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Full-Text Articles in Computer Engineering
Exploiting Matrix Symmetry To Improve Fpgaaccelerated Conjugate Gradient, Jason D. Bakos, Krishna K. Nagar
Exploiting Matrix Symmetry To Improve Fpgaaccelerated Conjugate Gradient, Jason D. Bakos, Krishna K. Nagar
Faculty Publications
In this paper we describe a new approach for accelerating the Conjugate Gradient (CG) method using an FPGA co-processor. As in previous approaches, our co-processor performs a double-precision sparse matrix-vector multiplication. However, our implementation doubles the amount of computation per unit of input data by exploiting the symmetry of the input matrix and computing the upper and lower triangle of the input matrix in parallel. Using a Virtex-2 Pro 100 FPGA, we have achieved an observed computational throughput of 1155 MFLOPS.
Agents And Service-Oriented Computing For Autonomic Computing: A Research Agenda, Frances M.T. Brazier, Jeffrey O. Kephart, H. Van Dyke Parunak, Michael N. Huhns
Agents And Service-Oriented Computing For Autonomic Computing: A Research Agenda, Frances M.T. Brazier, Jeffrey O. Kephart, H. Van Dyke Parunak, Michael N. Huhns
Faculty Publications
Autonomic computing is the solution proposed to cope with the complexity of today's computing environments. Self-management, an important element of autonomic computing, is also characteristic of single and multiagent systems, as well as systems based on service-oriented architectures. Combining these technologies can be profitable for all - in particular, for the development of autonomic computing systems.