Memory Model = Instruction Reordering + Store Atomicity

Author:

Arvind Arvind1,Maessen Jan-Willem2

Affiliation:

1. MIT CSAIL

2. Sun Microsystems Laboratories, Burlington, MA

Abstract

We present a novel framework for defining memory models in terms of two properties: thread-local Instruction Reordering axioms and Store Atomicity, which describes inter-thread communication via memory. Most memory models have the store atomicity property, and it is this property that is enforced by cache coherence protocols. A memory model with Store Atomicity is serializable; there is a unique global interleaving of all operations which respects the reordering rules. Our framework uses partially ordered execution graphs; one graph represents many instruction interleavings with identical behaviors. The major contribution of this framework is a procedure for enumerating program behaviors in any memory model with Store Atomicity. Using this framework, we show that address aliasing speculation introduces new program behaviors; we argue that these new behaviors should be permitted by the memory model specification. We also show how to extend our model to capture the behavior of non-atomic memory models such as SPARC R TSO.

Publisher

Association for Computing Machinery (ACM)

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Parallelized Sequential Composition and Hardware Weak Memory Models;Software Engineering and Formal Methods;2021

2. Speculative Enforcement of Store Atomicity;2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO);2020-10

3. Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8;Proceedings of the ACM on Programming Languages;2018-01

4. Weak Memory Models: Balancing Definitional Simplicity and Implementation Flexibility;2017 26th International Conference on Parallel Architectures and Compilation Techniques (PACT);2017-09

5. Post-Silicon Validation of Multiprocessor Memory Consistency;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2015-06

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