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  1. Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness (MSPC '13)
  2. A study of data structures with a deep heap shape
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APE: accelerator processor extensions to optimize data-compute co-location
A study of data structures with a deep heap shape
A low overhead method for recovering unused memory inside regions
Program-centric cost models for locality
Introducing kernel-level page reuse for high performance computing
Software-controlled transparent management of heterogeneous memory resources in virtualized systems
A new perspective on processing-in-memory architecture design
A coldness metric for cache optimization
All-window data liveness
Software-level scheduling to exploit non-uniformly shared data cache on GPGPU
Cache rationing for multicore
Analyzing locality of memory references in GPU architectures

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A study of data structures with a deep heap shape

Content Provider ACM Digital Library
Author Petrank, Erez Eran, Haggai
Abstract Computing environments become increasingly parallel, and it seems likely that we will see more cores on tomorrow's desktops and server platforms. In a highly parallel system, tracing garbage collectors may not scale well due to deep heap structures that hinder parallel tracing. Previous work has discovered vulnerabilities within standard Java benchmarks. In this work we examine these standard benchmarks and analyze them to expose the data structures that make current Java benchmarks create deep heap shapes. It turns out that the problem is manifested mostly with benchmarks that employ queues and linked-lists. We then propose a new construction of a lock-free queue data structure with extra references that enables better garbage collector parallelism at a low overhead.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450321037
DOI 10.1145/2492408.2492413
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-16
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Linked-lists Concurrent data structures Parallel garbage collection
Content Type Text
Resource Type Article
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