Seshadri, Vivek

PipeDream: Fast and Efficient Pipeline Parallel DNN Training

Harlap, A., Narayanan, D., Phanishayee, A., Seshadri, V., Devanur, N., Ganger, G., & Gibbons, P. (2018) · arXiv

Parallel Computing and Optimization TechniquesStochastic Gradient Optimization Techniques

Cited by 153

Compiling KB-sized machine learning models to tiny IoT devices

Gopinath, S., Ghanathe, N., Seshadri, V., & Sharma, R. (2019) · Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation

Numerical Methods and AlgorithmsIoT and Edge/Fog Computing

Cited by 92

Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM

Seshadri, V., Lee, D., Mullins, T., Hassan, H., Boroumand, A., Kim, J., Kozuch, M. A., Mutlu, O., Gibbons, P. B., & Mowry, T. C. (2016) · arXiv

Low-power high-performance VLSI designParallel Computing and Optimization Techniques

Cited by 54

PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data

Watts, I., Gumma, V., Yadavalli, A., Seshadri, V., Swaminathan, M., & Sitaram, S. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 19