Raveesh Garg

According to our database, Raveesh Garg authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

HARP: A Taxonomy for Heterogeneous and Hierarchical Processors for Mixed-reuse Workloads.

Raveesh Garg, Michael Pellauer, Tushar Krishna

CoRR, February, 2025

Cello: Co-Designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse.

Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects.

Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai

CoRR, 2024

2023

Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA.

Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna

CoRR, 2023

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

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity.

Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna

CoRR, 2022

Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators.

Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators.

Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna

CoRR, 2021