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    IJIIP
    2010
    78views more  IJIIP 2010»
    Parallel Implementation of 2D Haar and Daubechies D4 Transform in Mesh Architecture
    13 years 5 months ago
    Parallel Implementation of 2D Haar and Daubechies D4 Transform in Mesh Architecture
    Download  www.humanpub.org
    Jaumin Ajdari
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    MAM
    2010
    121views Communications» more  MAM 2010»
    A high performance ECC hardware implementation with instruction-level parallelism over GF(2163)
    13 years 2 months ago
    A high performance ECC hardware implementation with instruction-level parallelism over GF(2163)
    Download  homepage.usask.ca
    Yu Zhang, Dongdong Chen, Younhee Choi, Li Chen, Se...
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    IACR
    2011
    113views more  IACR 2011»
    Fastplay-A Parallelization Model and Implementation of SMC on CUDA based GPU Cluster Architecture
    12 years 7 months ago
    Fastplay-A Parallelization Model and Implementation of SMC on CUDA based GPU Cluster Architecture
    Download  eprint.iacr.org
    Shi Pu, Pu Duan, Jyh-Charn Liu
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    IPPS
    2009
    IEEE
    78views Distributed And Parallel Com...» more  IPPS 2009»
    Implementing protein seed-based comparison algorithm on the SGI RASC-100 platform
    14 years 2 months ago
    Implementing protein seed-based comparison algorithm on the SGI RASC-100 platform
    Download  www.irisa.fr
    This paper describes a parallel FPGA implementation of a genomic sequence comparison algorithm for finding similarities between a large set of protein sequences and full genomes....
    Van Hoa Nguyen, Alexandre Cornu, Dominique Lavenie...
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    IPPS
    1999
    IEEE
    139views Distributed And Parallel Com...» more  IPPS 1999»
    An Adaptive, Fault-Tolerant Implementation of BSP for JAVA-Based Volunteer Computing Systems
    13 years 12 months ago
    An Adaptive, Fault-Tolerant Implementation of BSP for JAVA-Based Volunteer Computing Systems
    Download  ipdps.cc.gatech.edu
    Abstract. In recent years, there has been a surge of interest in Javabased volunteer computing systems, which aim to make it possible to build very large parallel computing network...
    Luis F. G. Sarmenta
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