Filters








26,542 Hits in 5.6 sec

A Brief Review on scheduling algorithms of MapReduce Optimization Techniques

R Lavanya, Jeevanshu Malhotra, Rajeshwari Swaminathan
2019 Journal of Physics, Conference Series  
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  
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

Yingcai Wu, Xiaotong Liu, Shixia Liu, Kwan-Liu Ma
2013 IEEE Transactions on Visualization and Computer Graphics  
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]

Ashish Meena, Pierre Boulet
2006 Lecture Notes in Computer Science  
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

Hans-Joachim Bungartz, Christoph Riesinger, Martin Schreiber, Gregor Snelting, Andreas Zwinkau
2013 Proceedings of the third ACM SIGPLAN X10 Workshop on - X10 '13  
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]

Nils Kohl, Dominik Thönnes, Daniel Drzisga, Dominik Bartuschat, and Ulrich Rüde
2018 arXiv   pre-print
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

Yuan Xie, Wei-lun Hung
2006 Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology  
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

Mateusz Guzek, Xavier Besseron, Sebastien Varrette, Gregoire Danoy, Pascal Bouvry
2014 2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)  
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]

Priyank Faldu and Jeff Diamond and Boris Grot
2020 arXiv   pre-print
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]

Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin
2020 arXiv   pre-print
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

Priyank Faldu, Jeff Diamond, Boris Grot
2020 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA)  
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

Samuel Grossman, Heiner Litz, Christos Kozyrakis
2018 Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - PPoPP '18  
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

Zhou Shao, Muhammad Aamir Cheema, David Taniar, Hua Lu
2016 Proceedings of the VLDB Endowment  
....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

Zbigniew Jerzak, Christof Fetzer
2008 Proceedings of the second international conference on Distributed event-based systems - DEBS '08  
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]

Valeria Cardellini, Tihana Galinac Grbac, Andreas Kassler, Pradeeban Kathiravelu, Francesco Lo Presti, Antonio Marotta, Matteo Nardelli, Luís Veiga
2018 Lecture Notes in Computer Science  
, 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
« Previous Showing results 1 — 15 out of 26,542 results