301AA - Advanced Programming [AP-2017]
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1 301AA - Advanced Programming [AP-2017] Lecturer: Andrea Corradini andrea@di.unipi.it Tutor: Lillo GalleBa galleba@di.unipi.it Department of Computer Science, Pisa Academic Year 2017/18 AP : Run&me Systems and intro to JVM
2 Overview RunNme Systems The Java RunNme Environment The JVM as an abstract machine JVM Data Types JVM RunNme Data Areas MulNthreading Per-thread Data Areas Dynamic Linking JIT compilanon Method Area 2
3 RunNme system Every programming language defines an execu%on model A run%me system implements (part of) such execunon model, providing support during the execunon of corresponding programs Run%me support is needed both by interpreted and by compiled programs, even if typically less by the laber 3
4 RunNme system (2) The runnme system can be made of Code in the execunng program generated by the compiler Code running in other threads/processes during program execunon Language libraries OperaNng systems funcnonalines The interpreter / virtual machine itself 4
5 RunNme Support needed for Memory management Stack management: Push/pop of acnvanon records Heap management: allocanon, garbage collecnon Input/Output Interface to file system / network sockets / I/O devices InteracNon with the run%me environment, state values accessible during execunon (eg. environment variables) acnve ennnes like disk drives and people via keyboards. 5
6 RunNme Support needed for (2) Parallel execunon via threads/tasks/processes Dynamic type checking and dynamic binding Dynamic loading and linking of modules Debugging Code generanon (for JIT compilanon) and OpNmizaNon VerificaNon and monitoring 6
7 Java RunNme Enviroment - JRE Includes all what is needed to run compiled Java programs JVM Java Virtual Machine JCL Java Class Library (Java API) We shall focus on the JVM as a real runnme system covering most of the funcnonalines just listed Reference documentanon: The Java TM Virtual Machine SpecificaNon, Java SE 8 EdiNon The Java Language SpecificaNon, Java SE 8 EdiNon è Java 9 officially released on September 21,
8 What is the JVM? The JVM is an abstract machine in the true sense of the word. The JVM specificanon does not give implementanon details like memory layout of run-nme data area, garbage-collecnon algorithm, internal opnmizanon (can be dependent on target OS/plagorm, performance requirements, etc.) The JVM specificanon defines a machine independent class file format that all JVM implementanons must support The JVM imposes strong syntac%c and structural constraints on the code in a class file. Any language with funcnonality that can be expressed in terms of a valid class file can be hosted by the JVM 8
9 ExecuNon model JVM is a mul&-threaded stack based machine JVM instrucnons implicitly take arguments from the top of the operand stack of the current frame put their result on the top of the operand stack The operand stack is used to pass arguments to methods return a result from a method store intermediate results while evaluanng expressions store local variables 9
10 Java Abstact Machine Hierarchy 10
11 Class Files and Class File Format External representa%on (plagorm independent).class files load JVM Internal representa%on (implementanon dependent) classes priminve types objects arrays methods strings 11
12 JVM Data Types Primi%ve types: boolean: boolean (support only for arrays) numeric integral: byte, short, int, long, char! numeric floanng point: float, double! internal, for excepnon handling: returnaddress! Reference types: class types array types interface types Note: No type informanon on local variables at runnme Types of operands specified by opcodes (eg: iadd, fadd,.) 12
13 Object RepresentaNon Lep to the implementanon Including concrete value of null This add extra level of indirecnon need pointers to instance data and class data make garbage collecnon easier Object representanon must include mutex lock GC state (flags) 13
14 JVM RunNme Data Areas Per Thread Area Shared among Threads 14 14
15 Threads JVM allows mulnple threads per applicanon, starnng with main Created as instances of Thread invoking start() (which invokes run() )! Several background (daemon) system threads for Garbage collecnon, finalizanon Signal dispatching CompilaNon, etc. Threads can be supported by Nme-slicing and/or mulnple processors 15
