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Practical Multidimensional Branch Prediction

Andre Seznec, Joshua San Miguel, Jorge Albericio
2016 IEEE Micro  
In this paper, we introduce a practical, cost-effective mechanism for capturing multidimensional branch correlations: the Inner Most Loop Iteration (IMLI) counter.  ...  The wormhole (WH) branch predictor was recently introduced to exploit branch outcome correlation via multidimensional histories.  ...  MULTIDIMENSIONALITY Albericio et al. [4] , [5] recognize that, in many cases, hard-to-predict branches are encapsulated in multidimensional loops.  ... 
doi:10.1109/mm.2016.33 fatcat:2c4dz5k5vrddrk2qbywsysso34

The inner most loop iteration counter

André Seznec, Joshua San Miguel, Jorge Albericio
2015 Proceedings of the 48th International Symposium on Microarchitecture - MICRO-48  
In this paper, we introduce practical predictor components to exploit this branch outcome correlation in multidimensional loops: the IMLI-based predictor components.  ...  Academia Following on insights from WH [4, 5] , IMLI demonstrates that significant yet practical improvements can be achieved from exploiting multidimensionality in branch history.  ... 
doi:10.1145/2830772.2830831 dblp:conf/micro/SeznecMA15 fatcat:57bjtu7oofcxxd4sdj5d36b7vm

Wormhole: Wisely Predicting Multidimensional Branches

Jorge Albericio, Joshua San Miguel, Natalie Enright Jerger, Andreas Moshovos
2014 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture  
Branch prediction traditionally considers past branch outcomes as a linear, continuous bit stream through which it searches for patterns and correlations.  ...  This work identifies a construct, inherent to several applications that challenges existing, linear history based branch prediction strategies.  ...  Thus, a mechanism that considers the branch history in a multidimensional fashion would successfully predict B1.  ... 
doi:10.1109/micro.2014.40 dblp:conf/micro/AlbericioMJM14 fatcat:is2msrbbzbenrfkgfbt6tfklfa

Practical Intelligence, Emotional Intelligence, and Social Intelligence [chapter]

Filip Lievens, David Chan
2017 Handbook of Employee Selection  
) in predicting job-relevant performance criteria which are often multidimensional in nature.  ...  As another example, practical intelligence might predict adaptive performance better than it predicts routine task performance.  ... 
doi:10.4324/9781315690193-15 fatcat:4bsthq5ravbolo5dxte5vvfss4

Multidimensional signal processing and detection for storage systems with data-dependent transition noise

R. Pighi, R. Raheli, U. Amadei
2006 IEEE transactions on magnetics  
Index Terms-Longitudinal and perpendicular recording, magnetic storage systems, multidimensional linear prediction, multidimensional signal processing, optical storage systems, transition noise.  ...  In this paper, we present a new detection scheme based on a multidimensional detector front end and multidimensional linear prediction, applied to maximum a posteriori probability (MAP) sequence detection  ...  Multidimensional linear prediction can be used to modify the branch metrics of a Viterbi detector in order to improve the performance and make it quite insensitive to transition noise.  ... 
doi:10.1109/tmag.2006.874096 fatcat:aq7vmaum6vcn7ptrsqdwj33e6y

Optimizing OLAP Cube for Supporting Business Intelligence and Forecasting in Banking Sector

Sonali Mathur, Shankar Lal Gupta, Payal Pahwa
2021 Journal of Information Technology Management  
Higher management can forecast and predict various outcomes from the bank data warehouse using On-Line Analytical Processing technology which provided a multidimensional view of the data.  ...  Thus, by using OLAP technology, which provides a multidimensional view of the data higher management can forecast and predict various outcomes from the bank data warehouse.  ...  It follows a multidimensional strategy to arrange and analyse the information. Thus, due to its multidimensional view it has a very pivotal role in taking important business decisions.  ... 
doi:10.22059/jitm.2021.80026 doaj:3c9b6054a31c4c3fbd8256be31cacc09 fatcat:btm5kblsxfckfimatvvnlecxzy

Individual versus triadic performance on a unidimensional complementary task as a function of initial ability level

Patrick R. Laughlin, Laurence G. Branch, Homer H. Johnson
1969 Journal of Personality and Social Psychology  
For tetrads, (Laughlin and Branch, unpublished) , its predictions of improvement were accurate in 145 out of 165 comparisons (88%), its predictions of group performance were accurate in 124 out of 153  ...  In an investigation of Steiner's concepts and the complementary task model, Laughlin, Branch, and Johnson (Laughlin and Johnson, 1966; Laughlin, Branch, and Johnson, 1969; Laughlin and Branch, unpublished  ... 
doi:10.1037/h0027572 fatcat:p2i4eikcazb2xpt2venvicwnfa

