Esha Choukse

According to our database, Esha Choukse authored at least 44 papers between 2016 and 2026.

Collaborative distances:

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

2026

Natural Language Query to Configuration for Retrieval Agents.

Melissa Z. Pan, Negar Arabzadeh, Mathew Jacob, Fiodar Kazhamiaka, Esha Choukse, Matei Zaharia

CoRR, May, 2026

StreamWise: Serving Multi-Modal Generation in Real-Time at Scale.

Haoran Qiu, Gohar Irfan Chaudhry, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Rodrigo Fonseca, Ricardo Bianchini

CoRR, March, 2026

DroidSpeak: KV Cache Sharing Across Fine-tuned Model Variants.

Yuhan Liu, Yuyang Huang, Jiayi Yao, Shaoting Feng, Zhuohan Gu, Kuntai Du, Hanchen Li, Yihua Cheng, Junchen Jiang, Shan Lu, Madan Musuvathi, Esha Choukse

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Harvesting Spare CPU Resources in Container Systems.

Adam Hall, Anirudh Sarma, Esha Choukse, Umakishore Ramachandran, Sameh Elnikety

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

Sherlock: Reliable and Efficient Agentic Workflow Execution.

Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse

CoRR, November, 2025

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute.

Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres

CoRR, September, 2025

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms.

Gohar Irfan Chaudhry, Esha Choukse, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini

CoRR, August, 2025

Power Stabilization for AI Training Datacenters.

Esha Choukse, Brijesh Warrier, Scot Heath, Luz Belmont, April Zhao, Hassan Ali Khan, Brian Harry, Matthew Kappel, Russell J. Hewett, Kushal Datta, Yu Pei, Caroline Lichtenberger, John Siegler, David Lukofsky, Zaid Kahn, Gurpreet Sahota, Andy Sullivan, Charles Frederick, Hien Thai, Rebecca Naughton, Daniel Jurnove, Justin Harp, Reid Carper, Nithish Mahalingam, Srini Varkala, Alok Gautam Kumbhare, Satyajit Desai, Venkatesh Ramamurthy, Praneeth Gottumukkala, Girish Bhatia, Kelsey Wildstone, Laurentiu Olariu, Ileana Incorvaia, Alex Wetmore, Prabhat Ram, Melur Raghuraman, Mohammed Ayna, Mike Kendrick, Ricardo Bianchini, Aaron Hurst, Reza Zamani, Xin Li, Michael Petrov, Gene Oden, Rory Carmichael, Tom Li, Apoorv Gupta, Pratikkumar Patel, Nilesh Dattani, Lawrence Marwong, Rob Nertney, Hirofumi Kobayashi, Jeff Liott, Miro Enev, Divya Ramakrishnan, Ian Buck, Jonah Alben

CoRR, August, 2025

EcoServe: Designing Carbon-Aware AI Inference Systems.

Yueying Li, Zhanqiu Hu, Esha Choukse, Rodrigo Fonseca, G. Edward Suh, Udit Gupta

CoRR, February, 2025

Towards Efficient Large Multimodal Model Serving.

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

CoRR, February, 2025

Enabling Sustainable Cloud Computing With Low-Carbon Server Design.

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

IEEE Micro, 2025

Splitwise: Efficient Generative LLM Inference Using Phase Splitting.

Esha Choukse, Pratyush Patel, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Rodrigo Fonseca, Ricardo Bianchini

IEEE Micro, 2025

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency.

Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, Esha Choukse

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Towards Resource-Efficient Compound AI Systems.

Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini

Proceedings of the 2025 Workshop on Hot Topics in Operating Systems, 2025

Performance Aware LLM Load Balancer for Mixed Workloads.

Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency.

Colin Hong, Xu Guo, Anand Chaanan Singh, Esha Choukse, Dmitrii Ustiugov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving.

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

Proceedings of the 2025 ACM Symposium on Cloud Computing, 2025

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms.

Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Haoran Qiu, Rodrigo Fonseca, Josep Torrellas, Ricardo Bianchini

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

DroidSpeak: Enhancing Cross-LLM Communication.

Yuhan Liu, Esha Choukse, Shan Lu, Junchen Jiang, Madan Musuvathi

CoRR, 2024

Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations.

