Exposing data-level parallelism in sequential image processing algorithms

Baumstark, Lewis; Wills, Linda M.

doi:10.1109/wcre.2002.1173082

Cited by 11 publications

(9 citation statements)

References 10 publications

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“…Task parallelism is employed in a game engine by executing each module task in its individual thread [12][13][14]. Graphics renderer and physics model are good for laterally analogous because of their processor-severe tasks.…”

Section: A Improving Game Engine Performance In Terms Of Task and Damentioning

confidence: 99%

Comparison between Famous Game Engines and Eminent Games

Mishra¹,

Shrawankar²

2016

IJIMAI

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-Nowadays game engines are imperative for building 3D applications and games. This is for the reason that the engines appreciably reduce resources for employing obligatory but intricate utilities. This paper elucidates about a game engine, popular games developed by these engines and its foremost elements. It portrays a number of special kinds of contemporary game developed by engines in the way of their aspects, procedure and deliberates their stipulations with comparison.Keywords -Game Engine, Non-Cloud Gaming Platforms, Cloud Gaming Platforms, Popular Games, GPGPU I. IntRoductIon I n general, the notion of game engine is very easy to comprehend. It is a platform for performing game related tasks like interpretation, physics related reckoning, and to facilitate developers for focusing on the niceties that make the game inimitable. Engines are in reality an assemblage of reusable modules that can be manipulated in order to carry a game towards realism. Indeed, there are certain disparities between a game and a game engine [1]. Graphics, animation, audio, physics, UI and AI are the major different constituents of an engine. Conversely the subject matter of a game, its definite characters and background, real world avatar and its behaviours etc. are the components that create the real game. Game engines are middleware's.Game engines produce the replication of actual world in the digital world by controlling the elementary physics. Games developed by these engines make user, casual or die-hard player. In general, smartphone operators, as mobile game players, are alike casual gamers rather than die-hard gamers. In contradiction of die-hard gamers, casual gamers are outlined as less dedicated, less spirited, and more tranquil users. Casual gamers incline to be not as much of ardent and less fascinated to classy or multifarious games (comparative to gameplay, achieve target, environs, graphics, chaps, etc.).The market for video games is growing, with sales in 2015 of $91.5 billion marking an 11.84% increase over 2014, at this price global revenues are expected to reach $107 billion in 2017. However, growth is not only in sales but also in the miscellany of matter offered, vacillating from scholastic games to first-person shooters. In addition, a captivating conjunction of mass media is proceeding with video games, having motion picture eminence cut-scenes and voiceover.In a cloud environment, the task of service provider is separated into two: the infrastructure providers managing cloud platforms and rent assets conferring to a usage, and service providers leasing assets from one or more infrastructure providers to assist the users. Lately, a novel type of cloud service has been familiarized, which have the utmost severe exigencies on network Quality of Service (QoS) to date known as cloud gaming. However, in cloud gaming the complete user experience is provided through the network. This creates dissimilarity between cloud gaming and conventional online Gaming in stipulations of network quality of experience...

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Section: A Improving Game Engine Performance In Terms Of Task and Damentioning

confidence: 99%

Comparison between Famous Game Engines and Eminent Games

Mishra¹,

Shrawankar²

2016

IJIMAI

View full text Add to dashboard Cite

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“…Task parallelism is used in a game engine by running each component task in its own thread [25][26][27]. Graphics rendering and physics simulation are good candidates for parallelism because they are usually process-intensive tasks.…”

Section: Task Level Parallelismmentioning

confidence: 99%

GPU Computing to Improve Game Engine Performance

Asaduzzaman

Lee

2014

j.eng.technol.sci.

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Abstract. Although the graphics processing unit (GPU) was originally designed to accelerate the image creation for output to display, today's general purpose GPU (GPGPU) computing offers unprecedented performance by offloading computing-intensive portions of the application to the GPGPU, while running the remainder of the code on the central processing unit (CPU). The highly parallel structure of a many core GPGPU can process large blocks of data faster using multithreaded concurrent processing. A game engine has many "components" and multithreading can be used to implement their parallelism. However, effective implementation of multithreading in a multicore processor has challenges, such as data and task parallelism. In this paper, we investigate the impact of using a GPGPU with a CPU to design high-performance game engines. First, we implement a separable convolution filter (heavily used in image processing) with the GPGPU. Then, we implement a multiobject interactive game console in an eight-core workstation using a multithreaded asynchronous model (MAM), a multithreaded synchronous model (MSM), and an MSM with data parallelism (MSMDP). According to the experimental results, speedup of about 61x and 5x is achieved due to GPGPU and MSMDP implementation, respectively. Therefore, GPGPU-assisted parallel computing has the potential to improve multithreaded game engine performance.

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“…These applications usually have a tremendous potential for parallelism but unfortunately, existing techniques are not adequate for compiling sequential multimedia programs to such parallel architectures. Therefore, some researchers focus on extracting the essential computations and data dependency to ensure that each computation has the data it requires [10,11]. Our research aims to optimize communications of data transaction for sequential multimedia operations.…”

Section: Image Processing Using Sequential Algorithmsmentioning

confidence: 99%

Experiments with a Software Component Enabling NetSolve with Direct Communications in a Non-Intrusive and Incremental Way

Zuo

Lastovetsky

2007

2007 IEEE International Parallel and Distributed Processing Symposium

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The paper presents a software component that enables NetSolve with direct communications between servers in a non-intrusive and incremental way. Non-intrusiveness means that the software component is supplementary, working on top of the original system, which does not change at all. Increment means that the software component does not have to be installed on all computers to enable applications with the new feature. It can be done incrementally, step by step, and the new feature will be enabled in part, with the completeness dependent on how many nodes have been upgraded with the software component. The paper describes the design and implementation of the software component. The paper also reports on experiments with three typical scientific NetSolve applications having different communication structures: (i) protein tertiary structure prediction, (ii) image processing using sequential algorithms, and (iii) the matrix chain product. The presented experimental results show that the performance of these Grid applications can be easily and significantly improved by using the proposed supplementary software component.

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Exposing data-level parallelism in sequential image processing algorithms

Cited by 11 publications

References 10 publications

Comparison between Famous Game Engines and Eminent Games

Comparison between Famous Game Engines and Eminent Games

GPU Computing to Improve Game Engine Performance

Experiments with a Software Component Enabling NetSolve with Direct Communications in a Non-Intrusive and Incremental Way

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