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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.
Benchmarks often measure performance for small numerically intensive programs. In some rare real-life programs, Java out-performs C. One example is the benchmark of Jake2 (a clone of Quake II written in Java by translating the original GPL C code). The Java 5.0 version performs better in some hardware configurations than its C counterpart. [42]
The body of this method must contain the code required to perform this evaluation. Since the introduction of lambda expressions in Java SE8, Java has supported a compact notation for this. The following example generic interface provides a framework for lazy evaluation: [23] [24]
A profiler can be applied to an individual method or at the scale of a module or program, to identify performance bottlenecks by making long-running code obvious. [1] A profiler can be used to understand code from a timing point of view, with the objective of optimizing it to handle various runtime conditions [2] or various loads. [3]
The following tables list notable software packages that are nominal IDEs; standalone tools such as source-code editors and GUI builders are not included. These IDEs are listed in alphabetic order of the supported language.
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 ...
Mailing list; tutorials; FAQ; bug list; documentation; developer contacts Unknown Unknown November 27, 2018 [10] Swarm: General purpose agent based Swarm Development Group GPL Java; Objective-C Cross-platform Wiki; tutorials; examples; documentation; FAQ; selected publications; mailing lists Unknown Unknown 2005 [11]
First, we execute the program with the standard branch predictor on the processor, which yields an execution time of 2.25 seconds. Next, we execute the program with our modified (and hopefully improved) branch predictor on the same processor, which produces an execution time of 1.50 seconds. In both cases the execution workload is the same.