Parthasarathy Ranganathan

162 papers A* 53A 9B 6C 2Misc 1Journal 63Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX. CoRR Stoyan Nikolov, Bernhard Konrad, Moritz Gronbach, Niket Kumar, Ann Yan, Varun Singh, Yaning Liang, Parthasarathy Ranganathan
2026	J	`jnl`	ArchAgent: Agentic AI-driven Computer Architecture Discovery. CoRR Raghav Gupta, Akanksha Jain, Abraham Gonzalez, Alexander Novikov, Po-Sen Huang, Matej Balog, Marvin Eisenberger, Sergey Shirobokov, Ngân Vu, Martin Dixon, Borivoje Nikolic, Parthasarathy Ranganathan, Sagar Karandikar
2026	J	`jnl`	Managing and Securing Google's Fleet of Multi-Node Servers. Commun. ACM Andrés Lagar-Cavilla, Jeff Andersen, Jad Baydoun, Eric A. Brewer, Alireza Ghaffarkhah, Richard Hanley, Chris Koch, Jon McCune, Jeffrey C. Mogul, Kishan Prasad, Parthasarathy Ranganathan, Shiva Rao, Anna Sapek, Havard Skinnemoen, Amin Vahdat, Patrick Venture, Michael C. Wong, Chad Yoshikawa
2026	—	`book`	The Data Center as a Computer - Designing Warehouse-Scale Machines, Fourth Editiontion Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan
2026	—	`conf`	Unicorns, Centaurs, and Cyborgs: Co-design Powering the Intelligence Era. ASPLOS (2) Parthasarathy Ranganathan
2025	J	`jnl`	An Introduction to Life-Cycle Emissions of Artificial Intelligence Hardware. IEEE Micro Ian Schneider, Hui Xu, Stephan Benecke, David A. Patterson, Keguo Huang, Parthasarathy Ranganathan, Cooper Elsworth
2025	J	`jnl`	Automated High-Level Code Optimization for Warehouse Performance. IEEE Micro Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
2025	A*	`conf`	Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion. ISCA Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh
2025	J	`jnl`	Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion. CoRR Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh
2025	J	`jnl`	ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers. CoRR Hannah Lin, Martin Maas, Maximilian Roquemore, Arman Hasanzadeh, Fred Lewis, Yusuf Simonson, Tzu-Wei Yang, Amir Yazdanbakhsh, Deniz Altinbüken, Florin Papa, Maggie Nolan Edmonds, Aditya Patil, Don Schwarz, Satish Chandra, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan
2025	J	`jnl`	From University Research to Global Impact. Commun. ACM Magdalena Balazinska, Jeff Dean, Urs Hölzle, Parthasarathy Ranganathan
2025	J	`jnl`	Instruction Set Migration at Warehouse Scale. CoRR Eric Christopher, Kevin Crossan, Wolff Dobson, Chris Kennelly, Drew Lewis, Kun Lin, Martin Maas, Parthasarathy Ranganathan, Emma Rapati, Brian Yang
2025	J	`jnl`	Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends. CoRR Ian Schneider, Hui Xu, Stephan Benecke, David Patterson, Keguo Huang, Parthasarathy Ranganathan, Cooper Elsworth
2025	J	`jnl`	Measuring the environmental impact of delivering AI at Google Scale. CoRR Cooper Elsworth, Keguo Huang, David A. Patterson, Ian Schneider, Robert Sedivy, Savannah Goodman, Ben Townsend, Parthasarathy Ranganathan, Jeff Dean, Amin Vahdat, Ben Gomes, James Manyika
2025	J	`jnl`	Memory Efficiency via Offloading in Warehouse-Scale Datacenters. Commun. ACM Parthasarathy Ranganathan
2025	—	`conf`	Necro-reaper: Pruning away Dead Memory Traffic in Warehouse-Scale Computers. ASPLOS (2) Sotiris Apostolakis, Chris Kennelly, Xinliang David Li, Parthasarathy Ranganathan
2025	A*	`conf`	Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG. EMNLP Mossad Helali, Yutai Luo, Tae Jun Ham, Jim Plotts, Ashwin Chaugule, Jichuan Chang, Parthasarathy Ranganathan, Essam Mansour
2025	J	`jnl`	SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads? CoRR Jeffrey Jian Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li, Vijay Janapa Reddi, Parthasarathy Ranganathan
