Pratiksha Thaker

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.

Contact

Publications

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