What-if Simulation Modeling in Business Intelligence

Matteo Golfarelli, Stefano Rizzi
2009 International Journal of Data Warehousing and Mining  
This cube is then transformed by the Stir product action, that simulated the addition of a product to a branch, to produce the final prediction in the form of a Cube of Sale with state [prediction] .  ...  In practice, the approach proved successful in making the design process fast, wellstructured and transparent.  ... 
doi:10.4018/jdwm.2009080702 fatcat:r37v6lmfineyxbfwos3zsondki

How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test

Daniel V Simonet, Katherine E Miller, Kevin L Askew, Kenneth E Sumner, Marcello Mortillaro, Katja Schlegel
2021 Journal of Intelligence  
(EI) branches predict distinct criteria related to adjustment and motivation.  ...  Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence  ...  However, the practical value of distinguishing EI branches must be demonstrated by their utility in incrementally predicting criteria over one another and beyond individual differences in personality and  ... 
doi:10.3390/jintelligence9010014 pmid:33807593 pmcid:PMC8006218 fatcat:narex2pq6ndzrjvna22nkntyo4

Data mining techniques application for prediction in OLAP cube

Asma Lamani, Brahim Erraha, Malika Elkyal, Abdallah Sair
2019 International Journal of Electrical and Computer Engineering (IJECE)  
The technique of data mining by regression trees is then applied for each sub-cube to predict the value of a cell.  ...  order to partition an initial data cube into dense sub-cubes that could serve as a learning set to build a prediction model.  ...  53)  R 4 2 (Branch ⋀ ( Juil ⋁ Aout) → 14,83  R 4 3 ((X1) AFDM_1_Axis_2 vs.  ... 
doi:10.11591/ijece.v9i3.pp2094-2102 fatcat:tyhwn5fomraohfruddjgekxkti

Page 225 of Psychological Abstracts Vol. 50, Issue 2 [page]

1973 Psychological Abstracts  
Methodological issues in validating branching hierarchies are discussed, with particular reference to tests of disjunctive branches, i.e., instances in which learning either of 2 simpler objectives is  ...  called MESA (Multidimensional Evaluation Structure Analy- sis).  ... 

Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences [article]

Jakob Aungiers
2020 arXiv   pre-print
autoencoder branch and subsequently feeding the trained latent vector representation into a predictor branch of the model.  ...  Time series sequence prediction and modelling has proven to be a challenging endeavor in real world datasets.  ...  The second branch of the MvTAe model acts as a predictive branch -we call this the Alpha branch, as it generates a predictive alpha signal as its output.  ... 
arXiv:2010.03661v1 fatcat:leuop2djdbdd3pkr4ff62eactq

The implication of business intelligence in risk management: a case study in agricultural insurance

Mehran Amini, Sara Salimi, Farid Yousefinejad, Mohammad J. Tarokh, Sayyed M. Haybatollahi
2021 Journal of Data, Information and Management  
Multidimensional online analytical processing architecture was analyzed using Targit business intelligence tool.  ...  Although methods of risk management in the insurance industry have been proposed many years ago, the research effort has primarily been focused on predictive analyses.  ...  Through multidimensional online analytical processing architect, we carried out series of predictions in terms of As risk analysis attempts at assessing an underlying true risk with quantified uncertainty  ... 
doi:10.1007/s42488-021-00050-6 fatcat:4h7n2nrcsjdsdkyzq253apckoi

What if simulation for a Brazilian company regarding marketing budget

Diogo André PINTO
2016 Journal of Economic Development, Environment and People  
In practice, the formulation of a scenario allows the construction of a hypothetical world that the analyst can see and navigate.  ...  The prediction takes the form of a multidimensional cube as presented in Fig. 1 , which measures the dimensions and corresponding business variables, to be operated by the user interactively [www1].  ...  modelling, which defines the multidimensional diagram describing the prediction by taking into account the static part of the business model produced in step 2, and respecting the requirements expressed  ... 
doi:10.26458/jedep.v5i2.498 fatcat:p4pikgqvtjhvbakrhscev5wqxm

Machine Learning in Multidimensional Biomarker Design: A Milestone in Precision Medicine - A Systematic Review

Raajasiri Iyengar, Gaurav ,
2020 Acta Scientific Dental Scienecs  
Aim of the Study: To determine the role of Machine Learning in the rational design of multidimensional biomarkers.  ...  Research Question: Can Machine Learning enable rational design of multidimensional biomarkers which serve as molecular signatures for specific disease states?  ...  Using machine-learning algorithms and models, high-accuracy predictive biomarkers called 'multidimensional biomarkers' can be identified and built by employing rational, data-driven methods.  ... 
doi:10.31080/asds.2020.04.0957 fatcat:sorebztv6fblrk2xyzecnlwvki
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