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Memory leak

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25: 1223:). If the cache can grow so large as to cause problems, this may be a programming or design error, but is not a memory leak as the information remains nominally in use. In other cases, programs may require an unreasonably large amount of memory because the programmer has assumed memory is always sufficient for a particular task; for example, a graphics file processor might start by reading the entire contents of an image file and storing it all into memory, something that is not viable where a very large image exceeds available memory. 1923: 1913: 1903: 1893: 1883: 1173: 949:, where an object is responsible for keeping track of how many references are pointing to it. If the number goes down to zero, the object is expected to release itself and allow its memory to be reclaimed. The flaw with this model is that it does not cope with cyclic references, and this is why nowadays most programmers are prepared to accept the burden of the more costly 1169:
limit, to prevent any one program from hogging all of the memory on the system. The disadvantage to this arrangement is that the operating system sometimes must be re-configured to allow proper operation of programs that legitimately require large amounts of memory, such as those dealing with graphics, video, or scientific calculations.
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operating systems have special mechanisms to deal with an out-of-memory condition, such as killing processes at random (which may affect "innocent" processes), or killing the largest process in memory (which presumably is the one causing the problem). Some operating systems have a per-process memory
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If a program has a memory leak and its memory usage is steadily increasing, there will not usually be an immediate symptom. Every physical system has a finite amount of memory, and if the memory leak is not contained (for example, by restarting the leaking program) it will eventually cause problems.
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The memory leak lasts until the system is reset. For example: if the elevator's power were turned off or in a power outage, the program would stop running. When power was turned on again, the program would restart and all the memory would be available again, but the slow process of memory leak would
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In general, automatic memory management is more robust and convenient for developers, as they do not need to implement freeing routines or worry about the sequence in which cleanup is performed or be concerned about whether or not an object is still referenced. It is easier for a programmer to know
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The consequences would be unpleasant; at the very least, the elevator would stop responding to requests to move to another floor (such as when an attempt is made to call the elevator or when someone is inside and presses the floor buttons). If other parts of the program need memory (a part assigned
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for C and C++ programs. "Conservative" garbage collection capabilities can be added to any programming language that lacks it as a built-in feature, and libraries for doing this are available for C and C++ programs. A conservative collector finds and reclaims most, but not all, unreachable memory.
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Cases like this would not usually have any immediate effects. People do not often press the button for the floor they are already on, and in any case, the elevator might have enough spare memory that this could happen hundreds or thousands of times. However, the elevator will eventually run out of
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When a button is pressed: Get some memory, which will be used to remember the floor number Put the floor number into the memory Are we already on the target floor? If so, we have nothing to do: finished Otherwise: Wait until the lift is idle Go to the required floor
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When a button is pressed: Get some memory, which will be used to remember the floor number Put the floor number into the memory Are we already on the target floor? If not: Wait until the lift is idle Go to the required floor Release the memory we used to remember the floor
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are transferred into main memory for fast access; inactive pages are pushed out to secondary storage to make room, as needed. When a single process starts consuming a large amount of memory, it usually occupies more and more of main memory, pushing other programs out to secondary storage â€“
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Memory leaks may not be serious or even detectable by normal means. In modern operating systems, normal memory used by an application is released when the application terminates. This means that a memory leak in a program that only runs for a short time may not be noticed and is rarely serious.
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by reducing the amount of available memory. A memory leak can cause an increase in memory usage, performance run-time and can negatively impact the user experience. Eventually, in the worst case, too much of the available memory may become allocated and all or part of the system or device stops
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can recover unreachable memory, it cannot free memory that is still reachable and therefore potentially still useful. Modern memory managers therefore provide techniques for programmers to semantically mark memory with varying levels of usefulness, which correspond to varying levels of
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When all the memory on a system is exhausted (whether there is virtual memory or only main memory, such as on an embedded system) any attempt to allocate more memory will fail. This usually causes the program attempting to allocate the memory to terminate itself, or to generate a
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when a reference is no longer needed than to know when an object is no longer referenced. However, automatic memory management can impose a performance overhead, and it does not eliminate all of the programming errors that cause memory leaks.
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A "sawtooth" pattern of memory utilization may be an indicator of a memory leak within an application, particularly if the vertical drops coincide with reboots or restarts of that application. Care should be taken though because
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element with an event handler, and failed to remove the reference before exiting, would leak memory (AJAX web pages keep a given DOM alive for a lot longer than traditional web pages, so this leak was much more apparent).
