• Dharwadkar R and Balakrishnan M. (2025). SPEEDY: SystemC-Based Design Space Exploration Framework for Embedded Systems. VLSI for Embedded Intelligence. 10.1007/978-981-97-3756-7_10. (117-130).

    https://link.springer.com/10.1007/978-981-97-3756-7_10

  • Ci Q, Li H, Yang S and Gao J. (2020). Adaptive and transparent task scheduling of GPU ‐powered clusters . Concurrency and Computation: Practice and Experience. 10.1002/cpe.5793. 34:9. Online publication date: 25-Apr-2022.

    https://onlinelibrary.wiley.com/doi/10.1002/cpe.5793

  • Huang Y, Guo B and Shen Y. GPU Energy Consumption Optimization With a Global-Based Neural Network Method. IEEE Access. 10.1109/ACCESS.2019.2915380. 7. (64303-64314).

    https://ieeexplore.ieee.org/document/8708170/

  • Xie X, Tan W, Fong L and Liang Y. CuMF_SGD. Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing. (79-92).

    https://doi.org/10.1145/3078597.3078602

  • Sengupta D, Song S, Agarwal K and Schwan K. GraphReduce. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. (1-12).

    https://doi.org/10.1145/2807591.2807655

  • Spafford K and Vetter J. (2015). Automated design space exploration with Aspen. Scientific Programming. 2015. (7-7). Online publication date: 1-Jan-2015.

    https://doi.org/10.1155/2015/157305

  • Li B, Song S, Bezakova I and Cameron K. (2013). EDR: An energy-aware runtime load distribution system for data-intensive applications in the cloud 2013 IEEE International Conference on Cluster Computing (CLUSTER). 10.1109/CLUSTER.2013.6702674. 978-1-4799-0898-1. (1-8).

    http://ieeexplore.ieee.org/document/6702674/

  • Li H, Fox G, von Laszewski G and Chauhan A. (2013). Co-processing SPMD computation on CPUs and GPUs cluster 2013 IEEE International Conference on Cluster Computing (CLUSTER). 10.1109/CLUSTER.2013.6702632. 978-1-4799-0898-1. (1-10).

    http://ieeexplore.ieee.org/document/6702632/