Shoumik Palkar

Matei Zaharia’s research group

Projects

Weld
A runtime for improving the performance of data-intensive applications. It optimizes across libraries and functions by expressing the core computations in libraries using a small common intermediate representation, similar to CUDA and OpenCL.

Palkar, S., Thomas, J., Narayanan, D., Thaker, P., Palamuttam, R., Negi, P., Shanbhag, A., Schwarzkopf, M. ., Pirk, H., Amarasinghe, S., Madden, S., & Zaharia, M. (2018). Evaluating End-to-end Optimization for Data Analytics Applications in Weld. Proceedings of the VLDB Endowment, 11(9), 1002–1015. https://doi.org/10.14778/3213880.3213890
Palkar, S., Thomas, J., Shanbhag, A., Narayanan, D., Pirk, H., Schwarzkopf, M., Amarasinghe, S., & Zaharia, M. (2017). Weld: A Common Runtime for High Performance Data Analytics. 8th Biennial Conference on Innovative Data Systems Research (CIDR ’17).