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usually significantly slowing performance of the system. Even if the leaking program is terminated, it may take some time for other programs to swap back into main memory, and for performance to return to normal.
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The memory leak would occur if the floor number requested is the same floor that the elevator is on; the condition for releasing the memory would be skipped. Each time this case occurs, more memory is leaked.
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uses a combination of RAII and garbage collection, employing automatic destruction when it is clear that an object cannot be accessed outside its original scope, and garbage collection otherwise.
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schemes are often based on a notion of reachability â€“ if you do not have a usable reference to the memory in question, it can be collected. Other garbage collection schemes can be based on
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to open and close the door, for example), then no one would be able to enter, and if someone happens to be inside, they will become trapped (assuming the doors cannot be opened manually).
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In practice, this trivial example would be spotted straight away and fixed. In most real examples, the cycle of references spans more than two objects, and is more difficult to detect.
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Rudafshani, Masoomeh, and Paul A. S. Ward. "LeakSpot: Detection and Diagnosis of Memory Leaks in JavaScript Applications." Software, practice & experience 47.1 (2017): 97–123. Web.
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Note that constantly increasing memory usage is not necessarily evidence of a memory leak. Some applications will store ever increasing amounts of information in memory (e.g. as a
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To put it another way, a memory leak arises from a particular kind of programming error, and without access to the program code, someone seeing symptoms can only guess that there
677:, prevents an object from being garbage collected.) To prevent this, the developer is responsible for cleaning up references after use, typically by setting the reference to 665:. The memory manager does not free an object that is strongly reachable. An object is strongly reachable if it is reachable either directly by a 1863: 1483: 1524: 923:
However, using RAII correctly is not always easy and has its own pitfalls. For instance, if one is not careful, it is possible to create
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Because they can exhaust available system memory as an application runs, memory leaks are often the cause of or a contributing factor to
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be a memory leak. It would be better to use terms such as "constantly increasing memory use" where no such inside knowledge exists.
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where new memory is allocated frequently for one-time tasks, such as when rendering the frames of a computer game or animated video
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where a program runs for a long time and consumes added memory over time, such as background tasks on servers, and especially in
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or portable device, or where the program requires a very large amount of memory to begin with, leaving little margin for leaks
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A related concept is the "space leak", which is when a program consumes excessive memory but does eventually release it.
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The "sawtooth" pattern of memory utilization: the sudden drop in used memory is a candidate symptom for a memory leak.
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The leak in the above example can be corrected by bringing the "release" operation outside of the conditional:
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The C++ version requires no explicit deallocation; it will always occur automatically as soon as the object
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if an attacker discovers a sequence of operations which can trigger a leak. Such a sequence is known as an
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schemes. And because object destructors can free resources other than memory, RAII helps to prevent the
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memory. This could take months or years, so it might not be discovered despite thorough testing.
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running on an operating system that does not automatically release memory on program termination.
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restart together with the program, eventually prejudicing the correct running of the system.
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goes out of scope, including if an exception is thrown. This avoids some of the overhead of
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The C version, as implemented in the example, requires explicit deallocation; the array is
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points could also cause such a pattern and would show a healthy usage of the heap.
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program deliberately leaks memory by losing the pointer to the allocated memory.
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working correctly, the application fails, or the system slows down vastly due to
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which is no longer needed is not released. A memory leak may also happen when an
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A well-known example of this kind of leak came to prominence with the rise of
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If the program continues to create such pointers without freeing them,
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Memory leaks are a common error in programming, especially when using
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is stored in memory but cannot be accessed by the running code (i.e.
