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It supports hardware performance counters, tracepoints, software performance counters (e.g. hrtimer), and dynamic probes (for example, kprobes or uprobes). [4] In 2012, two IBM engineers recognized perf (along with OProfile) as one of the two most commonly used performance counter profiling tools on Linux. [5]
Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
RivaTuner Statistics Server (RTSS), which was initially a companion software to RivaTuner, has since evolved into a frame rate and hardware monitor that supports video capture and frame limiting. Unlike RivaTuner, RTSS continues to receive updates and, as of 2017, supports performance monitoring on the latest graphics cards and APIs.
Superposition Benchmark is a benchmarking software based on the UNIGINE Engine. The benchmark was developed and published by UNIGINE Company in 2017. The main purpose of software is performance and stability testing for GPUs. Users can choose a workload preset, Low to Extreme, or set the parameters by custom.
Geekbench began as a benchmark for Mac OS X and Windows, [3] and is now a cross-platform benchmark that supports macOS, Windows, Linux, Android and iOS. [4] In version 4, Geekbench started measuring GPU performance in areas such as image processing and computer vision. [5] In version 5, Geekbench dropped support for IA-32. [6]
Most free and open-source graphics device drivers are developed by the Mesa project. The driver is made up of a compiler, a rendering API, and software which manages access to the graphics hardware. Drivers without freely (and legally) -available source code are commonly known as binary drivers.
The 3DMark measurement unit is intended to give a normalized means for comparing different PC hardware configurations (mostly graphics processing units and central processing units), which proponents such as gamers and overclocking enthusiasts assert is indicative of end-user performance capabilities.
CodeXL's GPU profiler collects and visualizes hardware performance counters data, application trace, kernel occupancy, and offers hotspot analysis for AMD GPUs and APUs. . The profiler gathers data from the OpenCL runtime, and from the GPU/APU itself during the execution of the kernels, and can be used to discover performance bottlenecks and optimize kernel execut