Abstract: A software development environment (SDE) and a method of compiling integrated source code. One embodiment of the SDE includes: (1) a parser configured to partition an integrated source code into a host code partition and a device code partition, the host code partition including a reference to a device variable, (2) a translator configured to: (2a) embed device machine code, compiled based on the device code partition, into a modified host code, (2b) define a pointer in the modified host code configured to be initialized, upon execution of the integrated source code, to a memory address allocated to the device variable, and (2c) replace the reference with a dereference to the pointer, and (3) a host compiler configured to employ a host library to compile the modified host code.

Abstract: Circuits, methods, and apparatus that provide parallel execution relationships to be included in a function call or other appropriate portion of a command or instruction in a sequential programming language. One example provides a token-based method of expressing parallel execution relationships. Each process that can be executed in parallel is given a separate token. Later processes that depend on earlier processes wait to receive the appropriate token before being executed. In another example, counters are used in place to tokens to determine when a process is completed. Each function is a number of individual functions or threads, where each thread performs the same operation on a different piece of data. A counter is used to track the number of threads that have been executed. When each thread in the function has been executed, a later function that relies on data generated by the earlier function may be executed.

Abstract: A system and method are provided for launching a callable function. A processing system includes a host processor, a graphics processing unit, and a driver for launching a callable function. The driver is adapted to recognize at load time of a program that a first function within the program is a callable function. The driver is further adapted to generate a second function. The second function is adapted to receive arguments and translate the arguments from a calling convention for launching a function into a calling convention for calling a callable function. The second function is further adapted to call the first function using the translated arguments. The driver is also adapted to receive from the host processor or the GPU a procedure call representing a launch of the first function and, in response, launch the second function.

Abstract: A software development environment (SDE) and a method of compiling integrated source code. One embodiment of the SDE includes: (1) a parser configured to partition an integrated source code into a host code partition and a device code partition, the host code partition including a reference to a device variable, (2) a translator configured to: (2a) embed device machine code, compiled based on the device code partition, into a modified host code, (2b) define a pointer in the modified host code configured to be initialized, upon execution of the integrated source code, to a memory address allocated to the device variable, and (2c) replace the reference with a dereference to the pointer, and (3) a host compiler configured to employ a host library to compile the modified host code.

Abstract: A system and method are provided for launching a callable function. A processing system includes a host processor, a graphics processing unit, and a driver for launching a callable function. The driver is adapted to recognize at load time of a program that a first function within the program is a callable function. The driver is further adapted to generate a second function. The second function is adapted to receive arguments and translate the arguments from a calling convention for launching a function into a calling convention for calling a callable function. The second function is further adapted to call the first function using the translated arguments. The driver is also adapted to receive from the host processor or the GPU a procedure call representing a launch of the first function and, in response, launch the second function.

Abstract: Circuits, methods, and apparatus that provide parallel execution relationships to be included in a function call or other appropriate portion of a command or instruction in a sequential programming language. One example provides a token-based method of expressing parallel execution relationships. Each process that can be executed in parallel is given a separate token. Later processes that depend on earlier processes wait to receive the appropriate token before being executed. In another example, counters are used in place to tokens to determine when a process is completed. Each function is a number of individual functions or threads, where each thread performs the same operation on a different piece of data. A counter is used to track the number of threads that have been executed. When each thread in the function has been executed, a later function that relies on data generated by the earlier function may be executed.

Abstract: One embodiment of the present invention sets forth a technique for representing and managing a multi-architecture co-processor application program. Source code for co-processor functions is compiled in two stages. The first stage incorporates a majority of the computationally intensive processing steps associated with co-processor code compilation. The first stage generates virtual assembly code from the source code. The second stage generates co-processor machine code from the virtual assembly. Both the virtual assembly and co-processor machine code may be included within the co-processor enabled application program. A co-processor driver uses a description of the currently available co-processor to select between virtual assembly and co-processor machine code. If the virtual assembly code is selected, then the co-processor driver compiles the virtual assembly into machine code for the current co-processor.

Abstract: One embodiment of the present invention sets forth a technique for representing and managing a multi-architecture co-processor application program. Source code for co-processor functions is compiled in two stages. The first stage incorporates a majority of the computationally intensive processing steps associated with co-processor code compilation. The first stage generates virtual assembly code from the source code. The second stage generates co-processor machine code from the virtual assembly. Both the virtual assembly and co-processor machine code may be included within the co-processor enabled application program. A co-processor driver uses a description of the currently available co-processor to select between virtual assembly and co-processor machine code. If the virtual assembly code is selected, then the co-processor driver compiles the virtual assembly into machine code for the current co-processor.

Abstract: One embodiment of the present invention sets forth a technique for representing and managing a multi-architecture co-processor application program. Source code for co-processor functions is compiled in two stages. The first stage incorporates a majority of the computationally intensive processing steps associated with co-processor code compilation. The first stage generates virtual assembly code from the source code. The second stage generates co-processor machine code from the virtual assembly. Both the virtual assembly and co-processor machine code may be included within the co-processor enabled application program. A co-processor driver uses a description of the currently available co-processor to select between virtual assembly and co-processor machine code. If the virtual assembly code is selected, then the co-processor driver compiles the virtual assembly into machine code for the current co-processor.

Abstract: A general-purpose programming environment allows users to program a GPU as a general-purpose computation engine using familiar C/C++ programming constructs. Users may use declaration specifiers to identify which portions of a program are to be compiled for a CPU or a GPU. Specifically, functions, objects and variables may be specified for GPU binary compilation using declaration specifiers. A compiler separates the GPU binary code and the CPU binary code in a source file using the declaration specifiers. The location of objects and variables in different memory locations in the system may be identified using the declaration specifiers. CTA threading information is also provided for the GPU to support parallel processing.

Abstract: A general-purpose programming environment allows users to program a GPU as a general-purpose computation engine using familiar C/C++ programming constructs. Users may use declaration specifiers to identify which portions of a program are to be compiled for a CPU or a GPU. Specifically, functions, objects and variables may be specified for GPU binary compilation using declaration specifiers. A compiler separates the GPU binary code and the CPU binary code in a source file using the declaration specifiers. The location of objects and variables in different memory locations in the system may be identified using the declaration specifiers. CTA threading information is also provided for the GPU to support parallel processing.