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A Brief Review on scheduling algorithms of MapReduce Optimization Techniques
2019
Journal of Physics, Conference Series
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Scheduling algorithms of MapReduce model using hadoop vary with design and behaviour, and are used for handling many issues like data locality, awareness with resource, energy and time. ...
With the increase in size and complexity if modern datasets, the world is faced with new challenges in the automation and scalability of the very large data sets. ...
To tackle this problem a graph can be partitioned into inter and intra graphs and the result of this partitioning can be further used for approximation. ...
doi:10.1088/1742-6596/1362/1/012001
fatcat:ikw7wxziybbm7e2eph2xkgtif4
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Distributed Stream Processing
Engines
Ge, Chang
471
Bi-Temporal Timeline Index: A Data Structure for Processing Queries on Bi-Temporal
Data
Ge, Tingjian
747
PIE: Approximate Interleaving Event ...
for Distributed Stream Processing
Engines
Nawab, Faisal
1203
High Performance Temporal Indexing on Modern Hardware
Nayak, Richi
615
Robust Clustering of Multi-Type Relational Data via a Heterogeneous ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
ViSizer: A Visualization Resizing Framework
2013
IEEE Transactions on Visualization and Computer Graphics
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Visualization resizing is useful for many applications where users may use different display devices. ...
This work introduces ViSizer, a perception-based framework for automatically resizing a visualization to fit any display. ...
Two types of significance-aware grids are derived, such that the proposed framework is applicable to most visualizations. ...
doi:10.1109/tvcg.2012.114
pmid:22529326
fatcat:4utcrdizxveovpewtcbkdr77mm
Model Driven Scheduling Framework for Multiprocessor SoC Design
[chapter]
2006
Lecture Notes in Computer Science
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To provide good potential to scheduling and mapping decisions we propose in this paper a static scheduling framework for MpSoC design. ...
Modern SoCs may include several CPU subsystems to execute software and sophisticated interconnect in addition to specific hardware subsystems. ...
Such frameworks shares some common basic aspects for scheduling and mapping compared to on-chip distributed computing (MpSoC). ...
doi:10.1007/11752578_107
fatcat:ov4d2e6odrdlbnojqjebcw56xe
Invasive computing in HPC with X10
2013
Proceedings of the third ACM SIGPLAN X10 Workshop on - X10 '13
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Our results show improved application throughput and the dynamic adaptivity. In addition, we show our extension for the distributed arrays of X10 to support data migration. ...
To counteract the additional complexity introduced by the additional interfaces, e. g. for data migration, we use the X10 programming language for improved programmability. ...
Contributions In summary, our contributions in this paper are: • a framework for resource-aware programming in X10, which supports adaptation at application-specific points • a resource-aware multigrid ...
doi:10.1145/2481268.2481274
dblp:conf/pldi/BungartzRSSZ13
fatcat:soss7qbrorgdnhy65bovwmtfse
A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids
[article]
2018
arXiv
pre-print
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In this article, a new generic higher-order finite-element framework for massively parallel simulations is presented. ...
Different abstraction levels and fully distributed data structures additionally ensure high flexibility, extensibility, and scalability. ...
Acknowledgements This work was partly supported by the German Research Foundation through the Priority Programme 1648 "Software for Exascale Computing" (SPPEXA) and by grant WO671/11-1. ...
arXiv:1805.10167v1
fatcat:uxexq24lgjdgxp66mtvkyir5zy
Temperature-Aware Task Allocation and Scheduling for Embedded Multiprocessor Systems-on-Chip (MPSoC) Design
2006
Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology
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This paper proposes a temperature-aware task allocation and scheduling algorithm for MPSoC embedded systems. ...
Thermal-aware heuristics are developed, and a temperature-aware floorplanning tool is used to reduce the peak temperature and achieve a thermally even distribution while meeting real time constraints. ...
Applications are partitioned into a task graph, which is a directed acyclic graph, as shown in Fig. 2 . ...
doi:10.1007/s11265-006-9760-y
fatcat:ha6ug7boerbvzn2q56dqovnlxe
ParaMASK: A Multi-Agent System for the efficient and dynamic adaptation of HPC workloads
2014
2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
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Therefore High Performance Computing (HPC) applications require adaptation mechanisms and then must avoid traditional monolithic centralized approaches in favor of novel autonomous, flexible and decentralized ...
