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Efficient transactions for parallel data movement

Jay Lofstead, Jai Dayal, Ivo Jimenez, Carlos Maltzahn
2013 Proceedings of the 8th Parallel Data Storage Workshop on - PDSW '13  
§ LWFS 2006 § TransacGon support for file systems § LDRD 2010 § General parallel transacGons for data movement and system reconfig § Lustre/Intel FastForward 2012+ § Epochs § SNL/GT & SNL/UCSC 2013  ...  Next Steps § UCSC/SNL transacGon spectrum project § GT/SNL use for "containers" project § SNL use for data staging/in transit processing/code coupling § Working with Intel/Lustre FastForward team to  ... 
doi:10.1145/2538542.2538567 dblp:conf/sc/LofsteadDJM13 fatcat:uln3gdy4uveolebqpgtmpxe6x4

Author index

2006 2006 IEEE International Conference on Cluster Computing  
Efficient Data-Movement for Lightweight I/O Oldfield, Ron A.  ...  Positioning Dynamic Storage Caches for Transient Data Ward, Lee Efficient Data-Movement for Lightweight I/O Widener, Patrick Efficient Data-Movement for Lightweight I/O Fifth International Workshop on  ... 
doi:10.1109/clustr.2006.311921 fatcat:vmbbimypuze7ncjqfonu4po5l4

Editorial for the special issue on storage system and technology

Dan Feng, Hong Jiang, Laurence T. Yang, Xubin He, André Brinkmann
2020 CCF Transactions on High Performance Computing  
Another paper written by Jiangkun Hu et al. covers consistency and efficiency of B + trees for NVM.  ...  performance of HPC collective data movements and bursty asynchronous data movements by dynamically using the modest mode.  ...  Another paper written by Jiangkun Hu et al. covers consistency and efficiency of B + trees for NVM.  ... 
doi:10.1007/s42514-020-00026-9 fatcat:7vvbcpyr6rgutmdy5qvr6idd6u

Parallel Association Rule Mining on Heterogeneous System

Rakhi Garg, P. K. Mishra
2010 International Journal of Computer Applications  
A parallel algorithm for heterogeneous system is regarded as one of the most promising platforms for association rule mining.  ...  In this paper we propose a simple parallel algorithm for association rule mining on heterogeneous system with dynamic load balancing based on Par-Maxclique algorithm.  ...  There is minimum communication and data movement involved between the processors because it's a scheduler who checks the load balance of the processors and involved in the data movement between the desired  ... 
doi:10.5120/295-459 fatcat:emk5as7ozbbtpfsn2lcddaop3y

An 81.6 GOPS Object Recognition Processor Based on NoC and Visual Image Processing Memory

Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2007 2007 IEEE Custom Integrated Circuits Conference  
The chip integrates 10 SIMD PEs for data/task level parallelism while the NoC facilitates inter-PE communications.  ...  SIFT (Scale Invariant Feature Transform) object recognition requires huge computing power and data transactions among tasks.  ...  Therefore, providing simultaneous data transactions between tasks is essential for exploiting task level parallelism of the 10 PEs.  ... 
doi:10.1109/cicc.2007.4405769 dblp:conf/cicc/KimKKLY07 fatcat:23aktkobnranvamxepqtoyaqku

High Performance Data Mining [chapter]

Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael Steinbach
2003 Lecture Notes in Computer Science  
There is a necessity to develop effective parallel algorithms for various data mining techniques.  ...  and induction of decision trees for classification.  ...  and efficiency, designs targeted for shared memory and distributed shared memory machines equipped with symmetric multiprocessors, and efficient integration of parallel algorithms with parallel database  ... 
doi:10.1007/3-540-36569-9_8 fatcat:flwxvkqninaz7n5jwo4aqwdnla

Guest editorial: special issue on mobile data management

Dipanjan Chakraborty, Vana Kalogeraki, Mohamed Mokbel
2012 Distributed and parallel databases  
In this special issue, we have made an open call for papers for research contributions related to mobile data management.  ...  , transactions on mobile ad-hoc networks, trajectory clustering, k-nearest-neighbor queries, elastic cloud environment, data acquisition in smart phones, and security in a smart phone environment.  ...  The second paper by Szalapski and Madria, titled "On Compressing Data in Wireless Sensor Networks For Energy Efficiency and Real Time Delivery", presents a suite of energy-efficient methods, termed TinyPack  ... 
doi:10.1007/s10619-012-7117-z fatcat:jpzyazinkffd3hyyv2i6q6gzo4

Architectural Support for Reducing Parallel Processing Overhead in an Embedded Multiprocessor

