Vijay Thakkar

According to our database, Vijay Thakkar authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light.

Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-Mei Hwu, Ming-Yu Liu, Humphrey Shi

CoRR, April, 2025

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., July, 2024

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.

Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, Tri Dao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Marissa Sorkin, Sudhanshu Agarwal, Richard W. Vuduc, Vijay Thakkar

IEEE Trans. Parallel Distributed Syst., 2022

Exaflops Biomedical Knowledge Graph Analytics.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters.

Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020

Scalable knowledge graph analytics at 136 petaflop/s.

Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok

Proceedings of the International Conference for High Performance Computing, 2020

2018

Conditioning Deep Generative Raw Audio Models for Structured Automatic Music.

Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018