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In computers, hardware performance counters (HPC), [1] or hardware counters are a set of special-purpose registers built into modern microprocessors to store the counts of hardware-related activities within computer systems. Advanced users often rely on those counters to conduct low-level performance analysis or tuning.
Performance profiler (sampled or instrumented) and analyzer, focused on game development. Proprietary Systemtap: Linux Programmable system tracing/probing tool; may be scripted to generate time- or performance-counter- or function-based profiles of the kernel and/or its userspace. Open source Valgrind: Linux, macOS, Solaris, Android
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]
In computer architecture, cycles per instruction (aka clock cycles per instruction, clocks per instruction, or CPI) is one aspect of a processor's performance: the average number of clock cycles per instruction for a program or program fragment. [1] It is the multiplicative inverse of instructions per cycle.
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As performance is part of the specification of a program – a program that is unusably slow is not fit for purpose: a video game with 60 Hz (frames-per-second) is acceptable, but 6 frames-per-second is unacceptably choppy – performance is a consideration from the start, to ensure that the system is able to deliver sufficient performance, and ...
Provider Count is the number of providers registered with the Windows Filtering Platform. Windows Time Service Windows Time Service Performance Counters display the time synchronization runtime information from the service. Note that the service has to be running in order for this information to be displayed.
It was released alongside PyPy 2.3.1 and bears the same version number. On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26]