Parallel Computing and Data Intelligence Lab (ParInt lab)
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Dr. Prasad
Find us @ NPB 2.108, 2.208
Recent Publications
Ashan, M. K. Buddhi, Satish Puri, and Sushil K. Prasad. “Extending segment tree for polygon clipping and parallelizing using OpenMP and OpenACC compiler directives.” 53rd International Conference on Parallel Processing (ICPP). 2024
H. Mahmud, P. Kang, K. Desai, P. Lama and S. K. Prasad, "
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
," 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), San Francisco, CA, USA, 2024, pp. 592-599.
Mahmud, Hasanul, et al. "
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder.
" arXiv preprint arXiv:2404.13770 (2024).
Iqrah, Jurdana Masuma, et al. "
A Parallel Workflow for Polar Sea-Ice Classification Using Auto-Labeling of Sentinel-2 Imagery
." 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2024.
Ashan, MK Buddhi, Satish Puri, and Sushil K. Prasad. "
Efficient PRAM and Practical GPU Algorithms for Large Polygon Clipping with Degenerate Cases.
" 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2023.
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