Results 41 to 50 of about 79,892 (211)
LiTM: A Lightweight Deterministic Software Transactional Memory System
PMAM@PPoPP, 2019 Deterministic software transactional memory (STM) is a useful programming model for writing parallel codes, as it improves programmability (by supporting transactions) and debuggability (by supporting determinism).
Yuchong Xia +4 more
semanticscholar +1 more source
SPECULA: Speculative Replication of Software Transactional Memory [PDF]
2012 IEEE 31st Symposium on Reliable Distributed Systems, 2012 This paper introduces SPECULA, a novel replication protocol for Software Transactional Memory (STM) systems that seeks maximum overlap between transaction execution and replica synchronization phases via speculative processing techniques. By removing the replica synchronization phase from the critical path of execution of transactions, SPECULA allows ...
Peluso, Sebastiano +4 more
openaire +2 more sources
Adaptive Software Transactional Memory [PDF]
, 2005 Software Transactional Memory (STM) is a generic synchronization construct that enables automatic conversion of correct sequential objects into correct nonblocking concurrent objects. Recent STM systems, though significantly more practical than their predecessors, display inconsistent performance: differing design decisions cause different systems to ...
Virendra J. Marathe +2 more
openaire +1 more source
Concurrency Bug Avoiding Based on Optimized Software Transactional Memory
Scientific Programming, 2019 Software transactional memory is an effective mechanism to avoid concurrency bugs in multithreaded programs. However, two problems hinder the adoption of such traditional systems in the wild world: high human cost for equipping programs with transaction ...
Zhen Yu, Y. Zuo, W. Xiong
semanticscholar +1 more source
Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Efficient nonblocking software transactional memory
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming, 2007 Foundational transactional memory research grew out of research into nonblocking concurrent data structures, which aim to overcome the many well-known software engineering, performance, and robustness problems associated with lock-based implementations.
Virendra J. Marathe, Mark Moir
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Software Transactional Memory on Relaxed Memory Models [PDF]
, 2009 Pseudo-code descriptions of STMs assume sequentially consistent program execution and atomicity of high-level STM operations like read, write, and commit. These assumptions are often violated in realistic settings, as STM implementations run on relaxed memory models, with the atomicity of operations as provided by the hardware.
Rachid Guerraoui +2 more
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Reducing Memory Ordering Overheads in Software Transactional Memory [PDF]
2009 International Symposium on Code Generation and Optimization, 2009 Most research into high-performance software transactional memory (STM) assumes that transactions will run on a processor with a relatively strict memory model, such as Total Store Ordering (TSO). To execute these algorithms correctly on processors with relaxed memory models, explicit fence instructions may be required on every transactional access ...
Michael F. Spear +3 more
openaire +1 more source
Scaling Emerging Healthcare Technology: Managing Paradoxical Tensions in A Connected Health Platform
Journal of Operations Management, EarlyView.ABSTRACT To address growing geographical disparities in healthcare access and quality, connected health platforms (CHPs) have emerged as promising solutions. However, rapidly scaling CHPs poses significant challenges, particularly in managing tensions among multiple entities.
Yichuan Wang +4 more
wiley +1 more source