Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
Gohar Irfan Chaudhry, Esha Choukse, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini
OSDI 2026 | June 2026
Haoran Qiu
Research Engineer
출판물
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Beyond Prediction: Tail-Aware Scheduling for LLM Inference
Yueying Li, Yuanfan Chen, Jiayang Chen, Esha Choukse, Haoran Qiu, Edward Suh, Rodrigo Fonseca, Zib Scully, Udit Gupta
ICML 2026 | June 2026
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Fast or Slow? Human-Inspired Self-Evolving Framework for Resilient AI Systems
Haoran Qiu, Phuong Cao, Shengkun Cui, Archit Patke, Ravishankar Iyer
DSN 2026 | June 2026
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No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
SoCC 2026 | April 2026
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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
March 2026
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ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
November 2025
arXiv | November 2025
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Sherlock: Reliable and efficient workflow execution
Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
November 2025
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Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
September 2025
Arxiv | September 2025
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The Next Horizon of System Intelligence
Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
September 2025
SIGOPS Blog Series | September 2025
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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
ASPLOS | April 2025
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ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
February 2025
Arxiv | February 2025
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
Gohar Irfan Chaudhry, Esha Choukse, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini
OSDI 2026 | June 2026
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Fast or Slow? Human-Inspired Self-Evolving Framework for Resilient AI Systems
Haoran Qiu, Phuong Cao, Shengkun Cui, Archit Patke, Ravishankar Iyer
DSN 2026 | June 2026
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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
March 2026
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ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
November 2025
arXiv | November 2025
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Sherlock: Reliable and efficient workflow execution
Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
November 2025
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Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
September 2025
Arxiv | September 2025
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ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
February 2025
Arxiv | February 2025
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Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
Gohar Irfan Chaudhry, Esha Choukse, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini
OSDI 2026 | June 2026
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Beyond Prediction: Tail-Aware Scheduling for LLM Inference
Yueying Li, Yuanfan Chen, Jiayang Chen, Esha Choukse, Haoran Qiu, Edward Suh, Rodrigo Fonseca, Zib Scully, Udit Gupta
ICML 2026 | June 2026
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No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
SoCC 2026 | April 2026
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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
March 2026
-
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
November 2025
arXiv | November 2025
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Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
September 2025
Arxiv | September 2025
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The Next Horizon of System Intelligence
Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
September 2025
SIGOPS Blog Series | September 2025
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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
ASPLOS | April 2025
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
Gohar Irfan Chaudhry, Esha Choukse, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, Ricardo Bianchini
OSDI 2026 | June 2026
-
Fast or Slow? Human-Inspired Self-Evolving Framework for Resilient AI Systems
Haoran Qiu, Phuong Cao, Shengkun Cui, Archit Patke, Ravishankar Iyer
DSN 2026 | June 2026
-
Beyond Prediction: Tail-Aware Scheduling for LLM Inference
Yueying Li, Yuanfan Chen, Jiayang Chen, Esha Choukse, Haoran Qiu, Edward Suh, Rodrigo Fonseca, Zib Scully, Udit Gupta
ICML 2026 | June 2026
-
No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
SoCC 2026 | April 2026
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ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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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
ASPLOS | April 2025
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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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
March 2026
-
Sherlock: Reliable and efficient workflow execution
Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
November 2025
-
-
-
From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
November 2025
arXiv | November 2025
-
Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
September 2025
Arxiv | September 2025
-
The Next Horizon of System Intelligence
Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
September 2025
SIGOPS Blog Series | September 2025
-
ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
February 2025
Arxiv | February 2025
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