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is a popular memory leak detection tool for applications running on
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once it is no longer needed and, if necessary, by deregistering any
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code illustrates the canonical reference-counting memory leak:
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leaking of input and output resources accessed through a handle
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for Visual Studio, Delphi, Fortran, Visual Basic, proprietary
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When a computer program fails to release unnecessary memory
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Release the memory we used to remember the floor number
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Memory management as a function of an operating system
503:where a leak occurs within the operating system or 1140:which is physically housed in RAM microchips, and 669:or indirectly by a chain of strong references. (A 1939: 1301:but the memory is still allocated by the system. 685:that maintain strong references to the object. 1518: 386: 1864:International Symposium on Memory Management 520: 496:where memory is very limited, such as in an 489:where a program can request memory, such as 1088:' And now you've got a memory leak! 1525: 1511: 1233: 596:has led to the development of a number of 584:. Typically, a memory leak occurs because 441:with access to the program's source code. 393: 379: 1491:Memory Leak Detection in Embedded Systems 1214: 69:Learn how and when to remove this message 1171: 1058:' Now they each have two references. 937:Reference counting and cyclic references 483:which may be left running for many years 32:This article includes a list of general 475:Much more serious leaks include those: 1940: 1073:' You could still get out of it... 704:Resource acquisition is initialization 699:Resource acquisition is initialization 1532: 1506: 1369: 563: 1417: 1378:from the original on 7 December 2012 1307:it will consume memory continuously. 1187:Publicly accessible systems such as 18: 1573:Input–output memory management unit 13: 1398:"Creating a memory leak with Java" 525:The following example, written in 344:Notable compilers & toolchains 38:it lacks sufficient corresponding 14: 1964: 1446: 1310:Therefore, a leak would occur. */ 1922: 1921: 1912: 1911: 1902: 1901: 1892: 1891: 1882: 1881: 592:. The prevalence of memory leak 572:that have no built in automatic 23: 1744:Concurrent mark sweep collector 454: 1869:Region-based memory management 1474:for Visual Studio, proprietary 1462:for Visual Studio, open source 1433: 1411: 1390: 1363: 673:is a reference that, unlike a 603:to detect unreachable memory. 1: 1486:(Using MFC Debugging Support) 1356: 1180:If the memory leak is in the 1132:Most modern consumer desktop 648:are some of the more popular 1917:Memory management algorithms 1729:Automatic Reference Counting 1567:Translation lookaside buffer 301:target-specific initializer) 7: 1907:Automatic memory management 1706:C dynamic memory allocation 1318: 461:performance of the computer 128:Intermediate representation 10: 1969: 1927:Memory management software 1774:Tracing garbage collection 1607:Virtual memory compression 1123: 1103:programming techniques in 696: 459:A memory leak reduces the 1877: 1851: 1825: 1792: 1719: 1691: 1648: 1615: 1582: 1553: 1540: 1197:denial-of-service attacks 521:An example of memory leak 1701:Static memory allocation 1693:Manual memory management 1244: 1115:code which associated a 962: 817: 720: 1759:Garbage-first collector 1734:Boehm garbage collector 1640:x86 memory segmentation 1484:Detecting a Memory Leak 1234:A simple example in C++ 1109:lapsed listener problem 692: 352:GNU Compiler Collection 277:Common Language Runtime 53:more precise citations. 