JIT 컴파일

수학노트
Pythagoras0 (토론 | 기여)님의 2021년 2월 17일 (수) 01:00 판
(차이) ← 이전 판 | 최신판 (차이) | 다음 판 → (차이)
둘러보기로 가기 검색하러 가기

노트

위키데이터

말뭉치

  1. Just-in-time compilation is a method for improving the performance of interpreted programs.[1]
  2. JIT compilation attempts to use the benefits of both.[1]
  3. While the interpreted program is being run, the JIT compiler determines the most frequently used code and compiles it to machine code.[1]
  4. Just In Time Compilation, JIT, or Dynamic Translation, is compilation that is being done during the execution of a program.[1]
  5. For that reason, most JIT compilers analyze the code as it’s running to identify what parts would give the best bang for the buck and then compile just those bits.[2]
  6. Java was the first widespread language to include a JIT in its virtual machine.[2]
  7. The PHP JIT is built as an extension to the opcode cache.[2]
  8. The JIT extension is disabled by default.[2]
  9. JRockit does not include an interpreter; so the JIT compilation of the byte code into native machine code has to occur before a method executes.[3]
  10. The JIT compilation is performed the first time a Java method is called.[3]
  11. The JIT compiler is fast and generates moderately efficient code.[3]
  12. JIT compilation can be applied to some programs, or can be used for certain capacities, particularly dynamic capacities such as regular expressions.[4]
  13. Several modern runtime environments rely on JIT compilation for high-speed code execution, including most implementations of Java, together with Microsoft's .NET Framework.[4]
  14. Similarly, many regular-expression libraries feature JIT compilation of regular expressions, either to bytecode or to machine code.[4]
  15. JIT compilers translate continuously, as with interpreters, but caching of compiled code minimizes lag on future execution of the same code during a given run.[4]
  16. A just-in-time (JIT) compiler is a program that turns bytecode into instructions that can be sent directly to a computer's processor (CPU).[5]
  17. As opposed to other compiler types, the main defining characteristic of a JIT compiler is that a JIT compiler runs after a program starts and compiles code.[5]
  18. A common way to say this is that a JIT compiler compiles code on the fly, or in other words, just in time.[5]
  19. JIT compilers contrast different compiler types such as a traditional compiler, which will compile all code to a machine language before a program starts to run.[5]
  20. In this article, I will try to explain JIT and its main use cases without associating with a specific language.[6]
  21. The typical compilation process (non-JIT or Ahead-of-Time compilation) translates a high-level programming language to machine code at compile time.[6]
  22. With JIT optimization enabled, the runtime would first use the initially compiled version (2 seconds) and run it on the first 10 inputs with profiling which takes 1 * 10 = 10 seconds.[6]
  23. Then it will look at profiling data and decide to optimize the “hot code” aggressively using JIT which takes 5 seconds and reduces the processing time for one input to 0.1 seconds.[6]
  24. You can view the motivation of JIT as follows: imagine a skilled software engineer sits between a database user and a database.[7]
  25. To see why JIT is so critical, let’s look at a simple group-by query.[7]
  26. Using JIT, we can dynamically generate code to support a specific grouping column combination.[7]
  27. In a database, JIT works as follows: given an input query, a plan is first generated for answering that query.[7]
  28. JavaScript started out slow, but then got faster thanks to something called the JIT.[8]
  29. When a function starts getting warm, the JIT will send it off to be compiled.[8]
  30. The way the JIT handles this is by compiling multiple baseline stubs.[8]
  31. Because each line of code has its own set of stubs in the baseline compiler, the JIT needs to keep checking the types each time the line of code is executed.[8]
  32. Android runtime (ART) includes a just-in-time (JIT) compiler with code profiling that continually improves the performance of Android applications as they run.[9]
  33. The JIT compiler complements ART's current ahead-of-time (AOT) compiler and improves runtime performance, saves storage space, and speeds application and system updates.[9]
  34. Although JIT and AOT use the same compiler with a similar set of optimizations, the generated code might not be identical.[9]
  35. If the .oat file does not contain compiled code, ART runs through JIT and the interpreter to execute the .dex file.[9]
  36. he Just-In-Time (JIT) compiler is a component of the Java Runtime Environment that improves the performance of Java applications at run time.[10]
  37. To improve performance, JIT compilers interact with the JVM at run time and compile appropriate bytecode sequences into native machine code.[10]
  38. The JIT compiler performs certain optimizations when compiling the bytecode to native code.[10]
  39. Since the JIT compiler translates a series of bytecode into native instructions, it can perform some simple optimizations.[10]
  40. On a more serious note, this is where the JIT compiler comes into play.[11]
  41. The great thing about a JIT compiler, is that once the code starts running, it is able to optimize it.[11]
  42. So, every browser and runtime in general probably implements their own version of a JIT compiler, but the theory and the structure are usually the same across the board.[11]
  43. Easy::jit is a library that brings just-in-time compilation to C++ codes.[12]
  44. It allows developers to jit-compile some functions and specializing (part of) their parameters.[12]
  45. Just-in-time compilation is done on-demand and controlled by the developer.[12]
  46. Easy::jit is a library that brings just-in-time compilation to C++ codes to achieve that goal.[12]
  47. The Just-In-Time (JIT) compiler is a an essential part of the JRE i.e. Java Runtime Environment, that is responsible for performance optimization of java based applications at run time.[13]
  48. In order to improve performance, JIT compilers interact with the Java Virtual Machine (JVM) at run time and compile suitable bytecode sequences into native machine code.[13]
  49. The JIT compiler is able to perform certain simple optimizations while compiling a series of bytecode to native machine language.[13]
  50. The greater is the degree of optimization done, the more time a JIT compiler spends in the execution stage.[13]
  51. Just-In-Time compilation is essentially a compiler that procrastinates, and only compiles the code for each function whenever it is needed.[14]
  52. Whenever you call a function, if the JIT compiler hasn’t seen it yet, it will compile that function (applying any optimizations for the machine it’s running on), and run it.[14]
  53. JIT is literally just a performance improvement over regular interpreters, so compared to not doing it at all, it’s much faster.[14]
  54. However, because JIT compilation usually only has to be ran the first time a function is invoked, commonly used functions will only really see a performance hit on the first invocation.[14]
  55. All temporary files will be cleaned up and if JIT compilation succeeded the compiled library will be cached in a directory named .jitcache in the local directory.[15]
  56. Just-in-Time ( JIT ) compilation is the process of turning some form of interpreted program evaluation into a native program, and doing so at run time.[16]
  57. Currently PostgreSQL's JIT implementation has support for accelerating expression evaluation and tuple deforming.[16]
  58. To reduce that overhead, JIT compilation can inline the bodies of small functions into the expressions using them.[16]
  59. The JIT compiler runs automatically, triggered by counters associated with each function.[17]
  60. Once a function’s counter passes a certain value, the function gets JIT-compiled.[17]
  61. Guile’s JIT compiler is what is known as a template JIT.[17]
  62. The strength of a template JIT is principally that it is very fast at emitting code.[17]
  63. This process is called Just-In-Time JIT compilation because it does not occur until the assembly is on the target machine.[18]
  64. (JIT) compiler to native code, which is CPU-specific code that run on some computer architecture as the JIT compiler.[18]
  65. Econo-JIT COMPILER Econo-JIT compiles only those methods that are called at runtime.[18]
  66. Econo-JIT compiles only those methods that are called at runtime.[18]
  67. Clearly, this kind of JIT compilation capability might not be something that all C++ implementation can provide.[19]
  68. As the JIT-compilation process operates on semantically-processed inputs, and so there is no preprocessor state relevant to the JIT-compilation process.[19]
  69. It is important that the JIT-compilation facility provide robust error handling capabilities.[19]
  70. In this light, although observable within the abstract machine, a production-quality implementation might choose to segregate the JIT-compilation engine into a separate process.[19]
  71. Each target platform has a JIT compiler deployed and as long as the IL can be interpreted the program can execute.[20]
  72. The JIT Compiler processes the CIL instructions into machine code specific for an environment.[20]
  73. The JIT compiler compiles only those methods called at runtime.[20]
  74. The Econo JIT Compiler is displayed in figure 3.[20]
  75. Software systems have been using "just-in-time" compilation (JIT) techniques since the 1960s.[21]
  76. Broadly, JIT compilation includes any translation performed dynamically, after a program has started execution.[21]
  77. We examine the motivation behind JIT compilation and constraints imposed on JIT compilation systems, and present a classification scheme for such systems.[21]
  78. This classification emerges as we survey forty years of JIT work, from 1960--2000.[21]
  79. When it works, the JIT numba can speed up Python code tremendously with minimal effort.[22]

