Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes instructions, and at least one processor to execute the instructions to determine whether a GPU supports modification of entry point addresses, detect a first entry point address and a second entry point address of an original GPU kernel, create a corresponding instrumented GPU kernel from the original GPU kernel based on the determination by inserting at least one of first profiling initialization instructions or first jump instructions at the first entry point address of the instrumented GPU kernel, inserting at least one of second profiling initialization instructions or second jump instructions at the second entry point address of the instrumented GPU kernel, and inserting profiling measurement instructions into the instrumented GPU kernel.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes instructions, and at least one processor to execute the instructions to determine whether a GPU supports modification of entry point addresses, detect a first entry point address and a second entry point address of an original GPU kernel, create a corresponding instrumented GPU kernel from the original GPU kernel based on the determination by inserting at least one of first profiling initialization instructions or first jump instructions at the first entry point address of the instrumented GPU kernel, inserting at least one of second profiling initialization instructions or second jump instructions at the second entry point address of the instrumented GPU kernel, and inserting profiling measurement instructions into the instrumented GPU kernel.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example method executing an instrumented kernel using a logic circuit, the instrumented kernel including an emulation sequence; saving, in response to determination that the emulation sequence is to be executed, source data to a shared memory; setting an emulation request flag to indicate to processor circuitry separate from the logic circuit that offloaded execution of the emulation sequence is to be executed; monitoring the emulation request flag to determine whether the offloaded execution of the emulation sequence is complete; and accessing resulting data from the shared memory.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example method executing an instrumented kernel using a logic circuit, the instrumented kernel including an emulation sequence; saving, in response to determination that the emulation sequence is to be executed, source data to a shared memory; setting an emulation request flag to indicate to processor circuitry separate from the logic circuit that offloaded execution of the emulation sequence is to be executed; monitoring the emulation request flag to determine whether the offloaded execution of the emulation sequence is complete; and accessing resulting data from the shared memory.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes instructions, and at least one processor to execute the instructions to determine whether a GPU supports modification of entry point addresses, detect a first entry point address and a second entry point address of an original GPU kernel, create a corresponding instrumented GPU kernel from the original GPU kernel based on the determination by inserting at least one of first profiling initialization instructions or first jump instructions at the first entry point address of the instrumented GPU kernel, inserting at least one of second profiling initialization instructions or second jump instructions at the second entry point address of the instrumented GPU kernel, and inserting profiling measurement instructions into the instrumented GPU kernel.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example apparatus includes a kernel accessor to access an instruction of an original GPU kernel, the original GPU kernel intended to be executed at a first GPU. An instruction support determiner is to determine whether execution of the instruction is supported by a second GPU different from the first GPU. An instruction modifier is to, in response to determining that the execution of the instruction is not supported by the second GPU, create an instrumented GPU kernel based on the original GPU kernel. The instrumented GPU kernel includes an emulation sequence. The emulation sequence is to, when executed by the second GPU, cause the second GPU to emulate execution of the instruction by the first GPU.

Abstract: Techniques and apparatus for profiling graphics processing unit (GPU) processes using binary instrumentation are described. In one embodiment, for example, an apparatus may include at least one memory comprising instructions and a processor coupled to the at least one memory. The processor may execute the instructions to implement a profiling process to profile a graphics processing unit (GPU) application being executed via a GPU, the profiling process to perform an instrumentation phase to determine an operating process being executed via the GPU and to generate instrumented binary code for the operating process, perform an execution phase to collect profiling data for a command of the operating process, and perform a completion phase for a profiling application executed via the processor to read the profiling data. Other embodiments are described.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes an entry point detector to detect a first entry point address and a second entry point address of an original GPU kernel, the first entry point address including a first entry point instruction, the second entry point address including a second entry point instruction. An instruction inserter is to create a corresponding instrumented GPU kernel from the original GPU kernel by inserting first profiling initialization instructions at a first address of the instrumented GPU kernel, the instruction inserter to insert profiling measurement instructions into the instrumented GPU kernel. An entry point adjuster is to adjust a list of entry points of the instrumented GPU kernel to replace the first entry point address with the first address and the second entry point address with the second address.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve operation of a graphics processing unit (GPU). An example apparatus includes an instruction generator to insert profiling instructions into a GPU kernel to generate an instrumented GPU kernel, the instrumented GPU kernel is to be executed by a GPU, a trace analyzer to generate an occupancy map associated with the GPU executing the instrumented GPU kernel, a parameter calculator to determine one or more operating parameters of the GPU based on the occupancy map, and a processor optimizer to invoke a GPU driver to adjust a workload of the GPU based on the one or more operating parameters.

