11710
E.M. Mahé, J.-M. Chauvet
This paper presents a fast implementation to compute the scalar multiplication of elliptic curve points based on a General-Purpose computing on Graphics Processing Units (GPGPU) approach. A GPU implementation using Dan Bernstein’s Curve25519, an elliptic curve over a 255-bit prime field complying with the new 128-bit security level, computes the scalar multiplication in less than […]
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Lars Struyf, Stijn De Beugher, Dong Hoon Van Uytsel, Frans Kanters, Toon Goedeme
This paper focuses on a thorough comparison of the two main hardware targets for real-time optimization of a computer vision algorithm: GPU and FPGA. Based on a complex case study algorithm for threaded isle detection, implementation on both hardware targets is compared in terms of resulting time performance, code translation effort, hardware cost, power efficiency […]
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Jian Song, Yatao Bian, Junchi Yan, Xu Zhao, Yuncai Liu
In this paper, we present an approach to reconstruct 3-D human motion from multi-cameras and track human skeleton using the reconstructed human 3-D point (voxel) cloud. We use an improved and more robust algorithm, probabilistic shape from silhouette to reconstruct human voxel. In addition, the annealed particle filter is applied for tracking, where the measurement […]
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Saima Haseeb, Mahak Motwani, Amit Saxena
With the rapid growth of Internet, E-mail, with its convenient and efficient characteristics, has become an important means of communication in people’s life. It reduces the cost of communication. It comes with Spam. Spam emails, also known as "junk e-mails", are unsolicited one’s sent in bulk with hidden or forged identity of the sender, address, […]
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Theodore Hilk
Cortical modeling is an area of research seeking to model and simulate the cerebral cortex of the brain, which is of fundamental importance to conscious thought and action. Computational power is a major challenge in this field and the problem is inherently well-suited to SIMD architectures. This suggests the implementation of a general-purpose GPU framework […]
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Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin
Heterogeneous computing system increases the performance of parallel computing in many domain of general purpose computing with CPU, GPU and other accelerators. Open Computing Language (OpenCL) is the first open, royaltyfree standard for heterogenous computing on multi hardware platforms. In this paper, we propose a parallel Motion Estimation (ME) algorithm implemented using OpenCL and present […]
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Vladimir Shumskiy, Alexandre Parshin
We present a comparative study of GPU ray tracing implemented for two different types of ray-triangle intersection algorithms used with BVH (Bounding Volume Hierarchy) spatial data structure evaluated for performance on three static scenes. We study how number of triangles placed in a BVH leaf node affects rendering performance. We propose GPU-optimized SIMD ray-triangle intersection […]
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Ateeq Sharfuddin, Xiaofan Feng
To date, the GPGPU approach has been mainly utilized for academic and scientific computing, for example, for genetic algorithms, image analysis, cryptography, or password cracking. Though video cards supporting GPGPU have become pervasive, there do not appear to be any applications utilizing GPGPU for a household user. In this paper, one consumer application for GPGPU […]
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Varun Sampath
General purpose GPU computation is a fast growing ?eld with a variety of applications. For maximum performance, though, mapping high-level parallel algorithms to vendor hardware requires a solid grasp of both the algorithm’s computational requirements and the microarchitectural limitations of the GPU. This work aims to explore the performance of high and low arithmetic intensity […]

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