| 2024 | HiPC | HiPC 2024 WORKSHOP 3: 1st Workshop on AI for Scientific and General Purpose Computing (AI-SPC 2024). | Subhasis Banerjee, Pradeep Rao |
| 2024 | HiPC | FNOPerf: A Robust Empirical Model for Predicting LLM Performance. | Mitali Sinha, Lalson Vincent, Mudit Sand, Subhasis Banerjee |
| 2022 | COMAD | Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow. | Subhasis Banerjee, Aniruddha Panda, Saurabh Chawdhary, Pandu Devarakota |
| 2014 | CNSM | Tag-In-Tag: Efficient flow table management in SDN switches. | Subhasis Banerjee, Kalapriya Kannan |
| 2014 | ICDCN | FlowMaster: Early Eviction of Dead Flow on SDN Switches. | Kalapriya Kannan, Subhasis Banerjee |
| 2013 | ICDCN | Compact TCAM: Flow Entry Compaction in TCAM for Power Aware SDN. | Kalapriya Kannan, Subhasis Banerjee |
| 2012 | CNSM | Scissors: Dealing with header redundancies in data centers through SDN. | Kalapriya Kannan, Subhasis Banerjee |
| 2007 | ASPDAC | Program Phase Directed Dynamic Cache Way Reconfiguration for Power Efficiency. | Subhasis Banerjee, G. Surendra, S. K. Nandy |
| 2004 | ASPDAC | Exploiting program execution phases to trade power and performance for media workload. | Subhasis Banerjee, G. Surendra, S. K. Nandy |
| 2004 | ASPDAC | Power-performance trade-off using pipeline delays. | G. Surendra, Subhasis Banerjee, S. K. Nandy |
| 2003 | DATE | Enhancing Speedup in Network Processing Applications by Exploiting Instruction Reuse with Flow Aggregation. | G. Surendra, Subhasis Banerjee, S. K. Nandy |