NDLI: Automated just-in-time compiler tuning

Please wait, while we are loading the content...

PinPlay: a framework for deterministic replay and reproducible analysis of parallel programs

Taming hardware event samples for FDO compilation

A self-adjusting code cache manager to balance start-up time and memory usage

Decoupled software pipelining creates parallelization opportunities

Coloring-based coalescing for graph coloring register allocation

Automatic creation of tile size selection models

Towards program optimization through automated analysis of numerical precision

Contention aware execution: online contention detection and response

Performance is dead, long live performance!

TAO: two-level atomicity for dynamic binary optimizations

Lightweight feedback-directed cross-module optimization

On improving heap memory layout by dynamic pool allocation

Prospect: a compiler framework for speculative parallelization

Linear scan register allocation on SSA form

Parameterized tiling revisited

Statistically regulating program behavior via mainstream computing

An adaptive task creation strategy for work-stealing scheduling

There are at least two sides to every heterogeneous system

Umbra: efficient and scalable memory shadowing

Automated just-in-time compiler tuning

An efficient software transactional memory using commit-time invalidation

Speculative parallelization of partial reduction variables

Integrated instruction selection and register allocation for compact code generation exploiting freeform mixing of 16- and 32-bit instructions

Minimizing communication in rate-optimal software pipelining for stream programs

Exploiting statistical correlations for proactive prediction of program behaviors

Dynamic interpretation for dynamic scripting languages

Large program trace analysis and compression with ZDDs

Hybrid Java compilation and optimization for digital TV software platform

Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs

Automatic parallelization of simulink applications

Level by level: making flow- and context-sensitive pointer analysis scalable for millions of lines of code

Automated just-in-time compiler tuning

Content Provider	ACM Digital Library
Author	Georges, Andy Eeckhout, Lieven Hoste, Kenneth
Abstract	Managed runtime systems, such as a Java virtual machine (JVM), are complex pieces of software with many interacting components. The Just-In-Time (JIT) compiler is at the core of the virtual machine, however, tuning the compiler for optimum performance is a challenging task. There are (i) many compiler optimizations and options, (ii) there may be multiple optimization levels (e.g., -O0, -O1, -O2), each with a specific optimization plan consisting of a collection of optimizations, (iii) the Adaptive Optimization System (AOS) that decides which method to optimize to which optimization level requires fine-tuning, and (iv) the effectiveness of the optimizations depends on the application as well as on the hardware platform. Current practice is to manually tune the JIT compiler which is both tedious and very time-consuming, and in addition may lead to suboptimal performance. This paper proposes automated tuning of the JIT compiler through multi-objective evolutionary search. The proposed framework (i) identifies optimization plans that are Pareto-optimal in terms of compilation time and code quality, (ii) assigns these plans to optimization levels, and (iii) fine-tunes the AOS accordingly. The key benefit of our framework is that it automates the entire exploration process, which enables tuning the JIT compiler for a given hardware platform and/or application at very low cost. By automatically tuning Jikes RVM using our framework for average performance across the DaCapo and SPECjvm98 benchmark suites, we achieve similar performance to the hand-tuned default Jikes RVM. When optimizing the JIT compiler for individual benchmarks, we achieve statistically significant speedups for most benchmarks, up to 40% for startup and up to 19% for steady-state performance. We also show that tuning the JIT compiler for a new hardware platform can yield significantly better performance compared to using a JIT compiler that was tuned for another platform.
Starting Page	62
Ending Page	72
Page Count	11
File Format	PDF
ISBN	9781605586359
DOI	10.1145/1772954.1772965
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-04-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Compiler tuning Evolutionary search Java virtual machine (jvm) Just-in-time (jit) compiler Machine learning
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automated just-in-time compiler tuning (2010)

A retargetable jit compiler for java (1999).

Abstract how can hardware support just-in-time compilation?.

Design a High-Performance Just-In-Time Compiler for a J2ME JVM on XScale

Implementing an efficient java interpreter (0).

Jalapeño - a compiler-supported java virtual machine for servers (1999).

Supporting just-in-time compilation in a portable manner (2003).

Recompilation for debugging support in a JIT-compiler

Design and implementation of a comprehensive real-time java virtual machine

Automated just-in-time compiler tuning

Similar Documents

Automated just-in-time compiler tuning (2010)

A retargetable jit compiler for java (1999).

Abstract how can hardware support just-in-time compilation?.

Design a High-Performance Just-In-Time Compiler for a J2ME JVM on XScale

Implementing an efficient java interpreter (0).

Jalapeño - a compiler-supported java virtual machine for servers (1999).

Supporting just-in-time compilation in a portable manner (2003).

Recompilation for debugging support in a JIT-compiler

Design and implementation of a comprehensive real-time java virtual machine

Automated just-in-time compiler tuning