Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. - Rachel Manzelli; Vijay Thakkar; Ali Siahkamari; Brian Kulis (ISMIR, 2018)

Scalable knowledge graph analytics at 136 petaflop/s. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Drahomira Herrmannova; Vijay Thakkar; Robert M. Patton; Richard W. Vuduc; Thomas E. Potok (SC, 2020)

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. - Piyush Sao; Hao Lu 001; Ramakrishnan Kannan; Vijay Thakkar; Richard W. Vuduc; Thomas E. Potok (HPDC, 2021)

Exaflops Biomedical Knowledge Graph Analytics. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Jakub Kurzak; Gundolf Schenk; Yongmei Shi; Seung-Hwan Lim; Sharat Israni; Vijay Thakkar; Guojing Cong; Robert M. Patton; Sergio E. Baranzini; et al. (SC, 2022)

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Georgia Tech. - Nicole Prindle; Ali Kazmi; Aman Jain; Albert Chen 003; Marissa Sorkin; Sudhanshu Agarwal; Richard W. Vuduc; Vijay Thakkar (IEEE Trans. Parallel Distributed Syst., 2022)

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision. - Jay Shah; Ganesh Bikshandi; Ying Zhang; Vijay Thakkar; Pradeep Ramani; Tri Dao (NeurIPS, 2024)

fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. - Francis Williams; Jiahui Huang; Jonathan Swartz; Gergely Klár; Vijay Thakkar; Matthew Cong; Xuanchi Ren; Ruilong Li; Clement Fuji-Tsang; Sanja Fidler; Eftychios Sifakis; Ken Museth (ACM Trans. Graph., 2024)

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. - Ali Hassani 001; Fengzhe Zhou; Aditya Kane; Jiannan Huang 002; Chieh-Yun Chen; Min Shi; Steven Walton 001; Markus Hoehnerbach; Vijay Thakkar; Michael Isaev; Qinsheng Zhang; Bing Xu; et al. (CoRR, 2025)