Information Models: Creating and Preserving Value in Volatile Cloud Resources. - Chaojie Zhang 001; Varun Gupta 004; Andrew A. Chien (IC2E, 2019)

Real-time Serverless: Enabling Application Performance Guarantees. - Hai Duc Nguyen 005; Chaojie Zhang 001; Zhujun Xiao; Andrew A. Chien (WOSC@Middleware, 2019)

Flex: High-Availability Datacenters With Zero Reserved Power. - Chaojie Zhang 001; Alok Gautam Kumbhare; Ioannis Manousakis; Deli Zhang; Pulkit A. Misra; Rod Assis; Kyle Woolcock; Nithish Mahalingam; Brijesh Warrier; David Gauthier; Lalu Kunnath; Steve Solomon; et al. (ISCA, 2021)

Scheduling Challenges for Variable Capacity Resources. - Chaojie Zhang 001; Andrew A. Chien (JSSPP, 2021)

Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms. - Jialun Lyu; Jaylen Wang; Kali Frost; Chaojie Zhang 001; Celine Irvene; Esha Choukse; Rodrigo Fonseca; Ricardo Bianchini; Fiodar Kazhamiaka; Daniel S. Berger (HotCarbon, 2023)

Risk-Aware Scheduling Algorithms for Variable Capacity Resources. - Lucas Perotin; Chaojie Zhang 001; Rajini Wijayawardana; Anne Benoit; Yves Robert; Andrew A. Chien (SC Workshops, 2023)

POLCA: Power Oversubscription in LLM Cloud Providers. - Pratyush Patel; Esha Choukse; Chaojie Zhang 001; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (CoRR, 2023)

Characterizing Power Management Opportunities for LLMs in the Cloud. - Pratyush Patel; Esha Choukse; Chaojie Zhang 001; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (ASPLOS (3), 2024)

Splitwise: Efficient Generative LLM Inference Using Phase Splitting. - Pratyush Patel; Esha Choukse; Chaojie Zhang 001; Aashaka Shah; Íñigo Goiri; Saeed Maleki; Ricardo Bianchini (ISCA, 2024)

Designing Cloud Servers for Lower Carbon. - Jaylen Wang; Daniel S. Berger; Fiodar Kazhamiaka; Celine Irvene; Chaojie Zhang 001; Esha Choukse; Kali Frost; Rodrigo Fonseca; Brijesh Warrier; Chetan Bansal; Jonathan Stern; Ricardo Bianchini; et al. (ISCA, 2024)

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference. - Jovan Stojkovic; Esha Choukse; Chaojie Zhang 001; Íñigo Goiri; Josep Torrellas (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 001; Alexey Tumanov; Esha Choukse (CoRR, 2024)

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms. - Jovan Stojkovic; Chaojie Zhang 001; Íñigo Goiri; Esha Choukse; Haoran Qiu; Rodrigo Fonseca; Josep Torrellas; Ricardo Bianchini (ASPLOS (2), 2025)

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency. - Jovan Stojkovic; Chaojie Zhang 001; Íñigo Goiri; Josep Torrellas; Esha Choukse (HPCA, 2025)

Splitwise: Efficient Generative LLM Inference Using Phase Splitting. - Esha Choukse; Pratyush Patel; Chaojie Zhang 001; Aashaka Shah; Íñigo Goiri; Saeed Maleki; Rodrigo Fonseca; Ricardo Bianchini (IEEE Micro, 2025)

Enabling Sustainable Cloud Computing With Low-Carbon Server Design. - Jaylen Wang; Daniel S. Berger; Fiodar Kazhamiaka; Celine Irvene; Chaojie Zhang 001; Esha Choukse; Kali Frost; Rodrigo Fonseca; Brijesh Warrier; Chetan Bansal; Jonathan Stern; Ricardo Bianchini; et al. (IEEE Micro, 2025)

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron. - Tella Rajashekhar Reddy; Palak 004; Rohan Gandhi; Anjaly Parayil; Chaojie Zhang 001; Mike Shepperd; Liangcheng Yu; Jayashree Mohan; Srinivasan Iyengar; Shivkumar Kalyanaraman; Debopam Bhattacherjee (CoRR, 2025)

Rearchitecting Datacenter Lifecycle for AI: A TCO-Driven Framework. - Jovan Stojkovic; Chaojie Zhang 001; Íñigo Goiri; Ricardo Bianchini (CoRR, 2025)

StreamWise: Serving Multi-Modal Generation in Real-Time at Scale. - Haoran Qiu; Gohar Irfan Chaudhry; Chaojie Zhang 001; Íñigo Goiri; Esha Choukse; Rodrigo Fonseca; Ricardo Bianchini (CoRR, 2026)

Designing Datacenter Power Delivery Hierarchies for the AI Era. - Grant Wilkins; Fiodar Kazhamiaka; Alok Gautam Kumbhare; Chaojie Zhang 001; Ricardo Bianchini (CoRR, 2026)

XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms. - Tella Rajashekhar Reddy; Atharva Deshmukh; Liangcheng Yu; Chaojie Zhang 001; Mike Shepperd; Rohan Gandhi; Anjaly Parayil; Srinivasan Iyengar; Ajay Manchepalli; Debopam Bhattacherjee (CoRR, 2026)