Chaojie Zhang

According to our database, Chaojie Zhang authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

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, Mike Shepperd, Rohan Gandhi, Anjaly Parayil, Srinivasan Iyengar, Ajay Manchepalli, Debopam Bhattacherjee

CoRR, May, 2026

Designing Datacenter Power Delivery Hierarchies for the AI Era.

Grant Wilkins, Fiodar Kazhamiaka, Alok Gautam Kumbhare, Chaojie Zhang, Ricardo Bianchini

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

2025

Rearchitecting Datacenter Lifecycle for AI: A TCO-Driven Framework.

Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Ricardo Bianchini

CoRR, September, 2025

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron.

Tella Rajashekhar Reddy, Palak, Rohan Gandhi, Anjaly Parayil, Chaojie Zhang, Mike Shepperd, Liangcheng Yu, Jayashree Mohan, Srinivasan Iyengar, Shivkumar Kalyanaraman, Debopam Bhattacherjee

CoRR, May, 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

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

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

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

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

CoRR, 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

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

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

2023

POLCA: Power Oversubscription in LLM Cloud Providers.

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

CoRR, 2023

Risk-Aware Scheduling Algorithms for Variable Capacity Resources.

Lucas Perotin, Chaojie Zhang, Rajini Wijayawardana, Anne Benoit, Yves Robert, Andrew A. Chien

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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

2021

Scheduling Challenges for Variable Capacity Resources.

Chaojie Zhang, Andrew A. Chien

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2021

Flex: High-Availability Datacenters With Zero Reserved Power.

Chaojie Zhang, Alok Gautam Kumbhare, Ioannis Manousakis, Deli Zhang, Pulkit A. Misra, Rod Assis, Kyle Woolcock, Nithish Mahalingam, Brijesh Warrier, David Gauthier, Lalu Kunnath, Steve Solomon, Osvaldo Morales, Marcus Fontoura, Ricardo Bianchini

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2019

Real-time Serverless: Enabling Application Performance Guarantees.

Hai Duc Nguyen, Chaojie Zhang, Zhujun Xiao, Andrew A. Chien

Proceedings of the 5th International Workshop on Serverless Computing, 2019

Information Models: Creating and Preserving Value in Volatile Cloud Resources.

Chaojie Zhang, Varun Gupta, Andrew A. Chien

Proceedings of the IEEE International Conference on Cloud Engineering, 2019