Amey Agrawal, Junda Chen, Íñigo Goiri, Ramachandran Ramjee, Chaojie Zhang, Alexey Tumanov, Esha Choukse

CoRR, 2024

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling.

Kunal Jain, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, 2024

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference.

Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Josep Torrellas

CoRR, 2024

Junctiond: Extending FaaS Runtimes with Kernel-Bypass.

Enrique Saurez, Joshua Fried, Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri, Sameh Elnikety, Adam Belay, Rodrigo Fonseca

CoRR, 2024

Input-Dependent Power Usage in GPUs.

Theo Gregersen, Pratyush Patel, Esha Choukse

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Making Kernel Bypass Practical for the Cloud with Junction.

Joshua Fried, Gohar Irfan Chaudhry, Enrique Saurez, Esha Choukse, Íñigo Goiri, Sameh Elnikety, Rodrigo Fonseca, Adam Belay

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Mosaic: Harnessing the Micro-Architectural Resources of Servers in Serverless Environments.

Jovan Stojkovic, Esha Choukse, Enrique Saurez, Íñigo Goiri, Josep Torrellas

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Memory Allocation Under Hardware Compression.

Muhammad Laghari, Yuqing Liu, Gagandeep Panwar, David Bears, Chandler Jearls, Raghavendra Srinivas, Esha Choukse, Kirk W. Cameron, Ali Raza Butt, Xun Jian

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Designing Cloud Servers for Lower Carbon.

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud.

Jovan Stojkovic, Pulkit A. Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Splitwise: Efficient Generative LLM Inference Using Phase Splitting.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

DyLeCT: Achieving Huge-page-like Translation Performance for Hardware-compressed Memory.

Gagandeep Panwar, Muhammad Laghari, Esha Choukse, Xun Jian

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Characterizing Power Management Opportunities for LLMs in the Cloud.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Optimizing GPU Data Center Power.

Tawfik Rahal-Arabi, Paul Van der Arend, Ashish Jain, Mehdi Saidi, Rashad Oreifej, Sriram Sundaram, Srilatha Manne, Indrani Paul, Rajit Seahra, Frank Helms, Esha Choukse, Nithish Mahalingam, Brijesh Warrier, Ricardo Bianchini

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2024

2023

POLCA: Power Oversubscription in LLM Cloud Providers.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini

CoRR, 2023

Towards Improved Power Management in Cloud GPUs.

Pratyush Patel, Zibo Gong, Syeda Rizvi, Esha Choukse, Pulkit A. Misra, Thomas E. Anderson, Akshitha Sriraman

IEEE Comput. Archit. Lett., 2023

Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms.

Jialun Lyu, Jaylen Wang, Kali Frost, Chaojie Zhang, Celine Irvene, Esha Choukse, Rodrigo Fonseca, Ricardo Bianchini, Fiodar Kazhamiaka, Daniel S. Berger

Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

2022

Overclocking in Immersion-Cooled Datacenters.

Pulkit A. Misra, Ioannis Manousakis, Esha Choukse, Majid Jalili, Iñigo Goiri, Ashish Raniwala, Brijesh Warrier, Husam Alissa, Bharath Ramakrishnan, Phillip Tuma, Christian Belady, Marcus Fontoura, Ricardo Bianchini

IEEE Micro, 2022

Translation-optimized Memory Compression for Capacity.

Gagandeep Panwar, Muhammad Laghari, David Bears, Yuqing Liu, Chandler Jearls, Esha Choukse, Kirk W. Cameron, Ali Raza Butt, Xun Jian

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2020

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs.

Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi

CoRR, 2019

PruneTrain: fast neural network training by dynamic sparse model reconfiguration.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez

Proceedings of the International Conference for High Performance Computing, 2019

2018

CompressPoints: An Evaluation Methodology for Compressed Memory Systems.

Esha Choukse, Mattan Erez, Alaa R. Alameldeen

IEEE Comput. Archit. Lett., 2018

Compresso: Pragmatic Main Memory Compression.

Esha Choukse, Mattan Erez, Alaa R. Alameldeen

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2016

Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures.

Jungrae Kim, Michael B. Sullivan, Esha Choukse, Mattan Erez

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016