Space- and Time-Efficient Implementation of the Java Object
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The Architecture of Decentvm
The Architecture of the DecentVM Towards a Decentralized Virtual Machine for Many-Core Computing Annette Bieniusa Johannes Eickhold Thomas Fuhrmann University of Freiburg, Germany Technische Universitat¨ Munchen,¨ Germany [email protected] fjeick,[email protected] Abstract We have accomplished these goals by combining an off-line Fully decentralized systems avoid bottlenecks and single points transcoder with a virtual machine that executes modified bytecode. of failure. Thus, they can provide excellent scalability and very The transcoder performs the verification and statically links the robust operation. The DecentVM is a fully decentralized, distributed required classes of an application or library. Thereby, the resulting virtual machine. Its simplified instruction set allows for a small binary – a so-called blob – is significantly smaller than the original VM code footprint. Its partitioned global address space (PGAS) class files, and its execution requires a significantly less complex memory model helps to easily create a single system image (SSI) virtual machine. Both these effects result in the low memory across many processors and processor cores. Originally, the VM was footprint of DecentVM. designed for networks of embedded 8-bit processors. Meanwhile, All libraries that are required by an application are identified via it also aims at clusters of many core processors. This paper gives a cryptographic hashes. Thus, an application’s code can be deployed brief overview of the DecentVM architecture. as if it was a statically linked executable. The software vendor can thus test the executable as it runs on the customer site without Categories and Subject Descriptors C.1.4 [Processor Architec- interference from different library versions. -
Dynamically Loaded Classes As Shared Libraries: an Approach to Improving Virtual Machine Scalability
Dynamically Loaded Classes as Shared Libraries: an Approach to Improving Virtual Machine Scalability Bernard Wong Grzegorz Czajkowski Laurent Daynès University of Waterloo Sun Microsystems Laboratories 200 University Avenue W. 2600 Casey Avenue Waterloo, Ontario N2L 3G1, Canada Mountain View, CA 94043, USA [email protected] {grzegorz.czajkowski, laurent.daynes}@sun.com Abstract machines sold today have sufficient amount of memory to hold a few instances of the Java virtual machine (JVMTM) Sharing selected data structures among virtual [2]. However, on servers hosting many applications, it is machines of a safe language can improve resource common to have many instances of the JVM running utilization of each participating run-time system. The simultaneously, often for lengthy periods of time. challenge is to determine what to share and how to share Aggregate memory requirement can therefore be large, it in order to decrease start-up time and lower memory and meeting it by adding more memory is not always an footprint without compromising the robustness of the option. In these settings, overall memory footprint must be system. Furthermore, the engineering effort required to kept to a minimum. For personal computer users, the main implement the system must not be prohibitive. This paper irritation is due to long start-up time, as they expect good demonstrates an approach that addresses these concerns TM responsiveness from interactive applications, which in in the context of the Java virtual machine. Our system contrast is of little importance in enterprise computing. transforms packages into shared libraries containing C/C++ programs typically do not suffer from excessive classes in a format matching the internal representation memory footprint or lengthy start-up time. -
Proceedings of the Third Virtual Machine Research and Technology Symposium
USENIX Association Proceedings of the Third Virtual Machine Research and Technology Symposium San Jose, CA, USA May 6–7, 2004 © 2004 by The USENIX Association All Rights Reserved For more information about the USENIX Association: Phone: 1 510 528 8649 FAX: 1 510 548 5738 Email: [email protected] WWW: http://www.usenix.org Rights to individual papers remain with the author or the author's employer. Permission is granted for noncommercial reproduction of the work for educational or research purposes. This copyright notice must be included in the reproduced paper. USENIX acknowledges all trademarks herein. MCI-Java: A Modified Java Virtual Machine Approach to Multiple Code Inheritance Maria Cutumisu, Calvin Chan, Paul Lu and Duane Szafron Department of Computing Science, University of Alberta {meric, calvinc, paullu, duane}@cs.ualberta.ca Abstract Java has multiple inheritance of interfaces, but only single inheritance of code via classes. This situation results in duplicated code in Java library classes and application code. We describe a generalization to the Java language syntax and the Java Virtual Machine (JVM) to support multiple inheritance of code, called MCI-Java. Our approach places multiply-inherited code in a new language construct called an implementation, which lies between an interface and a class in the inheritance hierarchy. MCI-Java does not support multiply-inherited data, which can cause modeling and performance problems. The MCI-Java extension is implemented by making minimal changes to the Java syntax, small changes to a compiler (IBM Jikes), and modest localized changes to a JVM (SUN JDK 1.2.2). The JVM changes result in no measurable performance overhead in real applications. -
