DDL: Extending Dynamic Linking for Program Customization, Analysis, and Evolution
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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. -
CHERI C/C++ Programming Guide
UCAM-CL-TR-947 Technical Report ISSN 1476-2986 Number 947 Computer Laboratory CHERI C/C++ Programming Guide Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann June 2020 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 https://www.cl.cam.ac.uk/ c 2020 Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann, SRI International This work was supported by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and HR0011-18-C-0016 (“ECATS”). The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. This work was supported in part by the Innovate UK project Digital Security by Design (DSbD) Technology Platform Prototype, 105694. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 789108), ERC Advanced Grant ELVER. We also acknowledge the EPSRC REMS Programme Grant (EP/K008528/1), Arm Limited, HP Enterprise, and Google, Inc. Approved for Public Release, Distribution Unlimited. Technical reports published by the University of Cambridge Computer Laboratory are freely available via the Internet: https://www.cl.cam.ac.uk/techreports/ ISSN 1476-2986 3 Abstract This document is a brief introduction to the CHERI C/C++ programming languages. -
Optimizing the Use of High Performance Software Libraries
Optimizing the Use of High Performance Software Libraries Samuel Z. Guyer and Calvin Lin The University of Texas at Austin, Austin, TX 78712 Abstract. This paper describes how the use of software libraries, which is preva- lent in high performance computing, can benefit from compiler optimizations in much the same way that conventional computer languages do. We explain how the compilation of these informal languages differs from the compilation of more conventional computer languages. In particular, such compilation requires precise pointer analysis, requires domain-specific information about the library’s seman- tics, and requires a configurable compilation scheme. Finally, we show that the combination of dataflow analysis and pattern matching form a powerful tool for performing configurable optimizations. 1 Introduction High performance computing, and scientific computing in particular, relies heavily on software libraries. Libraries are attractive because they provide an easy mechanism for reusing code. Moreover, each library typically encapsulates a particular domain of ex- pertise, such as graphics or linear algebra, and the use of such libraries allows program- mers to think at a higher level of abstraction. In many ways, libraries are simply in- formal domain-specific languages whose only syntactic construct is the procedure call. This procedural interface is significant because it couches these informal languages in a familiar form, which is less imposing than a new computer language that introduces new syntax. Unfortunately, while libraries are not viewed as languages by users, they also are not viewed as languages by compilers. With a few exceptions, compilers treat each invocation of a library routine the same as any other procedure call. -
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. -
Program-Library-HOWTO.Pdf
Program Library HOWTO David A. Wheeler version 1.20, 11 April 2003 This HOWTO for programmers discusses how to create and use program libraries on Linux. This includes static libraries, shared libraries, and dynamically loaded libraries. Program Library HOWTO Table of Contents 1. Introduction.....................................................................................................................................................1 2. Static Libraries................................................................................................................................................2 3. Shared Libraries.............................................................................................................................................3 3.1. Conventions......................................................................................................................................3 3.1.1. Shared Library Names.............................................................................................................3 3.1.2. Filesystem Placement..............................................................................................................4 3.2. How Libraries are Used....................................................................................................................4 3.3. Environment Variables.....................................................................................................................5 3.3.1. LD_LIBRARY_PATH............................................................................................................5 -
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” . -
Architectural Support for Dynamic Linking Varun Agrawal, Abhiroop Dabral, Tapti Palit, Yongming Shen, Michael Ferdman COMPAS Stony Brook University
Architectural Support for Dynamic Linking Varun Agrawal, Abhiroop Dabral, Tapti Palit, Yongming Shen, Michael Ferdman COMPAS Stony Brook University Abstract 1 Introduction All software in use today relies on libraries, including All computer programs in use today rely on software standard libraries (e.g., C, C++) and application-specific libraries. Libraries can be linked dynamically, deferring libraries (e.g., libxml, libpng). Most libraries are loaded in much of the linking process to the launch of the program. memory and dynamically linked when programs are Dynamically linked libraries offer numerous benefits over launched, resolving symbol addresses across the applica- static linking: they allow code reuse between applications, tions and libraries. Dynamic linking has many benefits: It conserve memory (because only one copy of a library is kept allows code to be reused between applications, conserves in memory for all applications that share it), allow libraries memory (because only one copy of a library is kept in mem- to be patched and updated without modifying programs, ory for all the applications that share it), and allows enable effective address space layout randomization for libraries to be patched and updated without modifying pro- security [21], and many others. As a result, dynamic linking grams, among numerous other benefits. However, these is the predominant choice in all systems today [7]. benefits come at the cost of performance. For every call To facilitate dynamic linking of libraries, compiled pro- made to a function in a dynamically linked library, a trampo- grams include function call trampolines in their binaries. line is used to read the function address from a lookup table When a program is launched, the dynamic linker maps the and branch to the function, incurring memory load and libraries into the process address space and resolves external branch operations. -