Jian Wang, Joar Sohl, Dake Liu
2010 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing  
control the data movements in the memory hierarchy.  ...  This SPM-based solution is more efficient for predictable signal processing in embedded systems where data access patterns are known at design time.  ...  ACKNOWLEDGEMENTS The authors would like to thank SSF, Swedish Foundation for Strategic Research, for the support of this project.  ... 
doi:10.1109/euc.2010.17 dblp:conf/euc/WangSL10 fatcat:uboiys3jzncufgqeana4pn7lxy

Parallel And Distributed Mining Of Association Rule On Knowledge Grid

U. Sakthi, R. Hemalatha, R. S. Bhuvaneswaran
2008 Zenodo  
Computational grid is integrated with data grid to form Knowledge Grid, which implements Apriori algorithm for mining association rule on grid network.  ...  This paper describes development of parallel and distributed version of Apriori algorithm on Globus Toolkit using Message Passing Interface extended with Grid Services (MPICHG2).  ...  The predicted movement can be used to increase the efficiency of PCSs.  ... 
doi:10.5281/zenodo.1076636 fatcat:lsirej2jpjbyxi45xhbqxf5h7e

Vision platform for mobile intelligent robot based on 81.6 GOPS object recognition processor

Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2008 Proceedings of the 45th annual conference on Design automation - DAC '08  
are integrated for task parallelism, and each PE is equipped with SIMD instruction for data parallelism as well.  ...  Based on analysis of Scale Invariant Feature Transform (SIFT) algorithm, architecture of the proposed processor is designed to support both task and data level parallelism. 10 Processing Elements (PEs)  ...  In summary, hardware features that are advantageous for the efficient SIFT computation is as follows For efficient 1-to-N and M-to-1 data transactions, interconnection among the 10 PEs and the 8 VIPS memories  ... 
doi:10.1145/1391469.1391496 dblp:conf/dac/KimKKLY08 fatcat:w5r4qhlyzzhexoe65xiw6jz24u

A Distributed Shared Memory Model and C++ Templated Meta-Programming Interface for the Epiphany RISC Array Processor [article]

David Richie, James Ross, Jamie Infantolino
2017 arXiv   pre-print
data movement and localization.  ...  The approach offers an extremely simple parallel programming model well suited for the architecture.  ...  Army Research Laboratory-hosted Department of Defense Supercomputing Resource Center for its support of this work.  ... 
arXiv:1704.08343v1 fatcat:ve6tmei4brdshj5w4x74xij3em

Special Issue on CAD and Big Data

Zheng Xu, Yunhuai Liu, Neil Yen
2016 Computer-Aided Design and Applications  
and web logs; and are of large size with fast data movement in and out.  ...  Zhang et al. present a parallel mechanism for photorealistic fluid animation on cluster system. Their method can animate liquid with rich details and high efficiency.  ...  Zhang et al. present a parallel mechanism for photorealistic fluid animation on cluster system. Their method can animate liquid with rich details and high efficiency.  ... 
doi:10.1080/16864360.2016.1223414 fatcat:c4eme4oeifaq7f33mbrh5uy2a4

Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG

Lauren H. Smith, Todd A. Kuiken, Levi J. Hargrove
2016 IEEE Transactions on Biomedical Engineering  
Conclusion and Significance-Linear regression myoelectric control using intramuscular EMG provided an alternative to parallel dual-site control for 3-DOF simultaneous control at the wrist and hand.  ...  An offline analysis also evaluated how different types of training data affected prediction accuracy of linear regression control.  ...  Acknowledgment The authors would like to Ann Barlow, PhD, and Sheila Burt for assistance in editing the manuscript.  ... 
doi:10.1109/tbme.2015.2469741 pmid:26302506 pmcid:PMC4761337 fatcat:2n3s3t4ybbd4fox4op7mxumxce

Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases [article]

Geraldo F. Oliveira and Amirali Boroumand and Saugata Ghose and Juan Gómez-Luna and Onur Mutlu
2022 arXiv   pre-print
Unfortunately, this data movement is a major bottleneck for system performance and energy consumption.  ...  models for edge devices and (2) hybrid transactional/analytical processing databases for cloud systems.  ...  Acknowledgments We thank SAFARI Research Group members for valuable feedback and the stimulating intellectual environment they provide.  ... 
arXiv:2205.14664v1 fatcat:qcwpvtn6q5fvnipyuicjq24m5e

Scalable parallel data mining for association rules

Eui-Hong Han, G. Karypis, V. Kumar
2000 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we present two new parallel algorithms for mining association rules.  ...  The Intelligent Data Distribution algorithm efficiently uses aggregate memory of the parallel computer by employing intelligent candidate partitioning scheme and uses efficient communication mechanism  ...  Figure 6 : 6 Pseudo Code for Data Movements Figure 7 : 7 Intelligent Data Distribution (IDD) Algorithm the intelligent partitioning of C k .  ... 
doi:10.1109/69.846289 fatcat:eiccyoyegffi7luooucn3dsas4
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