Design and Implementation of a Scala Compiler Backend Targeting the Low Level Virtual Machine Geoffrey Reedy
University of New Mexico UNM Digital Repository Computer Science ETDs Engineering ETDs 5-1-2014 Design and Implementation of a Scala Compiler Backend Targeting the Low Level Virtual Machine Geoffrey Reedy Follow this and additional works at: https://digitalrepository.unm.edu/cs_etds Recommended Citation Reedy, Geoffrey. "Design and Implementation of a Scala Compiler Backend Targeting the Low Level Virtual Machine." (2014). https://digitalrepository.unm.edu/cs_etds/67 This Thesis is brought to you for free and open access by the Engineering ETDs at UNM Digital Repository. It has been accepted for inclusion in Computer Science ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. Geoffrey Reedy Candidate Computer Science Department This thesis is approved, and it is acceptable in quality and form for publication: Approved by the Thesis Committee: Darko Stefanovic , Chairperson Jed Crandall Matthew Lakin Design and Implementation of a Scala Compiler Backend Targeting the Low Level Virtual Machine by Geoffrey Reedy B.S., Computer Science, University of Missouri — Rolla, 2004 THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science Computer Science The University of New Mexico Albuquerque, New Mexico May, 2014 ©2014, Geoffrey Reedy iii Design and Implementation of a Scala Compiler Backend Targeting the Low Level Virtual Machine by Geoffrey Reedy B.S., Computer Science, University of Missouri — Rolla, 2004 M.S., Computer Science, University of New Mexico, 2014 Abstract The Scala programming language successfully blends object-oriented and functional programming. The current implementation of Scala is tied to the Java Virtual Machine (JVM) which constrains the implementation and deployment targets. -
Java and C CSE351, Summer 2018
L23: Java and C CSE351, Summer 2018 Java and C CSE 351 Summer 2018 Instructor: Justin Hsia Teaching Assistants: Josie Lee Natalie Andreeva Teagan Horkan https://xkcd.com/801/ L23: Java and C CSE351, Summer 2018 Administrivia Lab 5 due Friday (8/17) at 11:59 pm . Hard deadline Course evaluations now open . See Piazza post @120 for links Final Exam: Friday in lecture . Review Session: Wed, 8/15, 5‐6:30 pm in EEB 045 . You get ONE double‐sided handwritten 8.5 11” cheat sheet 2 L23: Java and C CSE351, Summer 2018 Roadmap C: Java: Memory & data car *c = malloc(sizeof(car)); Car c = new Car(); Integers & floats c->miles = 100; c.setMiles(100); x86 assembly c->gals = 17; c.setGals(17); Procedures & stacks float mpg = get_mpg(c); float mpg = Executables free(c); c.getMPG(); Arrays & structs Memory & caches Assembly get_mpg: Processes language: pushq %rbp movq %rsp, %rbp Virtual memory ... Memory allocation popq %rbp Java vs. C ret OS: Machine 0111010000011000 100011010000010000000010 code: 1000100111000010 110000011111101000011111 Computer system: 3 L23: Java and C CSE351, Summer 2018 Java vs. C Reconnecting to Java (hello CSE143!) . But now you know a lot more about what really happens when we execute programs We’ve learned about the following items in C; now we’ll see what they look like for Java: . Representation of data . Pointers / references . Casting . Function / method calls including dynamic dispatch 4 L23: Java and C CSE351, Summer 2018 Worlds Colliding CSE351 has given you a “really different feeling” about what computers do and how programs execute We have occasionally contrasted to Java, but CSE143 may still feel like “a different world” . -
G22.2110-003 Programming Languages - Fall 2012 Lecture 12
G22.2110-003 Programming Languages - Fall 2012 Lecture 12 Thomas Wies New York University Review Last lecture I Modules Outline I Classes I Encapsulation and Inheritance I Initialization and Finalization I Dynamic Method Binding I Abstract Classes I Simulating First-Class Functions Sources: I PLP, ch. 9 I PLP, ch. 3.6.3 What is OOP? (part I) The object idea: I bundling of data (data members) and operations (methods) on that data I restricting access to the data An object contains: I data members: arranged as a set of named fields I methods: routines which take the object they are associated with as an argument (known as member functions in C++) A class is a construct which defines the data and methods associated with all of its instances (objects). What is OOP? (part II) The inheritance and dynamic binding ideas: I inheritance: classes can be extended: I by adding new fields I by adding new methods I by overriding existing methods (changing behavior) If class B extends class A, we say that B is a subclass (or a derived or child class) of A, and A is a superclass (or a base or a parent class) of B. I dynamic binding: wherever an instance of a class is required, we can also use an instance of any of its subclasses; when we call one of its methods, the overridden versions are used. Information Hiding in Classes Like modules, classes can restrict access to their data and methods. Unlike modules, classes must take inheritance into account in their access control. -
