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Related papers: Taming Weak Memory Models

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The memory model for RISC-V, a newly developed open source ISA, has not been finalized yet and thus, offers an opportunity to evaluate existing memory models. We believe RISC-V should not adopt the memory models of POWER or ARM, because…

Programming Languages · Computer Science 2018-09-20 Sizhuo Zhang , Muralidaran Vijayaraghavan , Arvind

Memory consistency models define the order in which accesses to shared memory in a concurrent system may be observed to occur. Such models are a necessity since program order is not a reliable indicator of execution order, due to…

Programming Languages · Computer Science 2026-03-16 Roger C. Su , Robert J. Colvin

Weak memory models provide a complex, system-centric semantics for concurrent programs, while transactional memory (TM) provides a simpler, programmer-centric semantics. Both have been studied in detail, but their combined semantics is not…

Programming Languages · Computer Science 2018-04-18 Nathan Chong , Tyler Sorensen , John Wickerson

Weak memory models are a consequence of the desire on part of architects to preserve all the uniprocessor optimizations while building a shared memory multiprocessor. The efforts to formalize weak memory models of ARM and POWER over the…

Hardware Architecture · Computer Science 2018-09-20 Sizhuo Zhang , Muralidaran Vijayaraghavan , Andrew Wright , Mehdi Alipour , Arvind

Memory consistency models are notorious for being difficult to define precisely, to reason about, and to verify. More than a decade of effort has gone into nailing down the definitions of the ARM and IBM Power memory models, and yet there…

Programming Languages · Computer Science 2019-04-11 Sizhuo Zhang , Muralidaran Vijayaraghavan , Dan Lustig , Arvind

The memory consistency model is a fundamental system property characterizing a multiprocessor. The relative merits of strict versus relaxed memory models have been widely debated in terms of their impact on performance, hardware complexity…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-07 Alexander Jaffe , Thomas Moscibroda , Laura Effinger-Dean , Luis Ceze , Karin Strauss

Reliable storage emulations from fault-prone components have established themselves as an algorithmic foundation of modern storage services and applications. Most existing reliable storage emulations are built from storage services…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-18 Gregory Chockler , Dan Dobre , Alexander Shraer , Alexander Spiegelman

Modern processors deploy a variety of weak memory models, which for efficiency reasons may execute instructions in an order different to that specified by the program text. The consequences of instruction reordering can be complex and…

Logic in Computer Science · Computer Science 2018-12-05 Robert J. Colvin , Graeme Smith

Modern processors deploy a variety of weak memory models, which for efficiency reasons may (appear to) execute instructions in an order different to that specified by the program text. The consequences of instruction reordering can be…

Programming Languages · Computer Science 2018-12-04 Robert J. Colvin , Graeme Smith

There has been great progress recently in formally specifying the memory model of microprocessors like ARM and POWER. These specifications are, however, too complicated for reasoning about program behaviors, verifying compilers etc.,…

Programming Languages · Computer Science 2017-05-18 Sizhuo Zhang , Muralidaran Vijayaraghavan , Arvind

We propose an axiomatic generic framework for modelling weak memory. We show how to instantiate this framework for SC, TSO, C++ restricted to release-acquire atomics, and Power. For Power, we compare our model to a preceding operational…

Logic in Computer Science · Computer Science 2014-01-10 Jade Alglave , Luc Maranget , Michael Tautschnig

Second order stationary models in time series analysis are based on the analysis of essential statistics whose computations follow a common pattern. In particular, with a map-reduce nomenclature, most of these operations can be modeled as…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-23 Francois Belletti , Evan Sparks , Michael Franklin , Alexandre M. Bayen

We present a general methodology for establishing the impossibility of implementing certain concurrent objects on different (weak) memory models. The key idea behind our approach lies in characterizing memory models by their mergeability…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-02 Armando Castañeda , Gregory Chockler , Brijesh Dongol , Ori Lahav

Solid-state storage architectures based on NAND or emerging memory devices (SSD), are fundamentally architected and optimized for both reliability and performance. Achieving these simultaneous goals requires co-design of memory components…

Hardware Architecture · Computer Science 2026-03-20 Jay Sarkar , Vamsi Pavan Rayaprolu , Abhijeet Bhalerao

Sequential computation is well understood but does not scale well with current technology. Within the next decade, systems will contain large numbers of processors with potentially thousands of processors per chip. Despite this, many…

Hardware Architecture · Computer Science 2015-11-17 James Hanlon

Computing-in-Memory architectures based on non-volatile emerging memories have demonstrated great potential for deep neural network (DNN) acceleration thanks to their high energy efficiency. However, these emerging devices can suffer from…

Machine Learning · Computer Science 2022-10-10 Zheyu Yan , Xiaobo Sharon Hu , Yiyu Shi

Determining whether multiple instructions can access the same memory location is a critical task in binary analysis. It is challenging as statically computing precise alias information is undecidable in theory. The problem aggravates at the…

Cryptography and Security · Computer Science 2022-10-07 Kexin Pei , Dongdong She , Michael Wang , Scott Geng , Zhou Xuan , Yaniv David , Junfeng Yang , Suman Jana , Baishakhi Ray

Existing large language models (LLMs) evaluations use fixed-difficulty benchmarks that cannot adapt as models improve, and rarely isolate specific cognitive processes. We introduce Working Memory Fidelity-Active Manipulation (WMF-AM), a…

Artificial Intelligence · Computer Science 2026-05-05 Dengzhe Hou , Lingyu Jiang , Deng Li , Zirui Li , Fangzhou Lin , Kazunori D Yamada

Safety-critical embedded systems having to meet real-time constraints are expected to be highly predictable in order to guarantee at design time that certain timing deadlines will always be met. This requirement usually prevents designers…

Hardware Architecture · Computer Science 2011-11-09 Lars Wehmeyer , Peter Marwedel

Proving the correctness of programs written for multiple processors is a challenging problem, due in no small part to the weaker memory guarantees afforded by most modern architectures. In particular, the existence of store buffers means…

Logic in Computer Science · Computer Science 2014-06-09 Benjamin Selfridge
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