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Pratyush Patel
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2020 – today
- 2024
- [c12]Pratyush Patel
, Esha Choukse
, Chaojie Zhang
, Íñigo Goiri
, Brijesh Warrier
, Nithish Mahalingam
, Ricardo Bianchini
:
Characterizing Power Management Opportunities for LLMs in the Cloud. ASPLOS (3) 2024: 207-222 - [c11]Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini:
Splitwise: Efficient Generative LLM Inference Using Phase Splitting. ISCA 2024: 118-132 - [c10]Theo Gregersen, Pratyush Patel, Esha Choukse:
Input-Dependent Power Usage in GPUs. SC Workshops 2024: 1872-1877 - [i6]Theo Gregersen, Pratyush Patel, Esha Choukse:
Input-Dependent Power Usage in GPUs. CoRR abs/2409.18324 (2024) - 2023
- [j3]Pratyush Patel
, Zibo Gong, Syeda Rizvi, Esha Choukse, Pulkit A. Misra, Thomas E. Anderson
, Akshitha Sriraman:
Towards Improved Power Management in Cloud GPUs. IEEE Comput. Archit. Lett. 22(2): 141-144 (2023) - [c9]Pratyush Patel
, Theo Gregersen
, Thomas E. Anderson
:
An Agile Pathway Towards Carbon-aware Clouds. HotCarbon 2023: 10:1-10:8 - [i5]Pratyush Patel, Katie Lim, Kushal Jhunjhunwalla, Ashlie Martinez, Max Demoulin, Jacob Nelson, Irene Zhang, Thomas E. Anderson:
Hybrid Computing for Interactive Datacenter Applications. CoRR abs/2304.04488 (2023) - [i4]Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini:
POLCA: Power Oversubscription in LLM Cloud Providers. CoRR abs/2308.12908 (2023) - [i3]Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Ricardo Bianchini:
Splitwise: Efficient generative LLM inference using phase splitting. CoRR abs/2311.18677 (2023) - 2022
- [j2]Dhruv Jain, Hung Ngo, Pratyush Patel, Steven Goodman, Khoa Huynh Anh Nguyen, Rachel Grossman-Kahn, Leah Findlater, Jon Froehlich
:
SoundWatch: deep learning for sound accessibility on smartwatches. Commun. ACM 65(6): 100-108 (2022) - [c8]Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze:
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys 2022 - 2021
- [c7]Irene Zhang, Amanda Raybuck, Pratyush Patel, Kirk Olynyk, Jacob Nelson, Omar S. Navarro Leija, Ashlie Martinez, Jing Liu, Anna Kornfeld Simpson, Sujay Jayakar, Pedro Henrique Penna, Max Demoulin, Piali Choudhury, Anirudh Badam:
The Demikernel Datapath OS Architecture for Microsecond-scale Datacenter Systems. SOSP 2021: 195-211 - 2020
- [c6]Dhruv Jain, Hung Ngo, Pratyush Patel, Steven Goodman, Leah Findlater, Jon Froehlich
:
SoundWatch: Exploring Smartwatch-based Deep Learning Approaches to Support Sound Awareness for Deaf and Hard of Hearing Users. ASSETS 2020: 30:1-30:13 - [c5]Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu:
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. ISCA 2020: 1050-1063 - [i2]Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu:
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. CoRR abs/2005.09748 (2020)
2010 – 2019
- 2018
- [j1]Hyoseung Kim
, Pratyush Patel
, Shige Wang, Ragunathan Raj Rajkumar:
A server-based approach for predictable GPU access with improved analysis. J. Syst. Archit. 88: 97-109 (2018) - [c4]Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou:
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI 2018: 595-610 - [c3]Pratyush Patel
, Iljoo Baek, Hyoseung Kim
, Ragunathan Rajkumar:
Analytical Enhancements and Practical Insights for MPCP with Self-Suspensions. RTAS 2018: 177-189 - 2017
- [c2]Pratyush Patel
, Manohar Vanga, Björn B. Brandenburg:
TimerShield: Protecting High-Priority Tasks from Low-Priority Timer Interference (Outstanding Paper). RTAS 2017: 3-12 - [c1]Hyoseung Kim
, Pratyush Patel
, Shige Wang, Ragunathan Raj Rajkumar:
A server-based approach for predictable GPU access control. RTCSA 2017: 1-10 - [i1]Hyoseung Kim, Pratyush Patel, Shige Wang, Ragunathan Rajkumar:
A Server-based Approach for Predictable GPU Access with Improved Analysis. CoRR abs/1709.06613 (2017)
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