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Prasann Choudhari, Eikshith Baikampadi, Paresh Patil, Sanket Gadekar
The internet is a huge collection of websites in the order of 10^8 bytes. Around 90% of the world’s population uses search engines for getting relevant information. According to Wikipedia, more than 200 million Indians use the Internet every day. Thus the correct data retrieval least time domain is the most important task. Hence need […]
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Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood
There have been a number of research proposals to use discrete graphics processing units (GPUs) to accelerate database operations. Although many of these works show up to an order of magnitude performance improvement, discrete GPUs are not commonly used in modern database systems. However, there is now a proliferation of integrated GPUs which are on […]
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Yida Wang, Michael Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Ted Willke
Full correlation matrix analysis (FCMA) is an unbiased approach for exhaustively studying interactions among brain regions in functional magnetic resonance imaging (fMRI) data from human participants. In order to answer neuro-scientific questions efficiently, we are developing a closedloop analysis system with FCMA on a cluster of nodes with Intel Xeon Phi coprocessors. We have proposed […]
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C. F. Janssen, N. Koliha, T. Rung
This paper presents a fast surface voxelization technique for the mapping of tessellated triangular surface meshes to uniform and structured grids that provide a basis for CFD simulations with the lattice Boltzmann method (LBM). The core algorithm is optimized for massively parallel execution on graphics processing units (GPUs) and is based on a unique dissection […]
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Jie Wang, Yanshuo Yu, Hang Cui, Shenglai Yang
GPU programming model for general purpose computing is complex and difficult to be maintained. A MapReduce acceleration framework named MRCUDA is designed and implemented in this paper. There are four loosely coupled stages in MRCUDA, including Pre-Processing, Map, Group and Reduce, which can support flexible configurations for different applications. In order to take full advantage […]
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Nasser Alqudami, Shin-Dug Kim
Discrete cosine transform (DCT) is one of the major operations in image compression standards and it requires intensive and complex computations. Recent computer systems and handheld devices are equipped with high computing capability devices such as a general-purpose graphics processing unit (GPGPU) in addition to the traditional multicores CPU. We develop an optimized parallel implementation […]
William B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman
We genetically improve BarraCUDA using a BNF grammar incorporating C scoping rules with GP. Barracuda maps next generation DNA sequences to the human genome using the Burrows-Wheeler algorithm (BWA) on nVidia Tesla parallel graphics hardware (GPUs). GI using phenotypic tabu search with manually grown code can graft new features giving more than 100 fold speed […]
Amin Jarrah
The applications of digital signal processing continue to expand and use in many different areas such as signal processing, radar tracking, image processing, medical imaging, video broadcasting, and control algorithms for sensor array processing. Most of the signal processing applications are intensive and may not achieve the real time requirements. However, the Multi-core phenomenon has […]
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Francois Lehericey, Valerie Gouranton, Bruno Arnaldi
Ray-tracing algorithms can be used to render a virtual scene and to detect collisions between objects. Numerous ray-tracing algorithms have been proposed which use data structures optimized for specific cases (rigid objects, deformable objects, etc.). Some solutions try to optimize performance by combining several algorithms to use the most efficient algorithm for each ray. This […]
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Sagi Shahar, Mark Silberstein
Accelerating processing of very large datasets on GPUs is challenging, in particular when algorithms exhibit unpredictable data access patterns. In this paper we investigate the utility of GPUfs, a library that provides direct access to files from GPU programs, to implement such algorithms. We analyze the system’s bottlenecks, and suggest several modification to the GPUfs […]
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Eric Lombardi, Christian Wolf, Oya Celiktutan, Bulent Sankur
In this paper, we propose a method for activity recognition from videos based on sparse local features and hypergraph matching. We benefit from special properties of the temporal domain in the data to derive a sequential and fast graph matching algorithm for GPUs. Traditionally, graphs and hypergraphs are frequently used to recognize complex and often […]
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Chun-Meng Kang, Lu Wang, Pei Wang, Yan-Ning Xu, Xiang-Xu Meng
Photon mapping is a global illumination algorithm which is composed of two steps: photon tracing and photon searching. During photon searching step, each shading point needs to search the photon-tree to find k-neighbouring photons for reflected radiance estimation. As the number of shading points and the size of photon-tree are dramatically large, the photon searching […]
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