CS429: Computer Organization and Architecture Linking I & II
CS429: Computer Organization and Architecture Linking I & II Dr. Bill Young Department of Computer Sciences University of Texas at Austin Last updated: April 5, 2018 at 09:23 CS429 Slideset 23: 1 Linking I A Simplistic Translation Scheme m.c ASCII source file Problems: Efficiency: small change Compiler requires complete re-compilation. m.s Modularity: hard to share common functions (e.g., printf). Assembler Solution: Static linker (or Binary executable object file linker). p (memory image on disk) CS429 Slideset 23: 2 Linking I Better Scheme Using a Linker Linking is the process of m.c a.c ASCII source files combining various pieces of code and data into a Compiler Compiler single file that can be loaded (copied) into m.s a.s memory and executed. Linking could happen at: Assembler Assembler compile time; Separately compiled m.o a.o load time; relocatable object files run time. Linker (ld) Must somehow tell a Executable object file module about symbols p (code and data for all functions defined in m.c and a.c) from other modules. CS429 Slideset 23: 3 Linking I Linking A linker takes representations of separate program modules and combines them into a single executable. This involves two primary steps: 1 Symbol resolution: associate each symbol reference throughout the set of modules with a single symbol definition. 2 Relocation: associate a memory location with each symbol definition, and modify each reference to point to that location. CS429 Slideset 23: 4 Linking I Translating the Example Program A compiler driver coordinates all steps in the translation and linking process. -
SSC Reference Manual SDK 2017-1-17, Version 170
SSC Reference Manual SDK 2017-1-17, Version 170 Aron Dobos and Paul Gilman January 13, 2017 The SSC (SAM Simulation Core) software library is the collection of simu- lation modules used by the National Renewable Energy Laboratory’s System Advisor Model (SAM). The SSC application programming interface (API) al- lows software developers to integrate SAM’s modules into web and desktop applications. The API includes mechanisms to set input variable values, run simulations, and retrieve values of output variables. The SSC modules are available in pre-compiled binary dynamic libraries minimum system library de- pendencies for Windows, OS X, and Linux operating systems. The native API language is ISO-standard C, and language wrappers are available for C#, Java, MATLAB, Python, and PHP. The API and model implementations are thread- safe and reentrant, allowing the software to be used in a parallel computing environment. This document describes the SSC software architecture, modules and data types, provides code samples, introduces SDKtool, and describes the language wrappers. Contents 2 Contents 1 Overview4 1.1 Framework Description.............................. 4 1.2 Modeling an Energy System........................... 4 2 An Example: Running PVWatts5 2.1 Write the program skeleton ........................... 6 2.2 Create the data container ............................ 6 2.3 Assign values to the module input variables.................. 7 2.4 Run the module.................................. 7 2.5 Retrieve results from the data container and display them.......... 8 2.6 Cleaning up.................................... 8 2.7 Compile and run the C program ........................ 9 2.8 Some additional comments............................ 9 3 Data Variables9 3.1 Variable Names.................................. 10 3.2 Variable Types ................................. -
Protecting Against Unexpected System Calls
Protecting Against Unexpected System Calls C. M. Linn, M. Rajagopalan, S. Baker, C. Collberg, S. K. Debray, J. H. Hartman Department of Computer Science University of Arizona Tucson, AZ 85721 {linnc,mohan,bakers,collberg,debray,jhh}@cs.arizona.edu Abstract writing the return address on the stack with the address of the attack code). This then causes the various actions This paper proposes a comprehensive set of techniques relating to the attack to be carried out. which limit the scope of remote code injection attacks. These techniques prevent any injected code from mak- In order to do any real damage, e.g., create a root ing system calls and thus restrict the capabilities of an shell, change permissions on a file, or access proscribed attacker. In defending against the traditional ways of data, the attack code needs to execute one or more sys- harming a system these techniques significantly raise the tem calls. Because of this, and the well-defined system bar for compromising the host system forcing the attack call interface between application code and the underly- code to take extraordinary steps that may be impractical ing operating system kernel, many researchers have fo- in the context of a remote code injection attack. There cused on the system call interface as a convenient point are two main aspects to our approach. The first is to for detecting and disrupting such attacks (see, for exam- embed semantic information into executables identify- ple, [5, 13, 17, 19, 29, 32, 35, 38]; Section 7 gives a more ing the locations of legitimate system call instructions; extensive discussion).