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Raveesh Garg
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Understanding the design-space of sparse/dense multiphase gnn dataflows on spatial accelerators
R Garg, E Qin, F Muñoz-Matrínez, R Guirado, A Jain, S Abadal, ...
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
28*2022
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
F Muñoz-Martínez, R Garg, M Pellauer, JL Abellán, ME Acacio, T Krishna
Proceedings of the 28th ACM International Conference on Architectural …, 2023
172023
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity
E Qin, R Garg, A Bambhaniya, M Pellauer, A Parashar, S Rajamanickam, ...
arXiv preprint arXiv:2201.08916, 2022
82022
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA
R Garg, M Pellauer, S Rajamanickam, T Krishna
arXiv preprint arXiv:2303.11499, 2023
2023
Understanding the Design Space of Dataflows for Graph Neural Network Accelerators
R Garg
Georgia Institute of Technology, 2021
2021
A High-Speed Pipelined Architecture for Block Motion Estimation Using Hexagon-Based Search Algorithm
R Garg, KBR Teja
2018 15th IEEE India Council International Conference (INDICON), 1-4, 2018
2018
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Articles 1–6