Virtual Memory
Topic 18: Virtual Memory COS / ELE 375 Computer Architecture and Organization Princeton University Fall 2015 Prof. David August 1 Virtual Memory Any time you see virtual, think “using a level of indirection” Virtual memory: level of indirection to physical memory • Program uses virtual memory addresses • Virtual address is converted to a physical address • Physical address indicates physical location of data • Physical location can be memory or disk! 0x800 Disk:Mem: 0x803C4 0x3C00 Virtual address Physical address 2 Virtual Memory 3 Virtual Memory 1 4 Virtual Memory: Take 1 Main memory may not be large enough for a task • Programmers turn to overlays and disk • Many programs would have to do this • Programmers should have to worry about main memory size across machines Use virtual memory to make memory look bigger for all programs 5 A System with Only Physical Memory Examples: Most Cray machines, early PCs, nearly all current embedded systems, etc. Memory 0: 1: Store 0x10 CPU Load 0xf0 N-1: CPU’s load or store addresses used directly to access memory. 6 A System with Virtual Memory Examples: modern workstations, servers, PCs, etc. Memory 0: Page Table 1: Virtual Physical Addresses 0: Addresses 1: Store 0x10 CPU Load 0xf0 P-1: N-1: Disk Address Translation: the hardware converts virtual addresses into physical addresses via an OS-managed lookup table (page table) 7 Page Faults (Similar to “Cache Misses”) What if an object is on disk rather than in memory? 1. Page table indicates that the virtual address is not in memory 2. OS trap handler is invoked, moving data from disk into memory • Current process suspends, others can resume • OS has full control over placement, etc. -
Concept-Oriented Programming: References, Classes and Inheritance Revisited
Concept-Oriented Programming: References, Classes and Inheritance Revisited Alexandr Savinov Database Technology Group, Technische Universität Dresden, Germany http://conceptoriented.org Abstract representation and access is supposed to be provided by the translator. Any object is guaranteed to get some kind The main goal of concept-oriented programming (COP) is of primitive reference and a built-in access procedure describing how objects are represented and accessed. It without a possibility to change them. Thus there is a makes references (object locations) first-class elements of strong asymmetry between the role of objects and refer- the program responsible for many important functions ences in OOP: objects are intended to implement domain- which are difficult to model via objects. COP rethinks and specific structure and behavior while references have a generalizes such primary notions of object-orientation as primitive form and are not modeled by the programmer. class and inheritance by introducing a novel construct, Programming means describing objects but not refer- concept, and a new relation, inclusion. An advantage is ences. that using only a few basic notions we are able to describe One reason for this asymmetry is that there is a very many general patterns of thoughts currently belonging to old and very strong belief that it is entity that should be in different programming paradigms: modeling object hier- the focus of modeling (including programming) while archies (prototype-based programming), precedence of identities simply serve entities. And even though object parent methods over child methods (inner methods in identity has been considered “a pillar of object orienta- Beta), modularizing cross-cutting concerns (aspect- tion” [Ken91] their support has always been much weaker oriented programming), value-orientation (functional pro- in comparison to that of entities. -
Java in Embedded Linux Systems
Java in Embedded Linux Systems Java in Embedded Linux Systems Thomas Petazzoni / Michael Opdenacker Free Electrons http://free-electrons.com/ Created with OpenOffice.org 2.x Java in Embedded Linux Systems © Copyright 2004-2007, Free Electrons, Creative Commons Attribution-ShareAlike 2.5 license http://free-electrons.com Sep 15, 2009 1 Rights to copy Attribution ± ShareAlike 2.5 © Copyright 2004-2008 You are free Free Electrons to copy, distribute, display, and perform the work [email protected] to make derivative works to make commercial use of the work Document sources, updates and translations: Under the following conditions http://free-electrons.com/articles/java Attribution. You must give the original author credit. Corrections, suggestions, contributions and Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license translations are welcome! identical to this one. For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. License text: http://creativecommons.org/licenses/by-sa/2.5/legalcode Java in Embedded Linux Systems © Copyright 2004-2007, Free Electrons, Creative Commons Attribution-ShareAlike 2.5 license http://free-electrons.com Sep 15, 2009 2 Best viewed with... This document is best viewed with a recent PDF reader or with OpenOffice.org itself! Take advantage of internal -
Chapter 9 Pointers
