Ashish Panwar

Principal Researcher

Papiers de Collaboration

Afficher par:

- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Projet
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Projet
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication Projet
- VIDUR: A Large-Scale Simulation Framework for LLM Inference
  
  Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov
  
  MLSys | May 2024
  
  PDF Github Projet
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Projet
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Projet
- Trident: Harnessing Architectural Resources for All Page Sizes in x86 Processors
  
  Ashish Panwar, Venkat Sri Sai Ram, Arkaprava Basu
  
  2021 International Symposium on Microarchitecture | October 2021
  
  DOI PDF Publication
- nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers
  
  Akash Panda, Ashish Panwar, Arkaprava Basu
  
  2021 International Conference on Parallel Architectures and Compilation Techniques | August 2021
  
  DOI PDF Publication
- Fast Local Page-Tables for Virtualized NUMA Servers with vMitosis
  
  Ashish Panwar, Reto Achermann, Arkaprava Basu, Abhishek Bhattacharjee, K. Gopinath, Jayneel Gandhi
  
  2021 Architectural Support for Programming Languages and Operating Systems | April 2021
  
  DOI PDF Publication
- Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines
  
  Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi
  
  2020 Architectural Support for Programming Languages and Operating Systems | March 2020
  
  DOI PDF Publication
- HawkEye: Efficient Fine-grained OS Support for Huge Pages
  
  Ashish Panwar, Sorav Bansal, K. Gopinath
  
  2019 Architectural Support for Programming Languages and Operating Systems | April 2019
  
  DOI PDF Publication
- Making Huge Pages Actually Useful
  
  Ashish Panwar, Aravinda Prasad, K. Gopinath
  
  2018 Architectural Support for Programming Languages and Operating Systems | March 2018
  
  DOI PDF Publication
- A Case for Protecting Huge Pages from the Kernel
  
  Ashish Panwar, Naman Patel, K. Gopinath
  
  2016 Asia-Pacific Workshop on Systems | August 2016
  
  DOI PDF Publication
- Towards Practical Page Placement for a Green Memory Manager
  
  Ashish Panwar, K. Gopinath
  
  2015 IEEE International Conference on High Performance Computing, Data, and Analytics | December 2015
  
  DOI PDF Publication

- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Projet
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Projet
- VIDUR: A Large-Scale Simulation Framework for LLM Inference
  
  Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov
  
  MLSys | May 2024
  
  PDF Github Projet
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Projet
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Projet
- Trident: Harnessing Architectural Resources for All Page Sizes in x86 Processors
  
  Ashish Panwar, Venkat Sri Sai Ram, Arkaprava Basu
  
  2021 International Symposium on Microarchitecture | October 2021
  
  DOI PDF Publication
- nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers
  
  Akash Panda, Ashish Panwar, Arkaprava Basu
  
  2021 International Conference on Parallel Architectures and Compilation Techniques | August 2021
  
  DOI PDF Publication
- Fast Local Page-Tables for Virtualized NUMA Servers with vMitosis
  
  Ashish Panwar, Reto Achermann, Arkaprava Basu, Abhishek Bhattacharjee, K. Gopinath, Jayneel Gandhi
  
  2021 Architectural Support for Programming Languages and Operating Systems | April 2021
  
  DOI PDF Publication
- Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines
  
  Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi
  
  2020 Architectural Support for Programming Languages and Operating Systems | March 2020
  
  DOI PDF Publication
- HawkEye: Efficient Fine-grained OS Support for Huge Pages
  
  Ashish Panwar, Sorav Bansal, K. Gopinath
  
  2019 Architectural Support for Programming Languages and Operating Systems | April 2019
  
  DOI PDF Publication
- Making Huge Pages Actually Useful
  
  Ashish Panwar, Aravinda Prasad, K. Gopinath
  
  2018 Architectural Support for Programming Languages and Operating Systems | March 2018
  
  DOI PDF Publication
- A Case for Protecting Huge Pages from the Kernel
  
  Ashish Panwar, Naman Patel, K. Gopinath
  
  2016 Asia-Pacific Workshop on Systems | August 2016
  
  DOI PDF Publication
- Towards Practical Page Placement for a Green Memory Manager
  
  Ashish Panwar, K. Gopinath
  
  2015 IEEE International Conference on High Performance Computing, Data, and Analytics | December 2015
  
  DOI PDF Publication
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication Projet

- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Projet
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Projet
- SIGMA: Secure GPT Inference with Function Secret Sharing
  
  Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma
  
  Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024
  
  Publication Projet
- VIDUR: A Large-Scale Simulation Framework for LLM Inference
  
  Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov
  
  MLSys | May 2024
  
  PDF Github Projet
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Projet
- Trident: Harnessing Architectural Resources for All Page Sizes in x86 Processors
  
  Ashish Panwar, Venkat Sri Sai Ram, Arkaprava Basu
  
  2021 International Symposium on Microarchitecture | October 2021
  
  DOI PDF Publication
- nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers
  
  Akash Panda, Ashish Panwar, Arkaprava Basu
  
  2021 International Conference on Parallel Architectures and Compilation Techniques | August 2021
  
  DOI PDF Publication
- Fast Local Page-Tables for Virtualized NUMA Servers with vMitosis
  
  Ashish Panwar, Reto Achermann, Arkaprava Basu, Abhishek Bhattacharjee, K. Gopinath, Jayneel Gandhi
  
  2021 Architectural Support for Programming Languages and Operating Systems | April 2021
  
  DOI PDF Publication
- Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines
  
  Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi
  
  2020 Architectural Support for Programming Languages and Operating Systems | March 2020
  
  DOI PDF Publication
- HawkEye: Efficient Fine-grained OS Support for Huge Pages
  
  Ashish Panwar, Sorav Bansal, K. Gopinath
  
  2019 Architectural Support for Programming Languages and Operating Systems | April 2019
  
  DOI PDF Publication
- Making Huge Pages Actually Useful
  
  Ashish Panwar, Aravinda Prasad, K. Gopinath
  
  2018 Architectural Support for Programming Languages and Operating Systems | March 2018
  
  DOI PDF Publication
- A Case for Protecting Huge Pages from the Kernel
  
  Ashish Panwar, Naman Patel, K. Gopinath
  
  2016 Asia-Pacific Workshop on Systems | August 2016
  
  DOI PDF Publication
- Towards Practical Page Placement for a Green Memory Manager
  
  Ashish Panwar, K. Gopinath
  
  2015 IEEE International Conference on High Performance Computing, Data, and Analytics | December 2015
  
  DOI PDF Publication
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Projet