Renee St. Amant

Senior Principal Research Product Manager

论文与出版物

查看方式：

- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 项目
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 项目
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 项目
- RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation
  
  Renee St. Amant, Amir Yazdanbakhsh, Jongse Park, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- General-purpose code acceleration with limited-precision analog computation
  
  Renee St. Amant, A. Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, A. Hassibi, Luis Ceze, Doug Burger
  
  2014 International Symposium on Computer Architecture | June 2014
  
  IEEE Micro Top Picks from the Computer Architecture Conferences Honorable Mention 2016
  
  DOI Publication Publication
- Power challenges may end the multicore era
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  Commun. ACM | February 2013, 第 56 卷(2): pp. 93-102
  
  Communications of the ACM, Special Issue: Research Highlights
  
  DOI Publication
- Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  IEEE Micro | May 2012, 第 32 卷(3): pp. 122-134
  
  IEEE Micro Special Issue
  
  DOI
- Dark silicon and the end of multicore scaling
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  2011 International Symposium on Computer Architecture | June 2011
  
  Selected for IEEE Micro Top Picks and Communications of the ACM Research Highlights
  
  DOI Publication
- Mixed-Signal Approximate Computation: A Neural Predictor Case Study
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  IEEE Micro | January 2009, 第 29 卷: pp. 104-115
  
  IEEE Micro Special Issue
  
  DOI Publication
- Low-power, high-performance analog neural branch prediction
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  2008 International Symposium on Microarchitecture | November 2008
  
  Selected for IEEE Micro Top Picks from the Computer Architecture Conferences
  
  DOI Publication

- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 项目
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 项目
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 项目
- RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation
  
  Renee St. Amant, Amir Yazdanbakhsh, Jongse Park, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- General-purpose code acceleration with limited-precision analog computation
  
  Renee St. Amant, A. Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, A. Hassibi, Luis Ceze, Doug Burger
  
  2014 International Symposium on Computer Architecture | June 2014
  
  IEEE Micro Top Picks from the Computer Architecture Conferences Honorable Mention 2016
  
  DOI Publication Publication
- Mixed-Signal Approximate Computation: A Neural Predictor Case Study
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  IEEE Micro | January 2009, 第 29 卷: pp. 104-115
  
  IEEE Micro Special Issue
  
  DOI Publication
- Low-power, high-performance analog neural branch prediction
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  2008 International Symposium on Microarchitecture | November 2008
  
  Selected for IEEE Micro Top Picks from the Computer Architecture Conferences
  
  DOI Publication
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 项目
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 项目
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 项目
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 项目
- RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation
  
  Renee St. Amant, Amir Yazdanbakhsh, Jongse Park, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- General-purpose code acceleration with limited-precision analog computation
  
  Renee St. Amant, A. Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, A. Hassibi, Luis Ceze, Doug Burger
  
  2014 International Symposium on Computer Architecture | June 2014
  
  IEEE Micro Top Picks from the Computer Architecture Conferences Honorable Mention 2016
  
  DOI Publication Publication
- Power challenges may end the multicore era
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  Commun. ACM | February 2013, 第 56 卷(2): pp. 93-102
  
  Communications of the ACM, Special Issue: Research Highlights
  
  DOI Publication
- Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  IEEE Micro | May 2012, 第 32 卷(3): pp. 122-134
  
  IEEE Micro Special Issue
  
  DOI
- Dark silicon and the end of multicore scaling
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  2011 International Symposium on Computer Architecture | June 2011
  
  Selected for IEEE Micro Top Picks and Communications of the ACM Research Highlights
  
  DOI Publication
- Mixed-Signal Approximate Computation: A Neural Predictor Case Study
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  IEEE Micro | January 2009, 第 29 卷: pp. 104-115
  
  IEEE Micro Special Issue
  
  DOI Publication
- Low-power, high-performance analog neural branch prediction
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  2008 International Symposium on Microarchitecture | November 2008
  
  Selected for IEEE Micro Top Picks from the Computer Architecture Conferences
  
  DOI Publication

- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 项目
- Power challenges may end the multicore era
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  Commun. ACM | February 2013, 第 56 卷(2): pp. 93-102
  
  Communications of the ACM, Special Issue: Research Highlights
  
  DOI Publication
- Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  IEEE Micro | May 2012, 第 32 卷(3): pp. 122-134
  
  IEEE Micro Special Issue
  
  DOI
- Mixed-Signal Approximate Computation: A Neural Predictor Case Study
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  IEEE Micro | January 2009, 第 29 卷: pp. 104-115
  
  IEEE Micro Special Issue
  
  DOI Publication
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 项目
- General-purpose code acceleration with limited-precision analog computation
  
  Renee St. Amant, A. Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, A. Hassibi, Luis Ceze, Doug Burger
  
  2014 International Symposium on Computer Architecture | June 2014
  
  IEEE Micro Top Picks from the Computer Architecture Conferences Honorable Mention 2016
  
  DOI Publication Publication
- Dark silicon and the end of multicore scaling
  
  H. Esmaeilzadeh, Emily R. Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  2011 International Symposium on Computer Architecture | June 2011
  
  Selected for IEEE Micro Top Picks and Communications of the ACM Research Highlights
  
  DOI Publication
- Low-power, high-performance analog neural branch prediction
  
  Renee St. Amant, Daniel A. Jiménez, Doug Burger
  
  2008 International Symposium on Microarchitecture | November 2008
  
  Selected for IEEE Micro Top Picks from the Computer Architecture Conferences
  
  DOI Publication
- RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling
  
  Hadi Esmaeilzadeh, Emily Blem, Renee St. Amant, Karthikeyan Sankaralingam, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation
  
  Renee St. Amant, Amir Yazdanbakhsh, Jongse Park, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger
  
  ISCA@50 25-Year Retrospective: 1996-2020 | 作者：ACM SIGARCH and IEEE TCCA | 2023
  
  Publication 项目项目
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 项目

Renee St. Amant

论文与出版物

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

Ensuring Fair LLM Serving Amid Diverse Applications

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

RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling

RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation

General-purpose code acceleration with limited-precision analog computation

Power challenges may end the multicore era

Dark Silicon and the End of Multicore Scaling

Dark silicon and the end of multicore scaling

Mixed-Signal Approximate Computation: A Neural Predictor Case Study

Low-power, high-performance analog neural branch prediction

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

Ensuring Fair LLM Serving Amid Diverse Applications

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

RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation

General-purpose code acceleration with limited-precision analog computation

Mixed-Signal Approximate Computation: A Neural Predictor Case Study

Low-power, high-performance analog neural branch prediction

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

Ensuring Fair LLM Serving Amid Diverse Applications

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

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

RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling

RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation

General-purpose code acceleration with limited-precision analog computation

Power challenges may end the multicore era

Dark Silicon and the End of Multicore Scaling

Dark silicon and the end of multicore scaling

Mixed-Signal Approximate Computation: A Neural Predictor Case Study

Low-power, high-performance analog neural branch prediction

Ensuring Fair LLM Serving Amid Diverse Applications

Power challenges may end the multicore era

Dark Silicon and the End of Multicore Scaling

Mixed-Signal Approximate Computation: A Neural Predictor Case Study

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

General-purpose code acceleration with limited-precision analog computation

Dark silicon and the end of multicore scaling

Low-power, high-performance analog neural branch prediction

RETROSPECTIVE: Dark Silicon and the End of Multicore Scaling

RETROSPECTIVE: General-Purpose Code Acceleration with Limited-Precision Analog Computation

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