2025	J	`jnl`	Silent Data Corruption by 10x Test Escapes Threatens Reliable Computing. CoRR Subhasish Mitra, Subho S. Banerjee, Martin Dixon, Rama Govindaraju, Peter H. Hochschild, Eric X. Liu, Bharath Parthasarathy, Parthasarathy Ranganathan
2025	J	`jnl`	Silent Data Corruption by 10× Test Escapes Threatens Reliable Computing. IEEE Des. Test Subhasish Mitra, Subho S. Banerjee, Martin Dixon, Mike Fuller, Rama Govindaraju, Peter Hochschild, Eric X. Liu, Bharath Parthasarathy, Parthasarathy Ranganathan
2025	A*	`conf`	The Importance of Generalizability in Machine Learning for Systems. HPCA Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou
2024	—	`conf`	Characterizing a Memory Allocator at Warehouse Scale. ASPLOS (3) Zhuangzhuang Zhou, Vaibhav Gogte, Nilay Vaish, Chris Kennelly, Patrick Xia, Svilen Kanev, Tipp Moseley, Christina Delimitrou, Parthasarathy Ranganathan
2024	A*	`conf`	Learning Performance-Improving Code Edits. ICLR Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
2024	—	`conf`	Limoncello: Prefetchers for Scale. ASPLOS (3) Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan
2024	J	`jnl`	The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou
2024	J	`jnl`	Twenty Five Years of Warehouse-Scale Computing. IEEE Micro Parthasarathy Ranganathan, Urs Hölzle
2023	—	`conf`	A Six-Word Story on the Future of VLSI: AI-driven, Software-defined, and Uncomfortably Exciting. VLSI Technology and Circuits Parthasarathy Ranganathan
2023	A*	`conf`	CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. ISCA Sagar Karandikar, Aniruddha N. Udipi, Junsun Choi, Joonho Whangbo, Jerry Zhao, Svilen Kanev, Edwin Lim, Jyrki Alakuijala, Vrishab Madduri, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan
2023	J	`jnl`	Fifty Years of ISCA: A data-driven retrospective on key trends. CoRR Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
2023	J	`jnl`	Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. IEEE Micro Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
2023	—	`conf`	Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi
2023	J	`jnl`	Learning Performance-Improving Code Edits. CoRR Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
2023	A*	`conf`	Profiling Hyperscale Big Data Processing. ISCA Abraham Gonzalez, Aasheesh Kolli, Samira Manabi Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanovic, Parthasarathy Ranganathan
2023	—	`conf`	Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale. ASPLOS (3) Padmapriya Duraisamy, Wei Xu, Scott Hare, Ravi Rajwar, David E. Culler, Zhiyi Xu, Jianing Fan, Christopher Kennelly, Bill McCloskey, Danijela Mijailovic, Brian Morris, Chiranjit Mukherjee, Jingliang Ren, Greg Thelen, Paul Turner, Carlos Villavieja, Parthasarathy Ranganathan, Amin Vahdat
2022	A*	`conf`	CRISP: critical slice prefetching. ASPLOS Heiner Litz, Grant Ayers, Parthasarathy Ranganathan
2022	J	`jnl`	Learning to Improve Code Efficiency. CoRR Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan
2022	J	`jnl`	Warehouse-Scale Video Acceleration. IEEE Micro Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela
2021	A*	`conf`	A Hardware Accelerator for Protocol Buffers. MICRO Sagar Karandikar, Chris Leary, Chris Kennelly, Jerry Zhao, Dinesh Parimi, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan
2021	A*	`conf`	A hierarchical neural model of data prefetching. ASPLOS Zhan Shi, Akanksha Jain, Kevin Swersky, Milad Hashemi, Parthasarathy Ranganathan, Calvin Lin
2021	A*	`conf`	Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator. OSDI A. H. Hunter, Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, Parthasarathy Ranganathan
2021	A	`conf`	Cores that don't count. HotOS Peter H. Hochschild, Paul Turner, Jeffrey C. Mogul, Rama K. Govindaraju, Parthasarathy Ranganathan, David E. Culler, Amin Vahdat