Our proposed solution, named ParaMASK, relies on the similarities between ParaMoise workflow-based functional specifications and the Direct Acyclic Graph (DAG) representation of the distributed execution ...
application, as it would correspond to approximately 55 coordination events. ...
doi:10.1109/isspit.2014.7300600
dblp:conf/isspit/GuzekBVDB14
fatcat:o6og37bkqbg7jpvawckvkgbezq
Domain-Specialized Cache Management for Graph Analytics
[article]
2020
arXiv
pre-print
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A common property of graphs used in the domain of graph analytics is a power-law distribution of vertex connectivity, wherein a small number of vertices are responsible for a high fraction of all connections ...
Graph analytics power a range of applications in areas as diverse as finance, networking and business logistics. ...
We thank Amna Shahab, Antonios Katsarakis, Arpit Joshi, Artemiy Margaritov, Avadh Patel, Dmitrii Ustiugov, Rakesh Kumar, Vasilis Gavrielatos, Vijay Nagarajan, and the anonymous reviewers for their valuable ...
arXiv:2001.09783v2
fatcat:qi2qamraqjbtnpxvbjhayrp7mq
Learning Diverse Fashion Collocation by Neural Graph Filtering
[article]
2020
arXiv
pre-print
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In this paper, we propose a novel fashion collocation framework, Neural Graph Filtering, that models a flexible set of fashion items via a graph neural network. ...
By applying symmetric operations on the edge vectors, this framework allows varying numbers of inputs/outputs and is invariant to their ordering. ...
CONCLUSION In this paper, we propose the neural graph filtering framework to enable the flexible and diverse fashion collocation for the first time. ...
arXiv:2003.04888v1
fatcat:yc3nh3rlt5dk3brr3p5svfjlri
Domain-Specialized Cache Management for Graph Analytics
2020
2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)
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A common property of graphs used in the domain of graph analytics is a power-law distribution of vertex connectivity, wherein a small number of vertices are responsible for a high fraction of all connections ...
Graph analytics power a range of applications in areas as diverse as finance, networking and business logistics. ...
We thank Amna Shahab, Antonios Katsarakis, Arpit Joshi, Artemiy Margaritov, Avadh Patel, Dmitrii Ustiugov, Rakesh Kumar, Vasilis Gavrielatos, Vijay Nagarajan, and the anonymous reviewers for their valuable ...
doi:10.1109/hpca47549.2020.00028
dblp:conf/hpca/FalduDG20
fatcat:2dybg7bucnfklfdh2p3m3bnuli
Making pull-based graph processing performant
2018
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - PPoPP '18
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Our contributions are embodied in Grazelle, a hybrid graph processing framework. ...
Graph processing engines following either the push-based or pull-based pattern conceptually consist of a two-level nested loop structure. ...
Acknowledgements We thank our anonymous reviewers and our shepherd, Michelle Goodstein, for their feedback and assistance in improving our paper. ...
doi:10.1145/3178487.3178506
dblp:conf/ppopp/GrossmanLK18
fatcat:up3zsecpynhzjmum53l4kt3ft4
VIP-Tree
2016
Proceedings of the VLDB Endowment
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....Ahmet Erdem Sarıyüce, Ali Pinar 97 Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling .................................................. ...
Laurel Orr, Dan Suciu, Magdalena Balazinska 1154 TABLE OF CONTENTS
Research Papers
TABLE OF CONTENTS
Research Papers
TABLE
SquirrelJoin: Network-Aware Distributed Join Processing with Lazy ...
doi:10.14778/3025111.3025115
fatcat:2vi4x3dmlvfohndw5iw2xoibnq
BFSiena
2008
Proceedings of the second international conference on Distributed event-based systems - DEBS '08
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BFSiena is a low latency, high throughput communication system which is well suited for the processing frameworks, like Stream-Mine. ...
StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. ...
INTRODUCTION StreamMine is a part of the Scalable Automatic Streaming Middleware for Real-Time Processing of Massive Data Flows (STREAM) seventh framework program (FP7-216181). ...
doi:10.1145/1385989.1386032
dblp:conf/debs/JerzakF08a
fatcat:obzgw7voqjf7hixerr6trkxktu
Integrating SDN and NFV with QoS-Aware Service Composition
[chapter]
2018
Lecture Notes in Computer Science
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, to the deployment of data stream processing applications using SDN to control the network paths, to exploiting SDN for context-aware service compositions. ...
Network Function Virtualization (NFV) and Software-Defined Networking (SDN) are two key enablers for such a new flexible, scalable, and service-oriented network architecture. ...
centers, to the deployment of data stream processing (DSP) applications using SDN to control the network paths, to exploiting SDN for context-aware service compositions. ...
doi:10.1007/978-3-319-90415-3_9
fatcat:zrjipv53ybcwtfnmzszj3xunea
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