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Dynamic Scheduling for Work Agglomeration on Heterogeneous Clusters

Jonathan Lifflander, G. Carl Evans, Anshu Arya, Laxmikant V. Kale
2012 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum  
This paper describes a novel methodology for dynamically agglomerating work units at runtime and scheduling them on accelerators.  ...  This problem is typically ameliorated by statically scheduling a fixed amount of work for agglomeration.  ...  This paper describes a novel methodology for agglomerating work units dynamically at runtime and scheduling the agglomerated work units on accelerators.  ... 
doi:10.1109/ipdpsw.2012.297 dblp:conf/ipps/LifflanderEAK12 fatcat:2caloxbgincufgtktdus6kuea4

Two-Stage Solution for Meal Delivery Routing Optimization on Time-Sensitive Customer Satisfaction

Wenjie Wang, Li Jiang, Vincent F. Yu
2022 Journal of Advanced Transportation  
The sensitivity analysis shows the impact of time-sensitive customer heterogeneity on meal delivery satisfaction.  ...  The fast delivery of huge meal orders for time-sensitive customers imposes great challenges on O2O meal delivery platforms.  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China (71872038 and 71832001).  ... 
doi:10.1155/2022/9711074 fatcat:mtz5rxkzw5hobjzbbng5okheym

CD-HIT Workflow Execution on Grids Using Replication Heuristics

J. L. V, E. Huedo, R. S. Montero, I. M. Llorente
2008 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID)  
In this work, we analyze their use for workflow scheduling on Grid infrastructures.  ...  Different heuristics such as list scheduling, agglomeration and replication are available for optimizing workflow execution.  ...  Nevertheless, execution times measured on the Grid were higher than those obtained locally as Grid environment is highly dynamic, heterogeneous and faulty.  ... 
doi:10.1109/ccgrid.2008.37 dblp:conf/ccgrid/Vazquez-PolettiHML08 fatcat:w2rlqnk6bnavbgquslks6yopu4

Scheduling on Grid with communication Delay [article]

Samouriq Difrawi
2015 arXiv   pre-print
Geography distributed heterogeneous systems can now cooperate and share resources to execute one application. This computing infrastructure is known as computational Grid or Grid Computing.  ...  Grid can be viewed as a distributed large-scale cluster computing.  ...  In this work, we propose an analytical scheduling model for the Grid based on DLT, which takes into considerations the communication time as well as the computation time.  ... 
arXiv:1512.02769v1 fatcat:hn3lljh4krhjrfriqdplee3cje

Marshallian theory of regional agglomeration

Michael Beenstock, Daniel Felsenstein
2010 Papers in Regional Science  
Most models of regional agglomeration are based on the NEG (New Economic Geography) model in which returns to scale are pecuniary.  ...  We investigate the implications for regional agglomeration of a "Marshallian" model in which returns to scale derive from technological externalities.  ...  Rather, he was speculating on the causes of spatial clustering in economic activity.  ... 
doi:10.1111/j.1435-5957.2009.00253.x fatcat:qmkqmqed4rdbhksudc3suw7jeq

Innovation Clusters Revisited: On Dimensions of Agglomeration, Institution, and Built-Environment

Jianyi Li, Douglas Webster, Jianming Cai, Larissa Muller
2019 Sustainability  
Worldwide efforts promoting cluster development are supposed to be informed by research on cluster dynamics.  ...  The plethora of articles and reports on this globally hyped concept often add to the confusion, calling for a systematic synthesis.  ...  For quantitative research examining agglomeration effects on firm performance through regression models, interaction effects between cluster proximity, firm heterogeneity, and various externalities need  ... 
doi:10.3390/su11123338 fatcat:wtkkb23mcvhuvoif7sppy7vgiq

Fragment Molecular Orbital Method Adaptations for Heterogeneous Computing Platforms

Sai Kiran Talamudupula, Masha Sosonkina, Alexander Gaenko, Michael W. Schmidt
2012 Procedia Computer Science  
Specifically, its fragment scheduling is performed, both statically and dynamically, based on current conditions within a heterogeneous computing environment.  ...  Building on the successful usage of the NICAN middleware with the computational chemistry package GAMESS, the work described in this paper links NICAN with the fragment molecular orbital (FMO) method to  ...  The authors are thankful to the reviewers for their insights that helped improve the paper.  ... 
doi:10.1016/j.procs.2012.04.052 fatcat:su2lh5fww5dmlpgo7hrnsl6pju

Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing

Sid Ahmed Makhlouf, Belabbas Yagoubi
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
scheduling applications is proposed.  ...  Second, several data transformation and hierarchical clustering are applied to the CPM structure to determine the minimum number of virtual machines needed for the workflow execution.  ...  Dynamic scheduling is efficient for a cloud computing environment due to its ability to handle the arriving tasks [7] .  ... 
doi:10.9781/ijimai.2018.07.002 fatcat:emzmoqij5vebbit7xinbisw3cy

