12887
Jie Zhu, Hai Jiang, Juanjuan Li, Erikson Hardesty, Kuan-Ching Li, Zhongwen Li
As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems. To tackle with all of them without sacrificing performance, traditional approaches in resource utilization, task scheduling and programming paradigm should be reconsidered. While Hadoop has handled data-intensive applications well […]
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Aamir Shafi, Aleem Akhtar, Ansar Javed, Bryan Carpenter
This paper presents an overview of the "Applied Parallel Computing" course taught to final year Software Engineering undergraduate students in Spring 2014 at NUST, Pakistan. The main objective of the course was to introduce practical parallel programming tools and techniques for shared and distributed memory concurrent systems. A unique aspect of the course was that […]
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Mathias Bourgoin, Emmanuel Chailloux
We present WebSpoc, an OCaml GPGPU library targeting web applications that is built upon SPOC and js_of_ocaml. SPOC is an OCaml GPGPU library focusing on abstracting memory transfers, handling GPGPU computations and offering easy portability. Js_of_ocaml is the OCaml byte-code to JavaScript compiler. Thus, WebSpoc provides high performance computations from the web browser while benefiting […]
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Robin Kumar, Amandeep Kaur Cheema
Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. Neural network is the well-known branch of machine learning & it has been used extensively by researchers for prediction of data and the prediction accuracy depends upon fine tuning of particular financial data. In this paper […]
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D.William Albert, K.Fayaz, D.Veerabhadra Babu
Apriori-Based algorithms are widely used for association rule mining. However, these algorithms cannot exploit the parallel processing power of modern GPU (Graphics Processing Unit). To make an algorithm to be compatible with GPU, it needs to be changed in representation of data, parallel processing and also in support count. In this paper we propose an […]
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Oren Segal, Martin Margala, Sai Rahul Chalamalasetti, Mitch Wright
This work presents an effort to bridge the gap between abstract high level programming and OpenCL by extending an existing high level Java programming framework (APARAPI), based on OpenCL, so that it can be used to program FPGAs at a high level of abstraction and increased ease of programmability. We run several real world algorithms […]
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D.William Albert, Dr.K.Fayaz, D.Veerabhadra Babu
Frequent pattern mining is one of the widely used data mining techniques for discovering trends or patterns from databases. As data is growing in exponential pace, data mining activities need more powerful computing. Fortunately modern GPUs (Graphics Processing Units) have specialized electronic circuits and support parallel processing. GPUs are capable of processing huge amount of […]
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Faiz Khan, Vincent Foley-Bourgon, Sujay Kathrotia, Erick Lavoie, Laurie Hendren
From its modest beginnings as a tool to validate forms, JavaScript is now an industrial-strength language used to power online applications such as spreadsheets, IDEs, image editors and even 3D games. Since all modern web browsers support JavaScript, it provides a medium that is both easy to distribute for developers and easy to access for […]
Yichao Zhou, Wei Xu, Bruce R. Donald, Jianyang Zeng
MOTIVATION: Structure-based computational protein design (SCPR) is an important topic in protein engineering. Under the assumption of a rigid backbone and a finite set of discrete conformations of side-chains, various methods have been proposed to address this problem. A popular method is to combine the dead-end elimination (DEE) and A* tree search algorithms, which provably […]
Tiago Augusto Engel, Andrea Schwertner Charao, Manuele Kirsch-Pinheiro, Luiz-Angelo Steffenel
Data mining tools may be computationally demanding, so there is an increasing interest on parallel computing strategies to improve their performance. The popularization of Graphics Processing Units (GPUs) increased the computing power of current desktop computers, but desktop-based data mining tools do not usually take full advantage of these architectures. This paper exploits an approach […]
Frank Curtis Albert
Ever since chip manufacturers hit the power wall preventing them from increasing processor clock speed, there has been an increased push towards parallelism for performance improvements. This parallelism comes in the form of both data parallel single instruction multiple data (SIMD) instructions, as well as parallel compute cores in both central processing units (CPUs) and […]
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Leonard Weydemann
This project’s aim is to find a WebGL based alternative to the Java implementation of OpenPixi, a Java-based Particle-in-Cell (PIC) simulation software, and to add a third dimension. For this purpose, an existing JavaScript library, three.js, was chosen. A handful of approaches are explored and the resulting prototypes are then compared in terms of speed, […]
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