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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]
Since C++23, the C++ standard library can now be imported as a module, but must be imported in its entirety rather than importing specific packages of the library like in Java, with import std;, or optionally if requiring the C standard library in the global scope, with import std.compat;.
Comparison of ALGOL 68 and C++; ALGOL 68: Comparisons with other languages; Compatibility of C and C++; Comparison of Pascal and Borland Delphi; Comparison of Object Pascal and C; Comparison of Pascal and C; Comparison of Java and C++; Comparison of C# and Java; Comparison of C# and Visual Basic .NET; Comparison of Visual Basic and Visual Basic ...
Windows: C++ and C#: Windows Forms and WPF, through IronPython: Python tools under Apache License 2.0: Yes Yes Yes No Unknown Unknown Unknown Yes [54] Unknown Unknown Yes Basic refactoring Yes Yes MonoDevelop: Novell and the Mono community 6.1.2.44 2016-11-11 Windows, Linux, macOS, FreeBSD, OpenBSD, Solaris: C#: Gtk# LGPL: Unknown ...
Java provides java.util.Date, a mutable reference type with millisecond precision, and (since Java 8) the java.time package (including classes such as LocalDate, LocalTime, and LocalDateTime for date-only, time-only, and date-and-time values), a set of immutable reference types with nanosecond precision. [24]
Tiered compiling, an option introduced in Java 7, uses both the client and server compilers in tandem to provide faster startup time than the server compiler, but similar or better peak performance. [9] Starting in Java 8, tiered compilation is the default for the server VM. [10] HotSpot is written in C++ and Assembly.
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The JIT compiler reads the bytecodes in many sections (or in full, rarely) and compiles them dynamically into machine code so the program can run faster. This can be done per-file, per-function or even on any arbitrary code fragment; the code can be compiled when it is about to be executed (hence the name "just-in-time"), and then cached and ...