2 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
RTP: Rethinking Tensor Parallelism with Memory Deduplication
Cheng Luo, Tianle Zhong, Geoffrey Fox
In the evolving landscape of neural network models, one prominent challenge stand out: the significant memory overheads associated with training expansive models. Addressing this c…
Supercharging Distributed Computing Environments For High Performance Data Engineering
Niranda Perera, Kaiying Shan, Supun Kamburugamuwe +7
The data engineering and data science community has embraced the idea of using Python & R dataframes for regular applications. Driven by the big data revolution and artificial inte…
Hybrid Cloud and HPC Approach to High-Performance Dataframes
Kaiying Shan, Niranda Perera, Damitha Lenadora +6
Data pre-processing is a fundamental component in any data-driven application. With the increasing complexity of data processing operations and volume of data, Cylon, a distributed…