1764:Mark–compact algorithm 1561:Memory management unit 1372:"JScript Memory Leaks" 1215:Other memory consumers 1177: 1013:"Some.Thing" 992:"Some.Thing" 207:Compilation strategies 1175: 920:or another database. 899:dynamically allocated 586:dynamically allocated 232:Compile and go system 1711:new and delete (C++) 1453:Visual Leak Detector 1370:Crockford, Douglas. 1344:Java Virtual Machine 615:, Memory Validator, 421:incorrectly manages 305:Java virtual machine 227:Tracing just-in-time 1617:Memory segmentation 618:IBM Rational Purify 417:that occurs when a 121:Optimizing compiler 1953:Software anomalies 1859:Automatic variable 1843:Unreachable memory 1769:Reference counting 1739:Cheney's algorithm 1721:Garbage collection 1458:2015-12-15 at the 1209:garbage collection 1178: 1159:segmentation fault 947:reference counting 943:garbage collection 910:garbage collection 588:memory has become 574:garbage collection 564:Programming issues 435:unreachable memory 423:memory allocations 1935: 1934: 1887:Memory management 1635:Virtual 8086 mode 1534:Memory management 1493:" by Cal Erickson 1330:Memory management 1142:secondary storage 1134:operating systems 953:type of systems. 925:dangling pointers 403: 402: 85:Program execution 79: 78: 71: 1960: 1925: 1924: 1915: 1914: 1905: 1904: 1895: 1894: 1885: 1884: 1812:Dangling pointer 1807:Buffer over-read 1779:Strong reference 1650:Memory allocator 1527: 1520: 1513: 1504: 1503: 1478:Memory Validator 1440: 1437: 1431: 1430: 1428: 1426: 1418:Mitchell, Neil. 1415: 1409: 1408: 1406: 1405: 1400:. Stack Overflow 1394: 1388: 1387: 1385: 1383: 1367: 1314: 1311: 1308: 1305: 1302: 1299: 1296: 1293: 1290: 1287: 1284: 1281: 1278: 1275: 1272: 1269: 1266: 1263: 1260: 1257: 1254: 1251: 1248: 1092: 1089: 1086: 1083: 1080: 1077: 1074: 1071: 1068: 1065: 1062: 1059: 1056: 1053: 1050: 1047: 1044: 1041: 1038: 1035: 1032: 1029: 1026: 1023: 1020: 1017: 1014: 1011: 1008: 1005: 1002: 999: 996: 993: 990: 987: 984: 981: 978: 975: 972: 969: 966: 918:Windows Registry 907: 893: 890: 887: 884: 881: 878: 875: 872: 869: 866: 863: 860: 857: 854: 851: 848: 845: 842: 839: 836: 833: 830: 827: 824: 821: 814: 811: 808: 805: 802: 799: 796: 793: 790: 787: 784: 781: 778: 775: 772: 769: 766: 763: 760: 757: 754: 751: 748: 745: 742: 739: 736: 733: 730: 729:<stdlib.h> 727: 724: 671:strong reference 667:strong reference 650:memory debuggers 481:embedded systems 419:computer program 407:computer science 395: 388: 381: 257:Notable runtimes 244:Transcompilation 91:General concepts 81: 80: 74: 67: 63: 60: 54: 49:this article by 40:inline citations 27: 26: 19: 1968: 1967: 1963: 1962: 1961: 1959: 1958: 1957: 1938: 1937: 1936: 1931: 1873: 1847: 1821: 1802:Buffer overflow 1788: 1715: 1687: 1644: 1611: 1578: 1549: 1536: 1531: 1460:Wayback Machine 1449: 1444: 1443: 1438: 1434: 1424: 1422: 1420:"Leaking Space" 1416: 1412: 1403: 1401: 1396: 1395: 1391: 1381: 1379: 1368: 1364: 1359: 1335:Memory debugger 1325:Buffer overflow 1321: 1316: 1315: 1312: 1309: 1306: 1303: 1300: 1297: 1294: 1291: 1288: 1285: 1282: 1279: 1276: 1273: 1270: 1267: 1264: 1261: 1258: 1255: 1252: 1249: 1246: 1236: 1217: 1126: 1094: 1093: 1090: 1087: 1084: 1081: 1078: 1075: 1072: 1069: 1066: 1063: 1060: 1057: 1054: 1051: 1048: 1045: 1042: 1039: 1036: 1033: 1030: 1027: 1024: 1021: 1018: 1015: 1012: 1009: 1006: 1003: 1000: 997: 994: 991: 988: 985: 982: 979: 976: 973: 970: 967: 964: 939: 905: 895: 894: 891: 888: 885: 882: 879: 876: 873: 870: 867: 864: 861: 858: 855: 852: 849: 846: 843: 840: 837: 834: 831: 828: 825: 822: 819: 816: 815: 812: 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528: 515: 513:causes a leak 512: 511:device driver 508: 506: 502: 499: 495: 492: 491:shared memory 488: 485: 482: 478: 477: 476: 473: 469: 467: 462: 452: 450: 445: 442: 440: 436: 432: 428: 424: 420: 416: 415:resource leak 413:is a type of 412: 408: 396: 391: 389: 384: 382: 377: 376: 374: 373: 368: 365: 363: 359: 356: 353: 350: 349: 348: 347: 343: 342: 336: 333: 331: 327: 324: 321: 317: 314: 312: 309: 306: 303: 300: 296: 293: 291: 287: 284: 282: 278: 275: 272: 269: 266: 263: 262: 261: 260: 256: 255: 250: 249:Recompilation 247: 245: 242: 240: 237: 233: 230: 228: 225: 224: 222: 219: 216: 215:Ahead-of-time 213: 212: 211: 210: 206: 205: 200: 197: 195: 192: 190: 187: 185: 182: 180: 177: 176: 175: 174: 171:Types of code 170: 169: 162: 159: 157: 154: 152: 149: 145: 142: 141: 140: 137: 136: 135: 132: 129: 126: 122: 119: 115: 112: 111: 110: 107: 106: 105: 102: 100: 97: 96: 95: 94: 90: 89: 86: 83: 82: 73: 70: 62: 52: 48: 42: 41: 35: 30: 21: 20: 1837: 1435: 1423:. 