Selected
References on Efficient Profiling Systems
o Peter F. Sweeney, Matthias Hauswirth, Brendon Cahoon, Perry Cheng, Amer Diwan, David Grove, Michael Hind, Using Hardware Performance Monitors to Understand the Behavior of Java Applications , VM 04
o Matthias Hauswirth, Peter F. Sweeney, Amer Diwan, Michael Hind , Vertical Profiling: Understanding the Behavior of Object Oriented Applications, OOPSLA 04
o Lieven Eeckhout, Andy Georges, and Koen De Bosschere, How Java Programs Interact with Virtual Machines at the Microarchitectural Level, OOPSLA 03
o Shai rubin, Ras Bodik, Trishul Chilimbi, An Efficient Profile-Analysis Framework for Data-Layout Optimizations, PLDI 02
o Matthew Arnold, Michael Hind, Barbara G. Ryder , Online Feedback Directed Optimization of Java, OOPSLA 02
o Mustafa M. Tikir, Jeffrey K. Hollingsworth, Using Hardware Counters to Automatically Improve Memory Performance, SC 04
o Trishul M. Chilimbi, and Martin Hirzel, Dynamic Hot Data Stream Prefetching for General-Purpose Programs, PLDI02
o Howard Chen, Wei-Chung Hsu, Jiwei Lu, Pen-Chung Yew, Dong-Yuan Chen, Dynamic trace selection using performance monitoring hardware sampling, CGO 03
o Thomas Kistler, Michael Franz, Continuous Program Optimization: A Case Study, TOPLAS 03
o Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney, A survey of Adaptive Optimization in Virtual Machines, IBM TR 03
o Xiaolan Zhang, Zheng Wang, Nicholas Gloy, J. Bradley Chen, Michael D. Smith, System Support for Automatic Profiling and Optimization, SOSP 97
o
Ben Liblit,
Alex Aiken, Alice X. Zheng, Michael I. Jordan, Bug
Isolation via Remote Program Sampling, PLDI 03
o John Whaley, A Portable Sampling Based Profiler for Java Virtual Machines, Java Grande 00
o Matthew Arnold, Barbara G. Ryder, A Framework for Reducing the Cost of Instrumented Code, PLDI 01
o M. Hirzel and T. Chilimbi, Bursty Tracing: A Framework for Low-Overhead Temporal Profiling. FDDO 04
o Matthias Hauswirth and Trishul M. Chilimbi, Low-Overhead Memory Leak Detection Using Adaptive Statistical Profiling, ASPLOS 04
o Matthew Arnold, David Grove, Collecting and Exploiting High Accuracy Call Graph Profiles in Virtual Machines, CGO 05
o Alessandro Orso, Donglin Liang, Mary Jean Harrold, Richard Lipton, Gamma System: Continuous Evolution of Software after Deployment, STA02
o M. Burrows, U. Erlingson, S-T. A. Leung, M.
T. Vandevoorde, C. A. Waldspurger,
K. Walker, W. E. Weihl, Efficient and Flexible
Value Sampling, ASPLOS 00
o Marty Itzkowitz,
Brian J. N., Wylie Christopher, Nicolai Kosche, Memory Profiling using Hardware Counters, SC 03
o Jennifer M. Anderson, Lance M. Berc, Jeffrey
Dean, Sanjay Ghemawat, Monika R. Henzinger,
Shun-Tak A. Leung, Richard L. Sites, Mark T. Vandevoorde, Carl A. Waldspurger,
William E. Weihl, Continuous
profiling: where have all the cycles gone?, SOSP 97
o Matthew Merten, A Hardware-Driven Profiling Scheme for Identifying Program Hot Spots to support Runtime Optimization, ISCA 99
o Ann Gordon-Ross, Frank Vahid, Frequent
o Jeffrey Dean, James E. Hicks, Carl A. Waldspurger, William E. Weihl, George Chrysos, ProfileMe: Hardware Support for Instruction Level Profiling on Out of Order Processors, Micro 97
o Timothy Heil, James E. Smith, Relational Profiling: Enabling Thread-Level Parallelism in Virtual Machines, MICRO 00
o S. Subramanya Sastry, Rastislav Bodík, James E. Smith, Rapid Profiling via Stratified Sampling, ISCA 01
o Roman Lysecky, Susan Cotterell, Frank Vahid, A Fast On-Chip Profiler Memory, DAC 02
o Craig B. Zilles, Gurindar S. Sohi, A programmable Co-processor for Profiling, HPCA 01
o Omri Traub, Stuart Schechter, Michael D. Smith, Ephemeral Instrumentation for Lightweight Program Profiling, TR Harvard 00
o Bryan R. Buck, Jeffrey K. Hollingsworth, An API for Runtime Code Patching, HPCA 04
o Mikhail Dmitriev, Profiling Java Applications Using Code Hot swapping and Dynamic Call Graph Revelation, WOSP 04
o Qiang Wu, Artem Pyatakov, Alexey Spiridonov, Easwaran Raman, Douglas W. Clark, David I. August, Exposing Memory Access Regularities Using Object-Relative Memory Profiling, CGO 04
o Evelyn Duesterwald, Vasanth Bala, Software Profiling for Hot Path Prediction: Less is More, ASPLOS 00
o Bruno De Bus, Dominique Chanet, Bjorn De Sutter, Ludo Van Put, Koen De Bosschere, The design and implementation of FIT: a flexible instrumentation toolkit, PASTE 04
o Jeffrey K. Hollingsworth, Barton P. Miller, Marcelo Goncalves, Oscar Naim, Zhichen Xu, Ling Zheng, MDL: A Language and Compiler for Dynamic Program Instrumentation, PACT 97
o Priya Nagapurka and Chandra Krintz, Phase-Aware Remote Profiling, CGO 05
o Hussam Mousa and Chandra Krintz, Hybrid Profiling Support, PACT 05
o T. Kistler and M. Franz, Computing the Similarity of Profiling Data, Profiling & Feedback. Directed Opt. 98
o Geoff Langdale, Thomas Gross, Evaluating the Relationship Between the Usefulness and Accuracy of Profiles, WDDD 03
o David W. Wall, Predicting Program Behavior Using Real or Estimated Profiles, PLDI 91
o Marc L. Corliss, E Christopher Lewis and Amir Roth, DISE: A programmable Macro Engine for Customizing Applications, ISCA 03
o Timothy Sherwood, Erez Perelman, Greg Hamerly, Suleyman Sair, and Brad Calder, Discovering and Exploiting Program Phases, IEEE MICRO 03
o Michael D. Smith, Overcoming the Challenges to Feedback-Directed Optimization, FDDO 02