31 Chapters
Medium 9781601322616

Improving Platform Independent Graphical Performance by Compressing Information Transfer using JSON

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

10

Int'l Conf. Semantic Web and Web Services | SWWS'13 |

Improving Platform Independent Graphical Performance by

Compressing Information Transfer using JSON

T.H. McMullen and K.A. Hawick

Computer Science, Massey University, North Shore 102-904, Auckland, New Zealand email: timmy361@gmail.com, k.a.hawick@massey.ac.nz

Tel: +64 9 414 0800 Fax: +64 9 441 8181

April 2013

ABSTRACT

Interactive animation and other graphical applications are emerging as viable web services in a number of contexts including gaming and simulation. An important part of the performance tradeoff space is balancing the amount of processing work done on (usually slower) rendering clients against that on (usually faster) servers and therefore also the amount of fully or partially processed data that must be transferred across the network connection.

This is particularly important when tablet computers and other lower end performance clients are used. Portable or platform independent graphics rendering can be achieved using web clients and we present software architectural ideas and prototypes using JSON and WebGL-based technologies and appropriate data compression and partial processing approaches. We give some performance data and a discussion of the implications for future high-performance platform independent graphics.

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Medium 9781601322616

A Semantic Cloud for File System Annotation

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

32

Int'l Conf. Semantic Web and Web Services | SWWS'13 |

A Semantic Cloud for File System Annotation

Tyronda Strong1, Pavani Akundi2

Computer Science and Engineering, Southern Methodist University, Dallas, TX, United States

2

Computer Science and Engineering, Southern Methodist University, Dallas, TX, United States

1

Abstract - There is no standard method to relate topics between documents to retrieve information for a file system.

The amount of data in file systems is on the rise and corporate intranets benefit from annotating their files to improve search performance. Search is affected when employees create new information instead of reusing information that is already available or do not mindfully associate sites, folders, and files within the file system. Creating the semantic cloud for file systems with search patterns in mind improves the value of the data on file servers.

Semantic annotation and meta-tags methods support the creation of networks of files towards information relevancy for meaningful searches.

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Medium 9781601322364

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Computer Design | CDES'13 |

41

Performance Tradeoff Spectrum of Integer and Floating Point

Applications Kernels on Various GPUs

M.G.B. Johnson, D. P. Playne and K.A. Hawick

Computer Science, Massey University, North Shore 102-904, Auckland, New Zealand email: {m.johnson, d.p.playne, k.a.hawick}@massey.ac.nz

Tel: +64 9 414 0800 Fax: +64 9 441 8181

April 2013

ABSTRACT

Floating point precision and performance and the ratio of floating point units to integer processing elements on a graphics processing unit accelerator all continue to present complex tradeoffs for optimising core utilisation on modern devices. We investigate various hybrid CPU and GPU combinations using a range of different GPU models occupying different points in this tradeoff space. We analyse some performance data for a range of numerical simulation kernels and discuss their use as benchmark problems for characterising such devices.

KEY WORDS

MIPS vs FLOPS; computational performance; accelerator; benchmark; GPU.

1

Introduction

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Medium 9781601322616

Session Posters and Short Papers

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF
Medium 9781601322616

Session - Ontologies

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

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