure location in the user space, receiving the user space parameters from the secure location at the system call intercept, and executing the system call based on the received user space parameters. A computer readable medium including computer readable code and a system for executing the method steps are also disclosed.

Method for preventing time of check to time of use exploits

A method and apparatus for processing hierarchical graphics data from an application. The data processing system includes a plurality of threads in which a first thread receives graphics data from the application. The data stream is partitioned into workgroups and a sequence number is associated with each workgroup identifying the order in which the workgroup should be processed. Each thread processes a unique portion of the workgroups. Processed workgroups are stored in a memory associated with the thread processing that workgroup. The primary thread dispatches the processed workgroups from each of the memories associated with the threads to a rasterizer for the graphics display device. The workgroups are dispatched in an order indicated by the sequence number associated with each processed workgroup.

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Pflugerville, TX, United States of America

Brian H Horton