110 citations · 168 across the 10 of their papers we have counts for
3 papers · 1 filter
BagPipe: Accelerating Deep Recommendation Model Training
Saurabh Agarwal, Chengpo Yan, Ziyi Zhang +1
Deep learning based recommendation models (DLRM) are widely used in several business critical applications. Training such recommendation models efficiently is challenging because t…
On the Utility of Gradient Compression in Distributed Training Systems
Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman +1
A rich body of prior work has highlighted the existence of communication bottlenecks in synchronous data-parallel training. To alleviate these bottlenecks, a long line of recent wo…
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies
Vinay B. Y. Kumar, Pinalkumar Engineer, Mandar Datar +4
The algorithm-to-hardware High-level synthesis (HLS) tools today are purported to produce hardware comparable in quality to handcrafted designs, particularly with user directive dr…