Recyclables Collection Route Balancing Problem with Heterogeneous Fleet

Roger Książek, Katarzyna Gdowska, Antoni Korcyl
2021 Energies  
For the problem, an MIP program was developed to generate optimal crew schedules, so that the hitherto network of segregated solid waste pickup nodes can be served using a heterogeneous fleet in which  ...  The main contribution of this paper is developing an optimization problem for balancing travel distance assigned to each garbage truck of a heterogeneous fleet.  ...  The recyclables collection service is performed by one company for the entire agglomeration.  ... 
doi:10.3390/en14217406 fatcat:rszyatpgnbbkzmd764bmyg6xka


R. Vasudevan, Sathish S. Vadhiyar, Laxmikant V. Kalé
2013 Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13  
The techniques in our framework include dynamic scheduling of work on CPU and GPU cores, maximizing reuse of data present in GPU memory, data management in GPU memory, and combining multiple kernels.  ...  The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing memory transfer between CPU and GPU, increasing  ...  The G-Charm runtime then schedules these objects for GPU execution. Thus the G-Charm runtime performs work agglomeration dynamically by combining kernels of multiple work requests for GPU execution.  ... 
doi:10.1145/2464996.2465444 dblp:conf/ics/VasudevanVK13 fatcat:qejvi45ur5drtpsohdlzrjcomi

Bottleneck Congestion And Work Starting Time Distribution Considering Household Travels [article]

Qida Su, David Z.W. Wang
2021 arXiv   pre-print
In terms of total net benefit, while work schedule agglomeration of all commuters leads to the maximum in some cases, the polarized agglomeration of the two heterogenous groups can never achieve the optimum  ...  Both short-run travel behaviours and long-run work start time selection of heterogenous commuters are examined under agglomeration economies.  ...  For long-run optimum, it is also found that all commuters should agglomerate in one work schedule mostly.  ... 
arXiv:2104.00938v1 fatcat:izg2ovwmbvadpe3ezzcredvqr4


Mogens Fosgerau, Kenneth Small
2017 International Economic Review  
Implicit preferences for the timing of the commute form endogenously due to concave preferences and temporal agglomeration economies.  ...  We seek to better understand the scheduling of activities in time through a dynamic model of commuting with congestion, in which workers care solely about leisure and consumption.  ...  work output is exchanged for consumption at a constant price normalized to one.  ... 
doi:10.1111/iere.12228 fatcat:meceit3jjrdlxp3hfn6rxxyvpm

Computational Cosmology and Astrophysics on Adaptive Meshes using Charm++ [article]

James Bordner, Michael L. Norman
2018 arXiv   pre-print
We present scaling results on the NSF Blue Waters supercomputer, and outline our future plans to bring Enzo-P to the Exascale Era by targeting highly-heterogeneous accelerator-based platforms.  ...  Cello's scalability is enabled by the Charm++ Parallel Programming System, whose data-driven asynchronous execution model is ideal for taking advantage of the available but irregular parallelism in adaptive  ...  a dynamic load balancing method that maintains high data locality to improve the efficiency of work unit agglomeration.  ... 
arXiv:1810.01319v1 fatcat:ovi5wyzckjhbrfou5ig4rlzxaa

Women in spatial economic analysis

Maria Abreu, Jessie Poon, Paul Elhorst
2021 Spatial Economic Analysis  
In the seminal book by Fujita et al. (1999, p. 62) , for instance, migrants respond purely to the real wage differentials, producing dynamics that lead to one of several long-run equilibria.  ...  research and development (R&D) expenditures, economic clustering and the distribution of human capital on innovation across districts in India.  ... 
doi:10.1080/17421772.2021.1909892 fatcat:srndqqszcfhxrdfquiadzbot3q

Population Trends and Urbanization: Simulating Density Effects Using a Local Regression Approach

Gloria Polinesi, Cristina Recchioni, Rosario Turco, Luca Salvati, Kostas Rontos, Jesús Rodrigo Comino, Federico Benassi
2020 ISPRS International Journal of Geo-Information  
This work finally discusses how a long-term analysis of demographic growth, testing for density-dependent mechanisms, may clarify the intrinsic role of population concentration and dispersion in different  ...  Despite a marked heterogeneity in the spatial distribution of the resident population, Mediterranean European countries are considered more homogeneous than countries in other European regions as far as  ...  auto-correlations (High-High clusters, "HH") or (ii) negative spatial auto-correlations (Low-Low clusters, "LL"), and clusters of municipalities with heterogeneous population dynamics forming transitional  ... 
doi:10.3390/ijgi9070454 fatcat:uktff3tazrczvhjp6yhnsmuxd4
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