公开(公告)号：US10997772B1

公开(公告)日：2021-05-04

申请号：US16724764

申请日：2019-12-23

Applicant: Intel Corporation

Inventor： Michael Apodaca ,  John Feit ,  David Cimini ,  Thomas Raoux ,  Konstantin Levit-Gurevich

IPC: G06T15/00

Abstract: An apparatus to facilitate an update of shader data constants. The apparatus includes one or more processors to detect a change to one or more data constants in a shader program, generate a micro-code block including updated constants data during execution of the shader program and transmit the micro-code block to the shader program.

公开(公告)号：US20200279348A1

公开(公告)日：2020-09-03

申请号：US16783878

申请日：2020-02-06

Applicant: Intel Corporation

Inventor： Konstantin Levit-Gurevich ,  Michael Berezalsky ,  Noam Itzhaki ,  Arik Narkis ,  Orr Goldman

IPC: G06T1/20 ,  G06F9/455 ,  G06T1/60 ,  G06F9/38 ,  G06F9/50

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.

公开(公告)号：US20190213706A1

公开(公告)日：2019-07-11

申请号：US16235257

申请日：2018-12-28

Applicant: INTEL CORPORATION

Inventor： Orr Goldman ,  Konstantin Levit-Gurevich ,  Michael Berezalsky ,  Noam Itzhaki ,  Arik Narkis

IPC: G06T1/20 ,  G06F9/455 ,  G06F9/38 ,  G06F9/50

CPC classification number: G06T1/20 ,  G06F9/3877 ,  G06F9/45525 ,  G06F9/5055

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.

公开(公告)号：US20190043158A1

公开(公告)日：2019-02-07

申请号：US16129525

申请日：2018-09-12

Applicant: Intel Corporation

Inventor： Konstantin Levit-Gurevich ,  Michael Berezalsky ,  Noam Itzhaki ,  Arik Narkis ,  Orr Goldman

IPC: G06T1/20 ,  G06T1/60 ,  G06F9/50

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.

公开(公告)号：US20190034316A1

公开(公告)日：2019-01-31

申请号：US15806917

申请日：2017-11-08

Applicant: Intel Corporation

Inventor： Konstantin Levit-Gurevich ,  Aleksey Alekseev ,  Michael Berezalsky ,  Sion Berkowits ,  Julia Fedorova ,  Anton V. Gorshkov ,  Sunpyo Hong ,  Noam Itzhaki ,  Arik Narkis

IPC: G06F11/36 ,  G06F9/45

Abstract: Disclosed examples to perform instruction-level graphics processing unit (GPU) profiling based on binary instrumentation include: accessing, via a GPU driver executed by a processor, binary code generated by a GPU compiler based on application programming interface (API)-based code provided by an application; accessing, via the GPU driver executed by the processor, instrumented binary code, the instrumented binary code generated by a binary instrumentation module that inserts profiling instructions in the binary code based on an instrumentation schema provided by a profiling application; and providing, via the GPU driver executed by the processor, the instrumented binary code from the GPU driver to a GPU, the instrumented binary code structured to cause the GPU to collect and store profiling data in a memory based on the profiling instructions while executing the instrumented binary code.