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Ashish Panwar
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2020 – today
- 2024
- [j2]Deepanjali Mishra, Konstantinos Kanellopoulos, Ashish Panwar, Akshitha Sriraman, Vivek Seshadri, Onur Mutlu, Todd C. Mowry:
Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management. IEEE Comput. Archit. Lett. 23(1): 69-72 (2024) - [j1]Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma:
SIGMA: Secure GPT Inference with Function Secret Sharing. Proc. Priv. Enhancing Technol. 2024(4): 61-79 (2024) - [c10]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
VIDUR: A Large-Scale Simulation Framework for LLM Inference. MLSys 2024 - [c9]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. OSDI 2024: 117-134 - [i8]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. CoRR abs/2403.02310 (2024) - [i7]Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar:
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention. CoRR abs/2405.04437 (2024) - [i6]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
Vidur: A Large-Scale Simulation Framework For LLM Inference. CoRR abs/2405.05465 (2024) - [i5]Aditya K. Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar:
POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference. CoRR abs/2410.18038 (2024) - 2023
- [i4]Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee:
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills. CoRR abs/2308.16369 (2023) - [i3]Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma:
SIGMA: Secure GPT Inference with Function Secret Sharing. IACR Cryptol. ePrint Arch. 2023: 1269 (2023) - 2021
- [c8]Akash Panda, Ashish Panwar, Arkaprava Basu:
nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers. PACT 2021: 258-273 - [c7]Ashish Panwar, Reto Achermann, Arkaprava Basu, Abhishek Bhattacharjee, K. Gopinath, Jayneel Gandhi:
Fast local page-tables for virtualized NUMA servers with vMitosis. ASPLOS 2021: 194-210 - [c6]Venkat Sri Sai Ram, Ashish Panwar, Arkaprava Basu:
Trident: Harnessing Architectural Resources for All Page Sizes in x86 Processors. MICRO 2021: 1106-1120 - 2020
- [c5]Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi:
Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines. ASPLOS 2020: 283-300 - [i2]Venkat Sri Sai Ram, Ashish Panwar, Arkaprava Basu:
Leveraging Architectural Support of Three Page Sizes with Trident. CoRR abs/2011.12092 (2020)
2010 – 2019
- 2019
- [c4]Ashish Panwar, Sorav Bansal, K. Gopinath:
HawkEye: Efficient Fine-grained OS Support for Huge Pages. ASPLOS 2019: 347-360 - [i1]Reto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe, Jayneel Gandhi:
Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines. CoRR abs/1910.05398 (2019) - 2018
- [c3]Ashish Panwar, Aravinda Prasad, K. Gopinath:
Making Huge Pages Actually Useful. ASPLOS 2018: 679-692 - 2016
- [c2]Ashish Panwar, Naman Patel, K. Gopinath:
A Case for Protecting Huge Pages from the Kernel. APSys 2016: 15:1-15:8 - 2015
- [c1]Ashish Panwar, K. Gopinath:
Towards Practical Page Placement for a Green Memory Manager. HiPC 2015: 155-164
Coauthor Index
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last updated on 2024-11-28 21:25 CET by the dblp team
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