web/papers

   1 * JIT Compiler
   2
   3   <a
   4   href="http://cui.unige.ch/OSG/publications/OO-articles/TechnicalReports/98/efficient.pdf">
   5   Efficient Type Inclusion Tests: Jahn Vitek, R. Nigel Horspool, Andres
   6   Krall</a>
   7
   8   <a
   9   href="http://citeseer.nj.nec.com/rd/2822939%2C410249%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/20094/http%253AzSzzSzwww.math.tau.ac.ilzSz%257EguyzSzjava-optzSzssa.pdf/cytron91efficiently.pdf">
  10   Efficiently Computing Static Single Assignment Form and the Control
  11   Dependence Graph: Ron Cytron, Jeanne Ferrante</a>
  12
  13   <a
  14   href="http://citeseer.nj.nec.com/rd/71659407%2C494602%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/23816/http%253AzSzzSzwww.cs.rice.eduzSz%257EgrosulzSz612s01zSzspe98-ssa.pdf/briggs98practical.pdf">
  15   Practical Improvements to the Construction and Destruction of Static Single Assignment Form: Preston Briggs,
  16   Keith Cooper, Timothy Harvey, Taylor Simpson</a>
  17
  18   <a
  19   href="http://citeseer.nj.nec.com/rd/14269422%2C217684%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/9476/http%253AzSzzSzwww.cs.ucsb.eduzSzconferenceszSzjava98zSzpaperszSzcacao.pdf/krall98monitors.pdf">
  20   Monitors and Exceptions - How to implement Java efficiently: Andreas Krall,
  21   Mark Probst</a>
  22
  23   <a
  24   href="http://citeseer.nj.nec.com/rd/78588775%2C217642%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/9476/http%253AzSzzSzwww.complang.tuwien.ac.atzSzandizSzpact_98.pdf/krall98efficient.pdf">
  25   Efficient JavaVM Just-in-Time Compilation: Andreas Krall</a>
  26
  27   <a
  28   href="http://www.complang.tuwien.ac.at/andi/scicom_01.ps">Java for
  29   Large-Scale Scientific Computations: Andreas Krall, Phillip Thomsich</a>
  30
  31   <a
  32   href="http://citeseer.nj.nec.com/rd/62076894%2C117522%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/642/ftp%253AzSzzSzftp.cs.princeton.eduzSzpubzSzlcczSzcontribzSziburg.pdf/fraser92engineering.pdf">
  33   Engineering Simple, Efficient Code Generator Generator: Christopher
  34   W. Fraser, David R. Hanson, Todd A. Proebsting</a>
  35
  36   <a
  37   href="http://citeseer.nj.nec.com/rd/8408515%2C54698%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/815/http%253AzSzzSzcuiwww.unige.chzSzOSGzSzpeoplezSzjvitekzSzResourceszSzArchivezSzProebsting.pdf/proebsting92code.pdf">
  38   Code Generation Techniques: Todd Alan Proebsting</a>
  39
  40   <a
  41   href="http://citeseer.nj.nec.com/cache/papers/cs/2968/http:zSzzSzwww.cs.cmu.eduzSz~stichnotzSzpldi98.pdf/fast-effective-code-generation.pdf">Fast,
  42   Effective Code Generation in a Just-In-Time Java Compiler: Ali-Reza
  43   Adl-Tabatabai Guei-Yuan Lueh, Vishesh M. Parikh, James M. Stichnoth...</a>
  44
  45   <a
  46   href="http://citeseer.nj.nec.com/rd/50003313%2C437274%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/21332/http%253AzSzzSzwww.research.ibm.comzSzjalapenozSzpaperszSzABCD.pdf/bodik00abcd.pdf">
  47   ABCD: Eliminating Array-Bounds Checks on Demand: Rastislav Bodik, Rajiv Gupta, Vivek Sarkar</a>
  48
  49 * Register Allocation
  50
  51   <a
  52   href="http://citeseer.nj.nec.com/rd/28309937%2C283402%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/12458/http%253AzSzzSzwww.pdos.lcs.mit.eduzSzpaperszSztoplas-linearscan.pdf/poletto99linear.pdf">
  53   Linear Scan Register Allocation: Massimiliano Poletto, Vivek Sarkar</a>
  54
  55   <a
  56   href="http://citeseer.nj.nec.com/rd/19916683%2C91122%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/468/http%253AzSzzSzwww.eecs.harvard.eduzSzhubezSzpaperszSzpldi98-binpack.pdf/traub98quality.pdf">
  57   Quality and Speed in Linear-scan Register Allocation: Omri Traub, Glenn
  58   Holloway, Michael D. Smith</a>
  59
  60 * Loop Transformations
  61
  62   <a
  63   href="http://citeseer.nj.nec.com/rd/71659407%2C98038%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/3700/http%253AzSzzSzdocs.dcs.napier.ac.ukzSzDOCSzSzGETzSzbacon90azSzdocument.pdf/bacon93compiler.pdf">
  64   Compiler Transformations for High-Performance Computing: David Bacon</a>
  65
  66 * Interpreter
  67
  68   <a
  69   href="http://citeseer.nj.nec.com/rd/62076894%2C470069%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/24640/http%253AzSzzSzwww.complang.tuwien.ac.atzSzpaperszSzertlzPz01.pdf/ertl01vmgen.pdf">
  70   vmgen-A Generator of Efficient Virtual Machine Interpreters: M. Anton
  71   Ertl, David Gregg, Andreas Krall, Bernd Paysan</a>
  72
  73 * Garbage Collection
  74
  75   <a
  76   href="http://citeseer.nj.nec.com/rd/71659407%2C89086%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/5548/http%253AzSzzSzwww.mbhl.comzSz%257EdhudekzSz.zSzdocszSzgcSurvey.pdf/wilson92uniprocessor.pdf">
  77   Uniprocessor Garbage Collection Techniques: Paul Wilson</a>
  78
  79   <a
  80   href="http://citeseer.nj.nec.com/rd/71659407%2C41666%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/564/ftp%253AzSzzSzftp.cs.umass.eduzSzpubzSzoslzSzpaperszSztr9147.pdf/a-language-independent-garbage.pdf">
  81   A Language-Independent Garbage Collector Toolkit: Richard Hudson, Eliot Moss, Amer Diwan, Christopher Weight</a>
  82
  83   <a
  84   href="http://citeseer.nj.nec.com/rd/71659407%2C48431%2C1%2C0.25%2CDownload/http%253A%252F%252Fciteseer.nj.nec.com/cache/papers/cs/3175/ftp%253AzSzzSzibis.cs.umass.eduzSzpubzSzpaperszSziwmm92.pdf/hudson92incremental.pdf">
  85   Incremental Collection of Mature Objects: Richard Hudson, Eliot Moss</a>
  86