2021	J	`jnl`	Socio-Technological Challenges and Opportunities: Paths Forward. CoRR Carole-Jean Wu, Srilatha Manne, Parthasarathy Ranganathan, Sarah Bird, Shane Greenstein
2021	A*	`conf`	Warehouse-scale video acceleration: co-design and deployment in the wild. ASPLOS Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela, Raghu Balasubramanian, Sandeep Bhatia, Prakash Chauhan, Anna Cheung, In Suk Chong, Niranjani Dasharathi, Jia Feng, Brian Fosco, Samuel Foss, Ben Gelb, Sara J. Gwin, Yoshiaki Hase, Da-ke He, C. Richard Ho, Roy W. Huffman Jr., Elisha Indupalli, Indira Jayaram, Poonacha Kongetira, Cho Mon Kyaw, Aaron Laursen, Yuan Li, Fong Lou, Kyle A. Lucke, J. P. Maaninen, Ramon Macias, Maire Mahony, David Alexander Munday, Srikanth Muroor, Narayana Penukonda, Eric Perkins-Argueta, Devin Persaud, Alex Ramírez, Ville-Mikko Rautio, Yolanda Ripley, Amir Salek, Sathish Sekar, Sergey N. Sokolov, Rob Springer, Don Stark, Mercedes Tan, Mark S. Wachsler, Andrew C. Walton, David A. Wickeraad, Alvin Wijaya, Hon Kwan Wu
2020	A*	`conf`	An Imitation Learning Approach for Cache Replacement. ICML Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
2020	J	`jnl`	An Imitation Learning Approach for Cache Replacement. CoRR Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
2020	J	`jnl`	AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers. IEEE Micro Nayana Prasad Nagendra, Grant Ayers, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan
2020	A*	`conf`	Autonomous Warehouse-Scale Computers. DAC Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan
2020	A*	`conf`	Classifying Memory Access Patterns for Prefetching. ASPLOS Grant Ayers, Heiner Litz, Christos Kozyrakis, Parthasarathy Ranganathan
2020	A*	`conf`	Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping. ASPLOS Varun Sakalkar, Vasileios Kontorinis, David Landhuis, Shaohong Li, Darren De Ronde, Thomas Blooming, Anand Ramesh, James Kennedy, Christopher Malone, Jimmy Clidaras, Parthasarathy Ranganathan
2020	A*	`conf`	Learning Execution through Neural Code fusion. ICLR Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi
2020	A*	`conf`	Neural Execution Engines: Learning to Execute Subroutines. NeurIPS Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
2020	J	`jnl`	Neural Execution Engines: Learning to Execute Subroutines. CoRR Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
2020	J	`jnl`	Technical perspective: ASIC clouds: specializing the datacenter. Commun. ACM Parthasarathy Ranganathan
2020	A*	`conf`	Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. OSDI Shaohong Li, Xi Wang, Xiao Zhang, Vasileios Kontorinis, Sreekumar Kodakara, David Lo, Parthasarathy Ranganathan
2019	A*	`conf`	AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. ISCA Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan
2019	A*	`conf`	Kelp: QoS for Accelerated Machine Learning Systems. HPCA Haishan Zhu, David Lo, Liqun Cheng, Rama K. Govindaraju, Parthasarathy Ranganathan, Mattan Erez
2019	J	`jnl`	Learning Execution through Neural Code Fusion. CoRR Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi
2019	J	`jnl`	On the Spectre and Meltdown Processor Security Vulnerabilities. IEEE Micro Mark D. Hill, Jon Masters, Parthasarathy Ranganathan, Paul Turner, John L. Hennessy
2019	A*	`conf`	Software-Defined Far Memory in Warehouse-Scale Computers. ASPLOS H. Andrés Lagar-Cavilla, Junwhan Ahn, Suleiman Souhlal, Neha Agarwal, Radoslaw Burny, Shakeel Butt, Jichuan Chang, Ashwin Chaugule, Nan Deng, Junaid Shahid, Greg Thelen, Kamil Adam Yurtsever, Yu Zhao, Parthasarathy Ranganathan
2018	A*	`conf`	Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks. ASPLOS Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu
2018	A*	`conf`	Learning Memory Access Patterns. ICML Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan
2018	J	`jnl`	Learning Memory Access Patterns. CoRR Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan
2018	A*	`conf`	Memory Hierarchy for Web Search. HPCA Grant Ayers, Jung Ho Ahn, Christos Kozyrakis, Parthasarathy Ranganathan
2018	—	`book`	The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition The Datacenter as a Computer (3rd Ed.) Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan
2018	A*	`conf`	vbench: Benchmarking Video Transcoding in the Cloud. ASPLOS Andrea Lottarini, Alex Ramírez, Joel Coburn, Martha A. Kim, Parthasarathy Ranganathan, Daniel Stodolsky, Mark Wachsler
2017	J	`jnl`	Attack of the killer microseconds. Commun. ACM Luiz André Barroso, Mike Marty, David A. Patterson, Parthasarathy Ranganathan
2017	Misc	`conf`	End of Moore's Law: Or, a Computer Architect's Mid-life Crisis? HiPC Parthasarathy Ranganathan
2016	J	`jnl`	Improving Resource Efficiency at Scale with Heracles. ACM Trans. Comput. Syst. David Lo, Liqun Cheng, Rama K. Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
2016	J	`jnl`	Profiling a Warehouse-Scale Computer. IEEE Micro Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
2015	A*	`conf`	Heracles: improving resource efficiency at scale. ISCA David Lo, Liqun Cheng, Rama K. Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
2015	A*	`conf`	Profiling a warehouse-scale computer. ISCA Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
2014	J	`jnl`	Data Center Energy Efficiency: Improving Energy Efficiency in Data Centers Beyond Technology Scaling. IEEE Des. Test Frederic T. Chong, Martijn J. R. Heck, Parthasarathy Ranganathan, A. A. M. Saleh, Hassan M. G. Wassel
2014	A	`conf`	The new (system) balance of power and opportunities for optimizations. ISLPED Parthasarathy Ranganathan
2013	A	`conf`	An FPGA memcached appliance. FPGA Sai Rahul Chalamalasetti, Kevin T. Lim, Mitch Wright, Alvin AuYoung, Parthasarathy Ranganathan, Martin Margala
2013	—	`conf`	Consistent, durable, and safe memory management for byte-addressable non volatile main memory. TRIOS@SOSP Iulian Moraru, David G. Andersen, Michael Kaminsky, Niraj Tolia, Parthasarathy Ranganathan, Nathan L. Binkert
2013	A	`conf`	Hardware acceleration for similarity measurement in natural language processing. ISLPED Prateek Tandon, Vahed Qazvinian, Jichuan Chang, Parthasarathy Ranganathan, Ronald G. Dreslinski, Thomas F. Wenisch
2013	A*	`conf`	Meet the walkers: accelerating index traversals for in-memory databases. MICRO Yusuf Onur Koçberber, Boris Grot, Javier Picorel, Babak Falsafi, Kevin T. Lim, Parthasarathy Ranganathan
2013	A*	`conf`	Thin servers with smart pipes: designing SoC accelerators for memcached. ISCA Kevin T. Lim, David Meisner, Ali G. Saidi, Parthasarathy Ranganathan, Thomas F. Wenisch
2012	J	`jnl`	(Re)Designing Data-Centric Data Centers. IEEE Micro Parthasarathy Ranganathan, Jichuan Chang
2012	—	`conf`	A limits study of benefits from nanostore-based future data-centric system architectures. Conf. Computing Frontiers Jichuan Chang, Parthasarathy Ranganathan, Trevor N. Mudge, David Roberts, Mehul A. Shah, Kevin T. Lim
2012	A*	`conf`	BOOM: Enabling mobile memory based low-power server DIMMs. ISCA Doe Hyun Yoon, Jichuan Chang, Naveen Muralimanohar, Parthasarathy Ranganathan
2012	J	`jnl`	Enabling Efficient and Scalable Hybrid Memories Using Fine-Granularity DRAM Cache Management. IEEE Comput. Archit. Lett. Justin Meza, Jichuan Chang, HanBin Yoon, Onur Mutlu, Parthasarathy Ranganathan
2012	B	`conf`	Evaluating FPGA-acceleration for real-time unstructured search. ISPASS Sai Rahul Chalamalasetti, Martin Margala, Wim Vanderbauwhede, Mitch Wright, Parthasarathy Ranganathan
2012	—	`conf`	Exploring latency-power tradeoffs in deep nonvolatile memory hierarchies. Conf. Computing Frontiers Doe Hyun Yoon, Tobin Gonzalez, Parthasarathy Ranganathan, Robert S. Schreiber