Chapter 9 Pointers Objectives ❏ To understand the concept and use of pointers ❏ To be able to declare, define, and initialize pointers ❏ To write programs that access data through pointers ❏ To use pointers as parameters and return types ❏ To understand pointer compatibility, especially regarding pointers to pointers ❏ To understand the role of quality in software engineering Computer Science: A Structured Programming Approach Using C 1 FIGURE 9-1 Derived Types Computer Science: A Structured Programming Approach Using C 2 9-1 Introduction A pointer is a constant or variable that contains an address that can be used to access data. Pointers are built on the basic concept of pointer constants. Topics discussed in this section: Pointer Constants Pointer Values Pointer Variables Accessing Variables Through Pointers Pointer Declaration and Definition Declaration versus Redirection Initialization of Pointer Variables Computer Science: A Structured Programming Approach Using C 3 FIGURE 9-2 Character Constants and Variables Computer Science: A Structured Programming Approach Using C 4 FIGURE 9-3 Pointer Constants Computer Science: A Structured Programming Approach Using C 5 Note Pointer constants, drawn from the set of addresses for a computer, exist by themselves. We cannot change them; we can only use them. Computer Science: A Structured Programming Approach Using C 6 Note An address expression, one of the expression types in the unary expression category, consists of an ampersand (&) and a variable name. Computer Science: A Structured Programming Approach Using C 7 FIGURE 9-4 Print Character Addresses Computer Science: A Structured Programming Approach Using C 8 Note A variable’s address is the first byte occupied by the variable. -
Pointers Pointers – Getting the Address of a Value the Address Operator (&) Returns the Memory Address of a Variable
System Design and Programming II CSCI – 194 Section 01 CRN: 10968 Fall 2017 David L. Sylvester, Sr., Assistant Professor Chapter 9 Pointers Pointers – Getting the Address of a Value The address operator (&) returns the memory address of a variable. Every variable is allocated a section of memory large enough to hold a value of the variable data type. Commonly char one bytes shorts two bytes int, long, float four bytes double eight bytes Each byte of memory has a memory address. A variable’s address is the address of the first byte allocated to that variable. Ex: char letter; short number; float amount; letter number amount 1200 1201 1203 The addresses of the variables above are used as an example. Getting the address of a variable is accomplished by using the (&) operator in front of the variable name. It allows the system to return the address of that variable in hexadecimal. Ex: &amount //returns the variable’s address cout << &amount // displays the variable’s address Note: Do not confuse the address operator with the & symbol used when defining a referenced variable. Pointers – Sample Program // This program uses the & operator to determine a variable's // address and the sizeof operator to determine its size. #include <iostream> using namespace std; int main() { int x = 25; cout << "The address of x is " << &x << endl; cout << "The size of x is " << sizeof(x) << " bytes\n"; cout << "The value of x is "<< x << endl; } Sample output Pointers Variables Pointer variables or pointers, are special variables that hold a memory address. Just as int variables are designed to hold integers, pointers variables are designed to hold memory addresses. -
Effective Inline-Threaded Interpretation of Java Bytecode
Effective Inline-Threaded Interpretation of Java Bytecode Using Preparation Sequences Etienne Gagnon1 and Laurie Hendren2 1 Sable Research Group Universit´eduQu´ebec `a Montr´eal, [email protected] 2 McGill University Montreal, Canada, [email protected] Abstract. Inline-threaded interpretation is a recent technique that im- proves performance by eliminating dispatch overhead within basic blocks for interpreters written in C [11]. The dynamic class loading, lazy class initialization, and multi-threading features of Java reduce the effective- ness of a straight-forward implementation of this technique within Java interpreters. In this paper, we introduce preparation sequences, a new technique that solves the particular challenge of effectively inline-threa- ding Java. We have implemented our technique in the SableVM Java virtual machine, and our experimental results show that using our tech- nique, inline-threaded interpretation of Java, on a set of benchmarks, achieves a speedup ranging from 1.20 to 2.41 over switch-based inter- pretation, and a speedup ranging from 1.15 to 2.14 over direct-threaded interpretation. 1 Introduction One of the main advantages of interpreters written in high-level languages is their simplicity and portability, when compared to static and dynamic compiler-based systems. One of their main drawbacks is poor performance, due to a high cost for dispatching interpreted instructions. In [11], Piumarta and Riccardi introduced a technique called inlined-threading which reduces this overhead by dynamically inlining instruction sequences within basic blocks, leaving a single instruction dispatch at the end of each sequence. To our knowledge, inlined-threading has not been applied to Java interpreters before.