Hanjiang Wu

According to our database, Hanjiang Wu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving.

Hanjiang Wu, Abhimanyu Rajeshkumar Bambhaniya, Sarbartha Banerjee, Tuhin Khare, Sudarshan Srinivasan, Suvinay Subramanian, Souvik Kundu, Madhu Kumar, Midhilesh Elavazhagan, William Won, Amir Yazdanbakhsh, Tushar Krishna

CoRR, May, 2026

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.

Srinivas Sridharan, Theodor-Adrian Badea, Andy Balogh, Bradford M. Beckmann, Brian Coutinho, Louis Feng, Sheng Fu, Sanshan Gao, Mehryar Garakani, Taekyung Heo, David Kanter, Josh Ladd, Ziwei Li, Winston Liu, Changhai Man, Dan Mihailescu, Spandan More, Joongun Park, Ashwin Ramachandran, Vinay Ramakrishnaiah, Saeed Rashidi, Vijay Janapa Reddi, Puneet Sharma, Phio Tian, William Won, Hanjiang Wu, Huan Xu, Jinsun Yoo, Tushar Krishna

CoRR, May, 2026

SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning.

Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design.

Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna

CoRR, November, 2025

Scaling Intelligence: Designing Data Centers for Next-Gen Language Models.

Jesmin Jahan Tithi, Hanjiang Wu, Avishaii Abuhatzera, Fabrizio Petrini

CoRR, June, 2025

Understanding and Optimizing Multi-Stage AI Inference Pipelines.

Abhimanyu Rajeshkumar Bambhaniya, Hanjiang Wu, Suvinay Subramanian, Sudarshan Srinivasan, Souvik Kundu, Amir Yazdanbakhsh, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna

CoRR, April, 2025

Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective.

Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024

Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing.

Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna

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