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  1. Proceedings of the 2017 ACM SIGPLAN International Symposium on Memory Management (ISMM 2017)
  2. A marshalled data format for pointers in relocatable data blocks
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Bridging the gap between memory performance and massive parallelism: the critical role of programming systems innovations (keynote)
NG2C: pretenuring garbage collection with dynamic generations for HotSpot big data applications
A marshalled data format for pointers in relocatable data blocks
Analyzing memory management methods on integrated CPU-GPU systems
"What's in a name?" going beyond allocation site names in heap analysis
Type-assisted automatic garbage collection for lock-free data structures
Flexible and efficient memory object metadata
Continuous checkpointing of HTM transactions in NVM
A refinement hierarchy for free list memory allocators
Shadow state encoding for efficient monitoring of block-level properties
RTHMS: a tool for data placement on hybrid memory system
Avoiding consistency exceptions under strong memory models

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A marshalled data format for pointers in relocatable data blocks

Content Provider ACM Digital Library
Author Yu, Lechen Sarkar, Vivek Vrvilo, Nick
Abstract As future computing hardware progresses towards extreme-scale technology, new challenges arise for addressing heterogeneous compute and memory resources, for providing application resilience in the presence of more frequent failures, and for working within strict energy constraints. While C++ has gained popularity in recent years within the HPC community, some concepts of object-oriented program design may be at odds with the techniques we use to address the challenges of extreme-scale computing. In this work, we focus on the challenges related to using aggregate data structures that include pointer values within a programming model where the runtime may frequently relocate data, and traditional serialization techniques are not practical. We propose and evaluate a marshalled encoding for relocatable data blocks, and present a C++ library and other tools to simplify the work of the application programmer developing new applications or porting existing applications to such emerging programming models. .
Starting Page 25
Ending Page 35
Page Count 11
File Format PDF
ISBN 9781450350440
DOI 10.1145/3092255.3092276
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-06-18
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Serialization Data block relocation Marshalling Open community runtime One-sided communication
Content Type Text
Resource Type Article
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