소스

  1. ↑ 1.0 1.1 1.2 1.3 Just in Time Compilation Explained
  2. ↑ 2.0 2.1 2.2 2.3 PHP 8.0 feature focus: Just-in-Time compilation
  3. ↑ 3.0 3.1 3.2 Understanding Just-In-Time Compilation and Optimization
  4. ↑ 4.0 4.1 4.2 4.3 Just-in-time compilation
  5. ↑ 5.0 5.1 5.2 5.3 What is a Just-In-Time (JIT) Compiler and How Does it Work?
  6. ↑ 6.0 6.1 6.2 6.3 What is Just-In-Time Compilation? Why is it important?
  7. ↑ 7.0 7.1 7.2 7.3 Why You Need Just In Time (JIT) Code Compilation
  8. ↑ 8.0 8.1 8.2 8.3 A crash course in just-in-time (JIT) compilers
  9. ↑ 9.0 9.1 9.2 9.3 Implementing ART Just-In-Time (JIT) Compiler
  10. ↑ 10.0 10.1 10.2 10.3 Understanding JIT compiler (just-in-time compiler)
  11. ↑ 11.0 11.1 11.2 The JIT in JavaScript: Just In Time Compiler
  12. ↑ 12.0 12.1 12.2 12.3 Easy::jit: Just-In-Time compilation for C++
  13. ↑ 13.0 13.1 13.2 13.3 Just In Time Compiler
  14. ↑ 14.0 14.1 14.2 14.3 What Is Just-In-Time (JIT) Compilation?
  15. ↑ JITCompilation.md
  16. ↑ 16.0 16.1 16.2 PostgreSQL: Documentation: 12: 31.1. What Is JIT compilation?
  17. ↑ 17.0 17.1 17.2 17.3 Just-In-Time Native Code (Guile Reference Manual)
  18. ↑ 18.0 18.1 18.2 18.3 JIT (Just-In-Time) Compiler
  19. ↑ 19.0 19.1 19.2 19.3 P1609R3 C++ Should Support Just-in-Time Compilation
  20. ↑ 20.0 20.1 20.2 20.3 Understanding .NET Just-In-Time Compilation
  21. ↑ 21.0 21.1 21.2 21.3 A brief history of just-in-time
  22. ↑ Just-in-time compilation (JIT) — Computational Statistics in Python

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'just'}, {'OP': '*'}, {'LOWER': 'in'}, {'OP': '*'}, {'LOWER': 'time'}, {'LEMMA': 'compilation'}]
  • [{'LOWER': 'dynamic'}, {'LEMMA': 'translation'}]
  • [{'LEMMA': 'JIT'}]
  • [{'LOWER': 'jit'}, {'LEMMA': 'compilation'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=JIT_컴파일&oldid=51192"