16 Threads (2) Threads have shared access to heap and persistent memory Complex specificanon of consistency model volanles working memory vs. general store non-atomic longs and doubles The Java programming language memory model prescribes the behaviour of mulnthreaded programs (JLS-8 Ch. 17) 16
17 { y o O [ Java Thread Life Cycle Object.notify() Thread.interrupt() timeout waiting sleep finished Thread.interrupt() Thread.sleep() suspended Object.wait() Thread.start() / ready f expired time slot or Thread.yield() selected / in execution terminated return from run() o Thread.stop() I/O data ready or monitor free blocked I/O or monitor request 17
18 Per Thread Data Areas pc: pointer to next instrucnon in method area undefined if current method is na&ve The java stack: a stack of frames (or ac&va&on records). A new frame is created each Nme a method is invoked and it is destroyed when the method completes. The JVMS does not require that frames are allocated connguously The na%ve stack: is used for invocanon of nanve funcnons, through the JNI (Java NaNve Interface) When a nanve funcnon is invoked, eg. a C funcnon, execunon connnues using the nanve stack NaNve funcnons can call back Java methods, which use the Java stack 18
19 Structure of frames Local Variable Array (32 bits) containing Reference to this (if instance method) Method parameters Local variables Operand Stack to support evaluanon of expressions and evalutanon of the method Most JVM bytecodes manipulate the stack Reference to Constant Pool of current class 19
20 Dynamic Linking (1) The reference to the constant pool for the current class helps to support dynamic linking. In C/C++ typically mulnple object files are linked together to produce an executable or dll. During the linking phase symbolic references are replaced with an actual memory address relanve to the final executable. In Java this linking phase is done dynamically at runnme. When a Java class is compiled, all references to variables and methods are stored in the class's constant pool as a symbolic reference. 20
21 Dynamic Linking (2) The JVM implementanon can choose when to resolve symbolic references. Eager or sta%c resolu%on: when the class file is verified aper being loaded Lazy or late resolu%on: when the symbolic reference is used for the first Nme The JVM has to behave as if the resolunon occurred when each reference is first used and throw any resolunon errors at this point. Binding is the process of the ennty (field, method or class) idennfied by the symbolic reference being replaced by a direct reference This only happens once because the symbolic reference is completely replaced in the constant pool If the symbolic reference refers to a class that has not yet been resolved then this class will be loaded. 21
22 Data Areas Shared by Threads: Heap Memory for objects and arrays; unlike C/C++ they are never allocated to stack Explicit deallocanon not supported. Only by garbage collecnon. The HotSpot JVM includes four Genera%onal Garbage Collec%on Algorithms 22
23 Data Areas Shared by Threads: Non-Heap Memory for objects which are never deallocated, needed for the JVM execunon Method area Interned strings Code cache for JIT 23
24 JIT compilanon The Hotspot JVM (and other JVMs) profiles the code during interpretanon, looking for hot areas of byte code that are executed regularly These parts are compiled to nanve code. Such code is then stored in the code cache in non-heap memory. 24
25 Method area The memory where class files are loaded. For each class: Classloader Reference From the class file: Run Time Constant Pool Field data Method data Method code Note: Method area is shared among thread. Access to it has to be thread safe. Changes of method area when: A new class is loaded A symbolic link is resolved by dynamic linking 25
301AA - Advanced Programming
301AA - Advanced Programming Lecturer: Andrea Corradini andrea@di.unipi.it h;p://pages.di.unipi.it/corradini/ Course pages: h;p://pages.di.unipi.it/corradini/dida@ca/ap-18/ AP-2018-04: Run&me Systems and
More information301AA - Advanced Programming [AP-2017]
301AA - Advanced Programming [AP-2017] Lecturer: Andrea Corradini andrea@di.unipi.it Tutor: Lillo GalleBa galleba@di.unipi.it Department of Computer Science, Pisa Academic Year 2017/18 AP-2017-19: Type
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