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  1. Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications (OOPSLA '11)
  2. Delegated isolation
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The sequential prison
SHERIFF: precise detection and automatic mitigation of false sharing
Data-driven synthesis for object-oriented frameworks
Integrated language definition testing: enabling test-driven language development
HAWKEYE: effective discovery of dataflow impediments to parallelization
Asynchronous assertions
Trustworthy numerical computation in Scala
Hybrid partial evaluation
A step towards transparent integration of input-consciousness into dynamic program optimizations
Kismet: parallel speedup estimates for serial programs
Product lines of theorems
Benefits and barriers of user evaluation in software engineering research
Declaratively programming the mobile web with Mobl
JIT compilation policy for modern machines
A simple abstraction for complex concurrent indexes
Virtual values for language extension
Type checking modular multiple dispatch with parametric polymorphism and multiple inheritance
Null dereference verification via over-approximated weakest pre-conditions analysis
Accentuating the positive: atomicity inference and enforcement using correct executions
Synthesis of first-order dynamic programming algorithms
Catch me if you can: performance bug detection in the wild
Automatic fine-grain locking using shape properties
Ribbons: a partially shared memory programming model
JET: exception checking in the Java native interface
SugarJ: library-based syntactic language extensibility
Enhancing locality for recursive traversals of recursive structures
Efficiently speeding up sequential computation through the n-way programming model
Gradual typing for generics
Da capo con scala: design and analysis of a scala benchmark suite for the java virtual machine
First-class state change in plaid
Reducing trace selection footprint for large-scale Java applications without performance loss
Composable, nestable, pessimistic atomic statements
Backstage Java: making a difference in metaprogramming
A syntactic type system for recursive modules
F4F: taint analysis of framework-based web applications
SOS: saving time in dynamic race detection with stationary analysis
Kind analysis for MATLAB
PREFAIL: a programmable tool for multiple-failure injection
Safe parallel programming using dynamic dependence hints
Why nothing matters: the impact of zeroing
Immutable specifications for more concise and precise verification
Reactive imperative programming with dataflow constraints
Flow-sensitive type recovery in linear-log time
Exploiting coarse-grain speculative parallelism
A theory of substructural types and control
Automated construction of JavaScript benchmarks
Cedalion: a language for language oriented programming
Variability-aware parsing in the presence of lexical macros and conditional compilation
Delegated isolation
Flexible object layouts: enabling lightweight language extensions by intercepting slot access
Freedom before commitment: a lightweight type system for object initialisation
RoleCast: finding missing security checks when you do not know what checks are
Testing atomicity of composed concurrent operations
Tool-supported refactoring for JavaScript
Synthesizing method sequences for high-coverage testing
Sprint: speculative prefetching of remote data
Two for the price of one: a model for parallel and incremental computation
Oracle scheduling: controlling granularity in implicitly parallel languages
Scalable join patterns
Self-adjusting stack machines
Safe and atomic run-time code evolution for Java and its application to dynamic AOP
AC: composable asynchronous IO for native languages

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Delegated isolation

Content Provider ACM Digital Library
Author Chaudhuri, Swarat Lublinerman, Roberto Zhao, Jisheng Sarkar, Vivek Budimlić, Zoran
Abstract Isolation---the property that a task can access shared data without interference from other tasks---is one of the most basic concerns in parallel programming. In this paper, we present Aida, a new model of isolated execution for parallel programs that perform frequent, irregular accesses to pointer-based shared data structures. The three primary benefits of Aida are dynamism, safety and liveness guarantees, and programmability. First, Aida allows tasks to dynamically select and modify, in an isolated manner, arbitrary fine-grained regions in shared data structures, all the while maintaining a high level of concurrency. Consequently, the model can achieve scalable parallelization of regular as well as irregular shared-memory applications. Second, the model offers freedom from data races, deadlocks, and livelocks. Third, no extra burden is imposed on programmers, who access the model via a simple, declarative isolation construct that is similar to that for transactional memory. The key new insight in Aida is a notion of delegation among concurrent isolated tasks (known in Aida as assemblies). Each assembly A is equipped with a region in the shared heap that it owns---the only objects accessed by A are those it owns, guaranteeing race-freedom. The region owned by A can grow or shrink flexibly---however, when A needs to own a datum owned by B, A delegates itself, as well as its owned region, to B. From now on, B has the responsibility of re-executing the task A set out to complete. Delegation as above is the only inter-assembly communication primitive in Aida. In addition to reducing contention in a local, data-driven manner, it guarantees freedom from deadlocks and livelocks. We offer an implementation of Aida on top of the Habanero Java parallel programming language. The implementation employs several novel ideas, including the use of a union-find data structure to represent tasks and the regions that they own. A thorough evaluation using several irregular data-parallel benchmarks demonstrates the low overhead and excellent scalability of Aida, as well as its benefits over existing approaches to declarative isolation. Our results show that Aida performs on par with the state-of-the-art customized implementations of irregular applications and much better than coarse-grained locking and transactional memory approaches.
Starting Page 885
Ending Page 902
Page Count 18
File Format PDF
ISBN 9781450309400
DOI 10.1145/2048066.2048133
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Programming abstractions Contention Isolation Irregular parallelism
Content Type Text
Resource Type Article
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