DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, Esha Choukse
HPCA | March 2025
Efficient AI
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Publications
Publications by Year
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Input-Dependent Power Usage in GPUs
Theo Gregersen, Pratyush Patel, Esha Choukse
Sustainable Supercomputing at SC24 | November 2024
Optimizing GPU Data Center Power
Tawfik Rahal-Arabi, Paul Van der Arend, Ashish Jain, Mehdi Saidi, Rashad Oreifej, Sriram Sundaram, Srilatha Manne, Indrani Paul, Rajit Seahra, Frank Helms, Esha Choukse, Nithish Mahalingam, Brijesh Warrier, Ricardo Bianchini
APCCAS | November 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
September 2024
Splitwise: Efficient generative LLM inference using phase splitting
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
ISCA | June 2024
Characterizing Power Management Opportunities for LLMs in the Cloud
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ASPLOS | April 2024
Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Josep Torrellas
EMC2 at ASPLOS | April 2024
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POLCA: Power Oversubscription in LLM Cloud Providers
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ArXiv | August 2023, Vol abs/2308.12908
Towards Improved Power Management in Cloud GPUs
Pratyush Patel, Zibo Gong, S. Rizvi, Esha Choukse, Pulkit A. Misra, T. Anderson, Akshitha Sriraman, Esha Choukse, Pulkit Misra
IEEE Computer Architecture Letters | June 2023, Vol 22: pp. 141-144
Publications by Research Area
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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
September 2024
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DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, Esha Choukse
HPCA | March 2025
Input-Dependent Power Usage in GPUs
Theo Gregersen, Pratyush Patel, Esha Choukse
Sustainable Supercomputing at SC24 | November 2024
Optimizing GPU Data Center Power
Tawfik Rahal-Arabi, Paul Van der Arend, Ashish Jain, Mehdi Saidi, Rashad Oreifej, Sriram Sundaram, Srilatha Manne, Indrani Paul, Rajit Seahra, Frank Helms, Esha Choukse, Nithish Mahalingam, Brijesh Warrier, Ricardo Bianchini
APCCAS | November 2024
Splitwise: Efficient generative LLM inference using phase splitting
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
ISCA | June 2024
Characterizing Power Management Opportunities for LLMs in the Cloud
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ASPLOS | April 2024
Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Josep Torrellas
EMC2 at ASPLOS | April 2024
POLCA: Power Oversubscription in LLM Cloud Providers
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ArXiv | August 2023, Vol abs/2308.12908
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Towards Improved Power Management in Cloud GPUs
Pratyush Patel, Zibo Gong, S. Rizvi, Esha Choukse, Pulkit A. Misra, T. Anderson, Akshitha Sriraman, Esha Choukse, Pulkit Misra
IEEE Computer Architecture Letters | June 2023, Vol 22: pp. 141-144
Publications by Type
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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
September 2024
-
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, Esha Choukse
HPCA | March 2025
Input-Dependent Power Usage in GPUs
Theo Gregersen, Pratyush Patel, Esha Choukse
Sustainable Supercomputing at SC24 | November 2024
Optimizing GPU Data Center Power
Tawfik Rahal-Arabi, Paul Van der Arend, Ashish Jain, Mehdi Saidi, Rashad Oreifej, Sriram Sundaram, Srilatha Manne, Indrani Paul, Rajit Seahra, Frank Helms, Esha Choukse, Nithish Mahalingam, Brijesh Warrier, Ricardo Bianchini
APCCAS | November 2024
Splitwise: Efficient generative LLM inference using phase splitting
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
ISCA | June 2024
Characterizing Power Management Opportunities for LLMs in the Cloud
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ASPLOS | April 2024
Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Josep Torrellas
EMC2 at ASPLOS | April 2024
-
POLCA: Power Oversubscription in LLM Cloud Providers
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
ArXiv | August 2023, Vol abs/2308.12908
Towards Improved Power Management in Cloud GPUs
Pratyush Patel, Zibo Gong, S. Rizvi, Esha Choukse, Pulkit A. Misra, T. Anderson, Akshitha Sriraman, Esha Choukse, Pulkit Misra
IEEE Computer Architecture Letters | June 2023, Vol 22: pp. 141-144