Results 81 to 90 of about 1,914,541 (354)
Hardware Transactional Memory [PDF]
, 2004 This work shows how hardware transactional memory (HTM) can be implemented to support transactions of arbitrarily large size, while ensuring that small transactions run efficiently.
Asanovic, Krste +3 more
core
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
HeTM: Transactional Memory for Heterogeneous Systems
, 2019 Modern heterogeneous computing architectures, which couple multi-core CPUs with discrete many-core GPUs (or other specialized hardware accelerators), enable unprecedented peak performance and energy efficiency levels.
Castro, Daniel +3 more
core +1 more source
A Comparative Analysis of STM Approaches to Reduction Operations in Irregular Applications [PDF]
, 2016 As a recently consolidated paradigm for optimistic concurrency in modern multicore architectures, Transactional Memory (TM) can help to the exploitation of parallelism in irregular applications when data dependence information is not available up to run-
Bienia +30 more
core +1 more source
Journal of Forecasting, EarlyView.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Journal of Integrative Bioinformatics, 2020 In the field of computational biology, in order to simulate multiscale biological systems, the Cellular Potts Model (CPM) has been used, which determines the actions that simulated cells can perform by determining a hamiltonian of energy that takes into ...
Tomeu Antonio J., Salguero Alberto G.
doaj +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
Acting authentically: Using play to cultivate authentic interrelating in role performance
Journal of Organizational Behavior, EarlyView.Summary Research is increasingly demonstrating that authenticity and human connection are fundamental and interrelated human needs. However, organizational roles often constrain authenticity and connection in workplace interactions, especially roles that are highly scripted.
Lyndon E. Garrett
wiley +1 more source
Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach
Journal of ICT Research and Applications, 2013 Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of
A. V. Senthil Kumar, R. S. D. Wahidabanu
doaj
Electronics Letters, 1997 Advances in VLSI technology have rendered the implementation of complex operation sequences or transactions inside the body of hardware memory chips a concrete possibility. We show that such an implementation will provide an attractive performance gain and demonstrate the effectiveness through simulation.
null Leong, null Choy
openaire +1 more source