NDLI: Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications

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GPU Computing: Programming a Massively Parallel Processor

Parallel Programming Environment: A Key to Translating Tera-Scale Platforms into a Big Success

Understanding Tradeoffs in Software Transactional Memory

Code Generation and Optimization for Transactional Memory Constructs in an Unmanaged Language

Run-Time Support for Optimizations Based on Escape Analysis

Evaluating Indirect Branch Handling Mechanisms in Software Dynamic Translation Systems

Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications

Virtual Cluster Scheduling Through the Scheduling Graph

On the Complexity of Register Coalescing

A Dimension Abstraction Approach to Vectorization in Matlab

Microarchitecture Sensitive Empirical Models for Compiler Optimizations

Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time

Evaluating Heuristic Optimization Phase Order Search Algorithms

Loop Optimization using Hierarchical Compilation and Kernel Decomposition

Rapidly Selecting Good Compiler Optimizations using Performance Counters

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SuperPin: Parallelizing Dynamic Instrumentation for Real-Time Performance

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Structure Layout Optimization for Multithreaded Programs

Code Compaction of an Operating System Kernel

Ubiquitous memory introspection

Pipelined Execution of Critical Sections Using Software-Controlled Caching in Network Processors

Isla Vista Heap Sizing: Using Feedback to Avoid Paging

Exploiting Narrow Accelerators with Data-Centric Subgraph Mapping

Heterogeneous Clustered VLIW Microarchitectures

Profile-assisted Compiler Support for Dynamic Predication in Diverge-Merge Processors

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Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications

Content Provider	ACM Digital Library
Author	Reddi, Vijay Janapa Connors, Dan Smith, Michael D. Cohn, Robert
Abstract	Run-time compilation systems are challenged with the task of translating a program's instruction stream while maintaining low overhead. While software managed code caches are utilized to amortize translation costs, they are ineffective for programs with short run times or large amounts of cold code. Such program characteristics are prevalent in real-life computing environments, ranging from Graphical User Interface (GUI) programs to large-scale applications such as database management systems. Persistent code caching addresses these issues. It is described and evaluated in an industry-strength dynamic binary instrumentation system - Pin. The proposed approach improves the intra-execution model of code reuse by storing and reusing translations across executions, thereby achieving inter-execution persistence. Dynamically linked programs leverage inter-application persistence by using persistent translations of library code generated by other programs. New translations discovered across executions are automatically accumulated into the persistent code caches, thereby improving performance over time. Inter-execution persistence improves the performance of GUI applications by nearly 90%, while inter-application persistence achieves a 59% improvement. In more specialized uses, the SPEC2K INT benchmark suite experiences a 26% improvement under dynamic binary instrumentation. Finally, a 400% speedup is achieved in translating the Oracle database in a regression testing environment.
Starting Page	74
Ending Page	88
Page Count	15
File Format	PDF
ISBN	0769527647
DOI	10.1109/CGO.2007.29
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-03-11
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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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
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