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Energy efficient biomolecular simulations with FPGA-based reconfigurable computing.

, , , , and . Conf. Computing Frontiers, page 83-84. ACM, (2010)

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GPU Implementation of Pairwise Gaussian Mixture Models for Multi-Modal Gene Co-Expression Networks., , , , and . IEEE Access, (2019)A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters., , , and . Concurr. Comput. Pract. Exp., 26 (2): 532-560 (2014)A comparative study of GPU programming models and architectures using neural networks., , and . J. Supercomput., 61 (3): 673-718 (2012)Simulative analysis of dynamic scheduling heuristics for reconfigurable computing of parallel applications., , , and . FPGA, page 230. ACM, (2006)Massive-scale gene co-expression network construction and robustness testing using random matrix theory., , , , , and . PloS one, 8 (2): e55871+ (Feb 7, 2013)Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems., , , and . IEEE Big Data, page 3146-3152. IEEE, (2022)Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing., , , , , , , , , and 1 other author(s). IEEE BigData, page 3144-3152. IEEE, (2018)Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments., , , , , , , , , and 3 other author(s). IJCNN, page 1-8. IEEE, (2021)Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT)., , and . SC Workshops, page 281-288. ACM, (2023)Generalized Value Iteration Networks: Life Beyond Lattices., , , , , and . AAAI, page 6246-6253. AAAI Press, (2018)