Renée St. Amant

According to our database, Renée St. Amant authored at least 13 papers between 2008 and 2026.

Collaborative distances:

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

2026

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling.

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

2025

Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems.

Shashwat Jaiswal, Shrikara Arun, Anjaly Parayil, Ankur Mallick, Spyros Mastorakis, Alind Khare, Chloe Alverti, Renée St. Amant, Chetan Bansal, Victor Rühle, Josep Torrellas

CoRR, November, 2025

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale.

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, February, 2025

LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.

Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

Ensuring Fair LLM Serving Amid Diverse Applications.

Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers.

Rya Sanovar, Srikant Bharadwaj, Renée St. Amant, Victor Rühle, Saravan Rajmohan

CoRR, 2024

2014

General-purpose code acceleration with limited-precision analog computation.

Renée St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

2013

Multicore Model from Abstract Single Core Inputs.

Emily R. Blem, Hadi Esmaeilzadeh, Renée St. Amant, Karthikeyan Sankaralingam, Doug Burger

IEEE Comput. Archit. Lett., 2013

Power challenges may end the multicore era.

Hadi Esmaeilzadeh, Emily R. Blem, Renée St. Amant, Karthikeyan Sankaralingam, Doug Burger

Commun. ACM, 2013

2012

Power Limitations and Dark Silicon Challenge the Future of Multicore.

Hadi Esmaeilzadeh, Emily R. Blem, Renée St. Amant, Karthikeyan Sankaralingam, Doug Burger

ACM Trans. Comput. Syst., 2012

2011

Dark silicon and the end of multicore scaling.

Hadi Esmaeilzadeh, Emily R. Blem, Renée St. Amant, Karthikeyan Sankaralingam, Doug Burger

Proceedings of the 38th International Symposium on Computer Architecture (ISCA 2011), 2011

2009

Mixed-Signal Approximate Computation: A Neural Predictor Case Study.

Renée St. Amant, Daniel A. Jiménez, Doug Burger

IEEE Micro, 2009

2008

Low-power, high-performance analog neural branch prediction.

Renée St. Amant, Daniel A. Jiménez, Doug Burger

Proceedings of the 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-41 2008), 2008