2012	J	`jnl`	Free-p: A Practical End-to-End Nonvolatile Memory Protection Mechanism. IEEE Micro Doe Hyun Yoon, Naveen Muralimanohar, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi, Mattan Erez
2012	A*	`conf`	System-level implications of disaggregated memory. HPCA Kevin T. Lim, Yoshio Turner, Jose Renato Santos, Alvin AuYoung, Jichuan Chang, Parthasarathy Ranganathan, Thomas F. Wenisch
2012	A*	`conf`	Totally green: evaluating and designing servers for lifecycle environmental impact. ASPLOS Jichuan Chang, Justin Meza, Parthasarathy Ranganathan, Amip Shah, Rocky Shih, Cullen E. Bash
2011	A	`conf`	Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. FAST Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell
2011	J	`jnl`	Everything as a Service: Powering the New Information Economy. Computer Prith Banerjee, Rich Friedrich, Cullen E. Bash, Patrick Goldsack, Bernardo A. Huberman, John Manley, Chandrakant D. Patel, Parthasarathy Ranganathan, Alistair C. Veitch
2011	A*	`conf`	FREE-p: Protecting non-volatile memory against both hard and soft errors. HPCA Doe Hyun Yoon, Naveen Muralimanohar, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi, Mattan Erez
2011	J	`jnl`	From Microprocessors to Nanostores: Rethinking Data-Centric Systems. Computer Parthasarathy Ranganathan
2011	J	`jnl`	Loosely coupled coordinated management in virtualized data centers. Clust. Comput. Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan
2011	J	`jnl`	On energy efficiency for enterprise and data center networks. IEEE Commun. Mag. Priya Mahadevan, Sujata Banerjee, Puneet Sharma, Amip Shah, Parthasarathy Ranganathan
2011	—	`conf`	Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems. USENIX ATC Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan
2011	—	`conf`	Power-efficient networking for balanced system designs: early experiences with PCIe. HotPower@SOSP John L. Byrne, Jichuan Chang, Kevin T. Lim, Laura L. Ramirez, Parthasarathy Ranganathan
2011	J	`jnl`	Saving the World, One Server at a Time, Together. Computer Parthasarathy Ranganathan, Jichuan Chang
2011	A*	`conf`	System-level integrated server architectures for scale-out datacenters. MICRO Sheng Li, Kevin T. Lim, Paolo Faraboschi, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi
2011	J	`jnl`	Topology-aware resource allocation for data-intensive workloads. Comput. Commun. Rev. Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz
2010	B	`conf`	Evaluating impact of manageability features on device performance. CNSM Jacob Leverich, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis
2010	J	`jnl`	Guest Editors' Introduction: Datacenter-Scale Computing. IEEE Micro Luiz André Barroso, Parthasarathy Ranganathan
2010	B	`conf`	Online detection of utility cloud anomalies using metric distributions. NOMS Chengwei Wang, Vanish Talwar, Karsten Schwan, Parthasarathy Ranganathan
2010	J	`jnl`	Recipe for efficiency: principles of power-aware computing. Commun. ACM Parthasarathy Ranganathan
2010	—	`conf`	Topology-aware resource allocation for data-intensive workloads. ApSys Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz
2010	—	`conf`	sNICh: efficient last hop networking in the data center. ANCS Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox, Scott Rixner, Parthasarathy Ranganathan, Jose Renato Santos
2009	B	`conf`	A Power Benchmarking Framework for Network Devices. Networking Priya Mahadevan, Puneet Sharma, Sujata Banerjee, Parthasarathy Ranganathan
2009	A*	`conf`	Disaggregated memory for expansion and sharing in blade servers. ISCA Kevin T. Lim, Jichuan Chang, Trevor N. Mudge, Parthasarathy Ranganathan, Steven K. Reinhardt, Thomas F. Wenisch
2009	J	`jnl`	Energy Efficiency: The New Holy Grail of Data Management Systems Research CoRR Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan
