Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-02-04
EPTCS 17, 2010, pp. 63-77
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
10.4204/EPTCS.17.6
The upcoming many-core architectures require software developers to exploit concurrency to utilize available computational power. Today's high-level language virtual machines (VMs), which are a cornerstone of software development, do not provide sufficient abstraction for concurrency concepts. We analyze concrete and abstract concurrency models and identify the challenges they impose for VMs. To provide sufficient concurrency support in VMs, we propose to integrate concurrency operations into VM instruction sets. Since there will always be VMs optimized for special purposes, our goal is to develop a methodology to design instruction sets with concurrency support. Therefore, we also propose a list of trade-offs that have to be investigated to advise the design of such instruction sets. As a first experiment, we implemented one instruction set extension for shared memory and one for non-shared memory concurrency. From our experimental results, we derived a list of requirements for a full-grown experimental environment for further research.
Adams Bram
Costanza Pascal
D'Hondt Theo
Haupt Michael
Marr Stefan
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