Reducing the overhead of dynamic compilation

Software - Practice and Experience

Volumn 31, Issue 8, 2001, Pages 717-738

  Krintz, Chandra J ^a   Grove, David ^a   Sarkar, Vivek ^a   Calder, Brad ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Compilation overhead; Eager compilation; Jalape o; Java; Lazy compilation; Virtual machine

Indexed keywords

COMPUTER SIMULATION; JAVA PROGRAMMING LANGUAGE; MULTIPROCESSING SYSTEMS; OBJECT ORIENTED PROGRAMMING; RESPONSE TIME (COMPUTER SYSTEMS);

COMPILATION OVERHEAD; DYNAMIC COMPILATION; EXECUTION TIME; VIRTUAL MACHINE;

PROGRAM COMPILERS;

EID: 0035838387     PISSN: 00380644     EISSN: None     Source Type: Journal    
DOI: 10.1002/spe.384     Document Type: Article

References (29)

1. The Java Hotspot performance engine architecture
2. Does just in time = better late than never?
3. The symantec just-in-time compiler
4. Self: The power of simplicity
5. The Jalapeño virtual machine
6. Transparent dynamic optimization: The design and implementation of Dynamo
7. Dyc: An expressive annotation-directed dynamic compiler for C.
8. Kaffe-an open source Java virtual machine
9. Cacao-a 64 bit Java VM just-in-time compiler
10. Optimizing ML with run-time code generation
11. Overview of the IBM Java just-in-time compiler
12. Optimizing Java bytecodes
13. The Jalapeño dynamically optimizing compiler for Java
14. Implementing Jalapeño in Java
15. Quasi-static compilation in Java
16. Spec jvm98 benchmarks
17. Latte: A fast and efficient Java VM just-in-time compiler
18. Dynamic linking on a shared-memory multiprocessor
19. The Multics operating system-an overview of Multics as it is being developed
20. Virtual memory, processes, and sharing in MULTICS
21. Using annotations to reduce dynamic optimization time
22. A third-generation SELF implementation: Reconciling responsiveness with performance
23. An empirical study of selective optimization
24. Reducing transfer delay using Java class file splitting and prefetching
25. Adaptive optimization in the Jalaepeño JVM
26. Practicing JUDO: Java under dynamic optimizations