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Retrieved 1365: 1237: 1227: 1225: 1218: 1205: 1186: 1179: 1163: 1155: 1131: 1127: 1105:web browsers 1098: 1095: 1007:CreateObject 986:CreateObject 958:Visual Basic 955: 941:More modern 940: 929: 922: 903: 896: 880:do_some_work 789:do_some_work 702: 687: 670: 663:reachability 662: 655: 643: 637: 628: 622: 616: 610: 604: 567: 555: 551: 547: 543: 539: 524: 474: 470: 458: 455:Consequences 446: 443: 410: 404: 221:Just-in-time 194:Machine code 114:Compile time 65: 56: 37: 1838:Memory leak 1189:web servers 1138:main memory 590:unreachable 411:memory leak 335:Zend Engine 316:Objective-C 184:Object code 179:Source code 156:Interpreter 104:Translation 51:introducing 1942:Categories 1602:Page table 1497:WonderLeak 1404:2013-06-14 1357:References 1146:hard drive 1144:such as a 1136:have both 1113:JavaScript 639:Dr. Memory 576:, such as 527:pseudocode 439:programmer 151:Executable 34:references 1749:Finalizer 1630:Real mode 1489:Article " 598:debugging 570:languages 466:thrashing 360:and  328:and  318:and  288:and  199:Microcode 134:Execution 1683:ptmalloc 1678:mimalloc 1668:jemalloc 1658:dlmalloc 1554:Hardware 1472:Deleaker 1466:Valgrind 1456:Archived 1376:Archived 1319:See also 823:#include 726:#include 645:memwatch 633:Insure++ 630:Parasoft 624:Valgrind 612:Deleaker 531:elevator 273:(Erlang) 189:Bytecode 109:Compiler 1754:Garbage 1673:libumem 1575:(IOMMU) 1382:20 July 1292:nullptr 1201:exploit 1193:routers 1124:Effects 1107:in the 1085:Nothing 1070:Nothing 560:number 330:Node.js 286:CPython 144:Runtime 47:improve 1826:Issues 1425:27 May 1340:Plumbr 1182:kernel 1049:member 1031:member 856:vector 777:sizeof 765:calloc 714:, and 431:object 427:memory 311:LuaJIT 223:(JIT) 36:, but 1852:Other 1663:Hoard 1569:(TLB) 1563:(MMU) 1228:might 1221:cache 1164:Some 1150:pages 906:array 886:array 868:array 807:array 795:array 759:array 601:tools 362:Clang 354:(GCC) 337:(PHP) 320:Swift 307:(JVM) 267:(ART) 217:(AOT) 1427:2017 1384:2022 1350:nmon 1250:main 1101:AJAX 865:> 859:< 829:void 801:free 732:void 693:RAII 679:null 642:and 594:bugs 580:and 409:, a 367:MSVC 358:LLVM 295:crt0 290:PyPy 281:Mono 271:BEAM 130:(IR) 99:Code 1274:int 1271:new 1259:int 1247:int 1240:C++ 1191:or 1117:DOM 1091:End 1076:Set 1061:Set 1040:Set 1022:Set 998:Set 977:Set 965:Dim 862:int 850:std 838:int 786:)); 783:int 753:int 741:int 716:Ada 708:C++ 582:C++ 405:In 1944:: 1374:. 1283:); 1253:() 1203:. 1111:. 889:); 877:); 853::: 810:); 798:); 710:, 636:, 627:, 621:, 609:, 468:. 451:. 326:V8 322:'s 1526:e 1519:t 1512:v 1429:. 1407:. 1386:. 1346:. 1313:} 1295:; 1289:= 1286:a 1280:5 1277:( 1268:= 1265:a 1262:* 1256:{ 1082:= 1079:B 1067:= 1064:A 1055:A 1052:= 1046:. 1043:B 1037:B 1034:= 1028:. 1025:A 1016:) 1010:( 1004:= 1001:B 995:) 989:( 983:= 980:A 974:B 971:, 968:A 931:D 892:} 883:( 874:n 871:( 847:{ 844:) 841:n 835:( 832:f 813:} 804:( 792:( 780:( 774:, 771:n 768:( 762:= 756:* 750:{ 747:) 744:n 738:( 735:f 712:D 578:C 394:e 387:t 380:v 299:C 297:( 72:) 66:( 61:) 57:( 43:.

Index

references
inline citations
improve
introducing
Learn how and when to remove this message
Program execution
Code
Translation
Compiler
Compile time
Optimizing compiler
Intermediate representation
Execution
Runtime system
Runtime
Executable
Interpreter
Virtual machine
Source code
Object code
Bytecode
Machine code
Microcode
Ahead-of-time
Just-in-time
Tracing just-in-time
Compile and go system
Precompilation
Transcompilation
Recompilation

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