Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures. - Jungrae Kim; Michael B. Sullivan 001; Esha Choukse; Mattan Erez (ISCA, 2016)

Compresso: Pragmatic Main Memory Compression. - Esha Choukse; Mattan Erez; Alaa R. Alameldeen (MICRO, 2018)

CompressPoints: An Evaluation Methodology for Compressed Memory Systems. - Esha Choukse; Mattan Erez; Alaa R. Alameldeen (IEEE Comput. Archit. Lett., 2018)

PruneTrain: fast neural network training by dynamic sparse model reconfiguration. - Sangkug Lym; Esha Choukse; Siavash Zangeneh; Wei Wen; Sujay Sanghavi; Mattan Erez (SC, 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)

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. - Esha Choukse; Michael B. Sullivan 001; Mike O'Connor; Mattan Erez; Jeff Pool; David W. Nellans; Stephen W. Keckler (ISCA, 2020)

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 002 (MICRO, 2022)

Overclocking in Immersion-Cooled Datacenters. - Pulkit A. Misra; Ioannis Manousakis; Esha Choukse; Majid Jalili 004; Iñigo Goiri; Ashish Raniwala; Brijesh Warrier; Husam Alissa; Bharath Ramakrishnan; Phillip Tuma; Christian Belady; Marcus Fontoura; et al. (IEEE Micro, 2022)

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 (HotCarbon, 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)

POLCA: Power Oversubscription in LLM Cloud Providers. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (CoRR, 2023)

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; et al. (APCCAS, 2024)

Characterizing Power Management Opportunities for LLMs in the Cloud. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (ASPLOS (3), 2024)

DyLeCT: Achieving Huge-page-like Translation Performance for Hardware-compressed Memory. - Gagandeep Panwar; Muhammad Laghari; Esha Choukse; Xun Jian 002 (ISCA, 2024)

Splitwise: Efficient Generative LLM Inference Using Phase Splitting. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Aashaka Shah; Íñigo Goiri; Saeed Maleki; Ricardo Bianchini (ISCA, 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; et al. (ISCA, 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; et al. (ISCA, 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 002 (MICRO, 2024)

Mosaic: Harnessing the Micro-Architectural Resources of Servers in Serverless Environments. - Jovan Stojkovic; Esha Choukse; Enrique Saurez; Íñigo Goiri; Josep Torrellas (MICRO, 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 (NSDI, 2024)

Input-Dependent Power Usage in GPUs. - Theo Gregersen; Pratyush Patel; Esha Choukse (SC Workshops, 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)

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference. - Jovan Stojkovic; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Josep Torrellas (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; et al. (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)

DroidSpeak: Enhancing Cross-LLM Communication. - Yuhan Liu; Esha Choukse; Shan Lu 001; Junchen Jiang; Madan Musuvathi (CoRR, 2024)

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 (ASPLOS (2), 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; et al. (EuroMLSys, 2025)

Towards Resource-Efficient Compound AI Systems. - Gohar Irfan Chaudhry; Esha Choukse; Íñigo Goiri; Rodrigo Fonseca; Adam Belay; Ricardo Bianchini (HotOS, 2025)

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency. - Jovan Stojkovic; Chaojie Zhang; Íñigo Goiri; Josep Torrellas; Esha Choukse (HPCA, 2025)

Towards Efficient Large Multimodal Model Serving. - Haoran Qiu; Anish Biswas; Zihan Zhao; Jayashree Mohan; Alind Khare; Esha Choukse; Íñigo Goiri; Zeyu Zhang 005; Haiying Shen; Chetan Bansal; Ramachandran Ramjee; Rodrigo Fonseca (CoRR, 2025)

EcoServe: Designing Carbon-Aware AI Inference Systems. - Yueying Li; Zhanqiu Hu; Esha Choukse; Rodrigo Fonseca; G. Edward Suh; Udit Gupta (CoRR, 2025)