Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Acceleration of a 2D-FFT on an Adaptable Computing Cluster
FCCM '01 Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Parallel application performance on shared high performance reconfigurable computing resources
Performance Evaluation - Performance modelling and evaluation of high-performance parallel and distributed systems
On incorporating differentiated levels of network service into GridSim
Future Generation Computer Systems
FPGA architecture for fast parallel computation of co-occurrence matrices
Microprocessors & Microsystems
RECONFIG '09 Proceedings of the 2009 International Conference on Reconfigurable Computing and FPGAs
Architecture and implementation of a distributed reconfigurable metacomputer
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
A Theoretical Comparison of Texture Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Collaboration of reconfigurable processors in grid computing: Theory and application
Future Generation Computer Systems
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Multimedia applications are multi-standard, multi-format, and compute-intensive These features in addition to a large set of input and output data lead to that some architectures such as application-specific integrated circuits and general-purpose processors are less suitable to process multimedia applications Therefore, reconfigurable processors are considered as an alternative approach to develop systems to process multimedia applications efficiently In this paper, we propose and simulate collaboration of reconfigurable processors in grid computing Collaborative Reconfigurable Grid Computing (CRGC) employs the availability of any reconfigurable processor to accelerate compute-intensive applications such as multimedia kernels We explore the mapping of some compute-intensive multimedia kernels such as the 2D DWT and the co-occurrence matrix in CRGC These multimedia kernels are simulated as a set of gridlets submitted to a software simulator called CRGridSim In addition, the behavior of multimedia kernels in the CRGC environment is presented The experimental results show that the CRGC approach improves performance of up to 7.2x and 2.5x compared to a GPP and the collaboration of GPPs, respectively, when assuming the speedup of reconfigurable processors 10.