Abstract: Techniques and apparatus for profiling graphics processing unit (GPU) processes using binary instrumentation are described. In one embodiment, for example, an apparatus may include at least one memory comprising instructions and a processor coupled to the at least one memory. The processor may execute the instructions to determine a plurality of profiling modes for profiling an operating process of a graphics processing unit (GPU) application, access original binary code for the GPU application, and generate a multi-mode instrumented binary code comprising a plurality of instrumentation modes, each of the plurality of instrumentation modes corresponding to at least one of the plurality of profiling modes. Other embodiments are described.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve operation of a graphics processing unit (GPU). An example apparatus includes an instruction generator to insert profiling instructions into a GPU kernel to generate an instrumented GPU kernel, the instrumented GPU kernel is to be executed by a GPU, a trace analyzer to generate an occupancy map associated with the GPU executing the instrumented GPU kernel, a parameter calculator to determine one or more operating parameters of the GPU based on the occupancy map, and a processor optimizer to invoke a GPU driver to adjust a workload of the GPU based on the one or more operating parameters.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes an entry point detector to detect a first entry point address and a second entry point address of an original GPU kernel, the first entry point address including a first entry point instruction, the second entry point address including a second entry point instruction. An instruction inserter is to create a corresponding instrumented GPU kernel from the original GPU kernel by inserting first profiling initialization instructions at a first address of the instrumented GPU kernel, the instruction inserter to insert profiling measurement instructions into the instrumented GPU kernel. An entry point adjuster is to adjust a list of entry points of the instrumented GPU kernel to replace the first entry point address with the first address and the second entry point address with the second address.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example apparatus includes a kernel accessor to access an instruction of an original GPU kernel, the original GPU kernel intended to be executed at a first GPU. An instruction support determiner is to determine whether execution of the instruction is supported by a second GPU different from the first GPU. An instruction modifier is to, in response to determining that the execution of the instruction is not supported by the second GPU, create an instrumented GPU kernel based on the original GPU kernel. The instrumented GPU kernel includes an emulation sequence. The emulation sequence is to, when executed by the second GPU, cause the second GPU to emulate execution of the instruction by the first GPU.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes an entry point detector to detect a first entry point address and a second entry point address of an original GPU kernel. An instruction inserter is to create a corresponding instrumented GPU kernel from the original GPU kernel by adding instructions of the original GPU kernel and one or more profiling instructions to the instrumented GPU kernel. The instruction inserter is to insert, at the first entry point address of the instrumented GPU kernel, a first jump instruction to jump to first profiling initialization instructions, the instruction inserter to insert, at the second entry point address of the instrumented GPU kernel, a second jump instruction to jump to second profiling initialization instructions. The instruction inserter is to insert profiling measurement instructions of the profiling instructions into the instrumented GPU kernel.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example apparatus includes a kernel accessor to access an instruction of an original GPU kernel, the original GPU kernel intended to be executed at a first GPU. An instruction support determiner is to determine whether execution of the instruction is supported by a second GPU different from the first GPU. An instruction modifier is to, in response to determining that the execution of the instruction is not supported by the second GPU, create an instrumented GPU kernel based on the original GPU kernel. The instrumented GPU kernel includes an emulation sequence. The emulation sequence is to, when executed by the second GPU, cause the second GPU to emulate execution of the instruction by the first GPU.

Abstract: Techniques and apparatus for profiling graphics processing unit (GPU) processes using binary instrumentation are described. In one embodiment, for example, an apparatus may include at least one memory comprising instructions and a processor coupled to the at least one memory. The processor may execute the instructions to implement a profiling process to profile a graphics processing unit (GPU) application being executed via a GPU, the profiling process to perform an instrumentation phase to determine an operating process being executed via the GPU and to generate instrumented binary code for the operating process, perform an execution phase to collect profiling data for a command of the operating process, and perform a completion phase for a profiling application executed via the processor to read the profiling data. Other embodiments are described.

Abstract: Techniques and apparatus for profiling graphics processing unit (GPU) processes using binary instrumentation are described. In one embodiment, for example, an apparatus may include at least one memory comprising instructions and a processor coupled to the at least one memory. The processor may execute the instructions to determine a plurality of profiling modes for profiling an operating process of a graphics processing unit (GPU) application, access original binary code for the GPU application, and generate a multi-mode instrumented binary code comprising a plurality of instrumentation modes, each of the plurality of instrumentation modes corresponding to at least one of the plurality of profiling modes. Other embodiments are described.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve operation of a graphics processing unit (GPU). An example apparatus includes an instruction generator to insert profiling instructions into a GPU kernel to generate an instrumented GPU kernel, the instrumented GPU kernel is to be executed by a GPU, a trace analyzer to generate an occupancy map associated with the GPU executing the instrumented GPU kernel, a parameter calculator to determine one or more operating parameters of the GPU based on the occupancy map, and a processor optimizer to invoke a GPU driver to adjust a workload of the GPU based on the one or more operating parameters.

Abstract: Embodiments are disclosed for emulation of graphics processing unit instructions. An example apparatus includes a kernel accessor to access an instruction of an original GPU kernel, the original GPU kernel intended to be executed at a first GPU. An instruction support determiner is to determine whether execution of the instruction is supported by a second GPU different from the first GPU. An instruction modifier is to, in response to determining that the execution of the instruction is not supported by the second GPU, create an instrumented GPU kernel based on the original GPU kernel. The instrumented GPU kernel includes an emulation sequence. The emulation sequence is to, when executed by the second GPU, cause the second GPU to emulate execution of the instruction by the first GPU.

Abstract: Embodiments are disclosed for inserting profiling instructions into graphics processing unit (GPU) kernels. An example apparatus includes an entry point detector to detect a first entry point address and a second entry point address of an original GPU kernel. An instruction inserter is to create a corresponding instrumented GPU kernel from the original GPU kernel by adding instructions of the original GPU kernel and one or more profiling instructions to the instrumented GPU kernel. The instruction inserter is to insert, at the first entry point address of the instrumented GPU kernel, a first jump instruction to jump to first profiling initialization instructions, the instruction inserter to insert, at the second entry point address of the instrumented GPU kernel, a second jump instruction to jump to second profiling initialization instructions. The instruction inserter is to insert profiling measurement instructions of the profiling instructions into the instrumented GPU kernel.