A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. - Raveesh Garg; Eric Qin 001; Francisco Muñoz-Martínez; Robert Guirado; Akshay Jain 001; Sergi Abadal; José L. Abellán; Manuel E. Acacio; Eduard Alarcón; Sivasankaran Rajamanickam; Tushar Krishna (CoRR, 2021)

Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. - Raveesh Garg; Eric Qin 001; Francisco Muñoz-Martínez; Robert Guirado; Akshay Jain 001; Sergi Abadal; José L. Abellán; Manuel E. Acacio; Eduard Alarcón; Sivasankaran Rajamanickam; Tushar Krishna (IPDPS, 2022)

Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. - Eric Qin 001; Raveesh Garg; Abhimanyu Bambhaniya; Michael Pellauer; Angshuman Parashar; Sivasankaran Rajamanickam; Cong Hao; Tushar Krishna (CoRR, 2022)

Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. - Francisco Muñoz-Martínez; Raveesh Garg; Michael Pellauer; José L. Abellán; Manuel E. Acacio; Tushar Krishna (ASPLOS (3), 2023)

Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA. - Raveesh Garg; Michael Pellauer; Sivasankaran Rajamanickam; Tushar Krishna (CoRR, 2023)

PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. - Raveesh Garg; Hyoukjun Kwon; Eric Qin 001; Yu-Hsin Chen; Tushar Krishna; Liangzhen Lai (CoRR, 2024)

Cello: Co-Designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse. - Raveesh Garg; Michael Pellauer; Sivasankaran Rajamanickam; Tushar Krishna (IPDPS, 2025)

HARP: A Taxonomy for Heterogeneous and Hierarchical Processors for Mixed-reuse Workloads. - Raveesh Garg; Michael Pellauer; Tushar Krishna (CoRR, 2025)