34 citations · 104 across the 11 of their papers we have counts for
6 papers · 1 filter
Rightsizing Clusters for Time-Limited Tasks
Venkatesan T. Chakaravarthy, Padmanabha V. Seshadri, Pooja Aggarwal +4
In conventional public clouds, designing a suitable initial cluster for a given application workload is important in reducing the computational foot-print during run-time. In edge…
Efficient Scaling of Dynamic Graph Neural Networks
Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje +3
We present distributed algorithms for training dynamic Graph Neural Networks (GNN) on large scale graphs spanning multi-node, multi-GPU systems. To the best of our knowledge, this…
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
Venkatesan T. Chakaravarthy, Jee W. Choi, Douglas J. Joseph +4
The Tucker decomposition generalizes the notion of Singular Value Decomposition (SVD) to tensors, the higher dimensional analogues of matrices. We study the problem of constructing…
On Optimizing Distributed Tucker Decomposition for Dense Tensors
Venkatesan T Chakaravarthy, Jee W Choi, Douglas J Joseph +4
The Tucker decomposition expresses a given tensor as the product of a small core tensor and a set of factor matrices. Apart from providing data compression, the construction is use…
Subgraph Counting: Color Coding Beyond Trees
Venkatesan T. Chakaravarthy, Michael Kapralov, Prakash Murali +4
The problem of counting occurrences of query graphs in a large data graph, known as subgraph counting, is fundamental to several domains such as genomics and social network analysi…
Mapping Strategies for the PERCS Architecture
Venkatesan T. Chakaravarthy, Naga Praveen Kumar Katta, Monu Kedia +3
The PERCS system was designed by IBM in response to a DARPA challenge that called for a high-productivity high-performance computing system. The IBM PERCS architecture is a two lev…