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“Programming GPU Accelerators with Aspects and Code Transformation”,
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“Robust Clustering Analysis for the Management of Self-Monitoring Distributed Systems”,
Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, vol. 12, no. No. 1, pp. 73-85, 2009.
S. Jha, Parashar, M., and Rana, O.,
“Self-Adaptive Architectures for Autonomic Computational Science”,
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L. Zhang, Parashar, M., and Wah, B. W.,
“Shared Memory Multiprocessors”, in
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M. Wang, Klie, H., Parashar, M., and Sudan, H.,
“Solving Sparse Linear Systems on NVIDIA Tesla GPUs”,
Proceeding of the Workshop on Using Emerging Parallel Architectures for Computational Science, in conjunction with the International Conference on Computational Science (ICCS 2009). Springer Verlag, Baton Rouge, Louisiana, USA, 2009.
A. Quiroz, Kim, H., Parashar, M., Gnanasambandam, N., and Sharma, N.,
“Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds”,
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