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  1. Proceedings of the 2016 ACM SIGPLAN International Symposium on Memory Management (ISMM 2016)
  2. A bounded memory allocator for software-defined global address spaces
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Block-free concurrent GC: stack scanning and copying
Understanding and improving JVM GC work stealing at the data center scale
Rust as a language for high performance GC implementation
Characterizing emerging heterogeneous memory
Persistence programming models for non-volatile memory
Prescient memory: exposing weak memory model behavior by looking into the future
Hardware support for protective and collaborative cache sharing
CBufs: efficient, system-wide memory management and sharing
Rethinking a heap hierarchy as a cache hierarchy: a higher-order theory of memory demand (HOTM)
Fast non-intrusive memory reclamation for highly-concurrent data structures
A bounded memory allocator for software-defined global address spaces
Liveness-based garbage collection for lazy languages

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A bounded memory allocator for software-defined global address spaces

Content Provider ACM Digital Library
Author Gindraud, François Rastello, Fabrice Broquedis, François Cohen, Albert
Abstract This paper presents a memory allocator targeting manycore architec- tures with distributed memory. Among the family of Multi Processor System on Chip (MPSoC), these devices are composed of multiple nodes linked by an on-chip network; most nodes have multiple processors sharing a small local memory. While MPSoC typically excel on their performance-per-Watt ratio, they remain hard to program due to multilevel parallelism, explicit resource and memory management, and hardware constraints (limited memory, network topology). Typical programming frameworks for MPSoC leave much target-specific work to the programmer: combining threads or node-local OpenMP, software caching, explicit message passing (and sometimes, routing), with non-standard interfaces. More abstract, automatic frameworks exist, but they target large-scale clusters and do not model the hardware constraints of MPSoC. The memory allocator described in this paper is one component of a larger runtime system, called Givy, to support dynamic task graphs with automatic software caching and data-driven execution on MPSoC. To simplify the programmer’s view of memory, both runtime and program data objects live in a Global Address Space (GAS). To avoid address collisions when objects are dynamically allocated, and to manage virtual memory mappings across nodes, a GAS-aware memory allocator is required. This paper proposes such an allocator with the following properties: (1) it is free of inter-node synchronizations; (2) its node-local performance match that of state-of-the-art shared-memory allocators; (3) it provides node-local mechanisms to implement inter-node software caching within a GAS; (4) it is well suited for small memory systems (a few MB per node). .
Starting Page 78
Ending Page 88
Page Count 11
File Format PDF
ISBN 9781450343176
DOI 10.1145/2926697.2926709
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-06-14
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Global address space Memory allocation Distributed shared memory
Content Type Text
Resource Type Article
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