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See Application Performance Management. Proprietary Instruments with Xcode: macOS C, C++, Objective-C/C++, Swift, Cocoa apps. Instruments shows a time line displaying any event occurring in the application, such as CPU activity variation, memory allocation, and network and file activity, together with graphs and statistics.
The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [3] Deciding the optimal thread pool size is crucial to optimize performance.
Profiling results can be used to guide the design and optimization of an individual algorithm; the Krauss matching wildcards algorithm is an example. [5] Profilers are built into some application performance management systems that aggregate profiling data to provide insight into transaction workloads in distributed applications. [6]
Allinea DDT - a graphical debugger supporting for parallel/multi-process and multithreaded applications, for C/C++ and F90. DDD is the standard front-end from the GNU Project. It is a complex tool that works with most common debuggers (GDB, jdb, Python debugger, Perl debugger, Tcl, and others) natively or with some external programs (for PHP).
In computer programming, profile-guided optimization (PGO, sometimes pronounced as pogo [1]), also known as profile-directed feedback (PDF) [2] or feedback-directed optimization (FDO), [3] is the compiler optimization technique of using prior analyses of software artifacts or behaviors ("profiling") to improve the expected runtime performance of the program.
For example, Sun's Java Virtual Machine has two major modes—client and server. In client mode, minimal compilation and optimization is performed, to reduce startup time. In server mode, extensive compilation and optimization is performed, to maximize performance once the application is running by sacrificing startup time.
QP consists of a universal UML-compliant event processor (QEP), a portable, event-driven, real-time framework (QF), a selection of built-in real-time kernels (QV, QK, or QXK), and a software tracing system (QS). Figure 1: Block diagram showing QP components and their relationship to the hardware and the application
U++, formally known as Ultimate++ - is a C++ RAD framework that aims to reduce the code complexity of typical desktop applications by including all necessary toolkits into a single C++ framework. Programs created with it works on multiple Operating Systems and Hardware Architectures with performance without needing to write platform-specific code.