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perf (sometimes called perf_events [1] or perf tools, originally Performance Counters for Linux, PCL) [2] is a performance analyzing tool in Linux, available from Linux kernel version 2.6.31 in 2009. [3]
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.
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
Ganglia is a scalable, distributed monitoring tool for high-performance computing systems, clusters and networks. The software is used to view either live or recorded statistics covering metrics such as CPU load averages or network utilization for many nodes.
nmon (Nigel's Monitor [2]) is a computer performance system monitor tool for the AIX and Linux operating systems. [3] [4] The nmon tool has two modes a) displays the performance stats on-screen in a condensed format or b) the same stats are saved to a comma-separated values (CSV) data file for later graphing and analysis to aid the understanding of computer resource use, tuning options and ...
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.
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.
The main competing factor was the price of hardware and raw performance in 3D computer games, which is greatly affected by the efficient translation of API calls into GPU opcodes. The display driver and the video decoder are inherent parts of the graphics card: hardware designed to assist in the calculations necessary for the decoding of video ...