2009	A	`conf`	Energy Efficiency: The New Holy Grail of Data Management Systems Research. CIDR Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan
2009	—	`conf`	GViM: GPU-accelerated virtual machines. HPCVirt@EuroSys Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan
2009	A*	`conf`	Industrial perspectives panel. HPCA Parthasarathy Ranganathan
2009	B	`conf`	Industrial perspectives panel. PPoPP Parthasarathy Ranganathan
2009	J	`jnl`	Models and Metrics for Energy-Efficient Computing. Adv. Comput. Parthasarathy Ranganathan, Suzanne Rivoire, Justin D. Moore
2009	J	`jnl`	Power Management of Datacenter Workloads Using Per-Core Power Gating. IEEE Comput. Archit. Lett. Jacob Leverich, Matteo Monchiero, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis
2009	J	`jnl`	Server Designs for Warehouse-Computing Environments. IEEE Micro Kevin T. Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant D. Patel, Trevor N. Mudge, Steven K. Reinhardt
2009	A*	`conf`	Sustainable data centers: enabled by supply and demand side management. DAC Prith Banerjee, Chandrakant D. Patel, Cullen E. Bash, Parthasarathy Ranganathan
2009	A	`conf`	Tracking the power in an enterprise decision support system. ISLPED Justin Meza, Mehul A. Shah, Parthasarathy Ranganathan, Mike Fitzner, Judson Veazey
2009	—	`conf`	vManage: loosely coupled platform and virtualization management in data centers. ICAC Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan
2008	—	`conf`	A Comparison of High-Level Full-System Power Models. HotPower Suzanne Rivoire, Parthasarathy Ranganathan, Christos Kozyrakis
2008	—	`conf`	Active storage revisited: the case for power and performance benefits for unstructured data processing applications. Conf. Computing Frontiers Clinton Wills Smullen IV, Shahrukh Rohinton Tarapore, Sudhanva Gurumurthi, Parthasarathy Ranganathan, Mustafa Uysal
2008	—	`conf`	Delivering Energy Proportionality with Non Energy-Proportional Systems - Optimizing the Ensemble. HotPower Niraj Tolia, Zhikui Wang, Manish Marwah, Cullen E. Bash, Parthasarathy Ranganathan, Xiaoyun Zhu
2008	A*	`conf`	Fabric convergence implications on systems architecture. HPCA Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok
2008	A*	`conf`	Implementing high availability memory with a duplication cache. MICRO Nidhi Aggarwal, James E. Smith, Kewal K. Saluja, Norman P. Jouppi, Parthasarathy Ranganathan
2008	A*	`conf`	No "power" struggles: coordinated multi-level power management for the data center. ASPLOS Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu
2008	A	`conf`	Power management from cores to datacenters: where are we going to get the next ten-fold improvements? ISLPED Parthasarathy Ranganathan
2008	A*	`conf`	Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments. ISCA Kevin T. Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant D. Patel, Trevor N. Mudge, Steven K. Reinhardt
2008	J	`jnl`	Using Asymmetric Single-ISA CMPs to Save Energy on Operating Systems. IEEE Micro Jeffrey C. Mogul, Jayaram Mudigonda, Nathan L. Binkert, Parthasarathy Ranganathan, Vanish Talwar
2007	A*	`conf`	Configurable isolation: building high availability systems with commodity multi-core processors. ISCA Nidhi Aggarwal, Parthasarathy Ranganathan, Norman P. Jouppi, James E. Smith
2007	C	`conf`	Cost-aware scheduling for heterogeneous enterprise machines (CASH'EM). CLUSTER Jennifer Burge, Parthasarathy Ranganathan, Janet L. Wiener
2007	J	`jnl`	General-purpose blade infrastructure for configurable system architectures. Distributed Parallel Databases Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok
2007	J	`jnl`	General-purpose blade infrastructure for configurable system architectures. Distributed Parallel Databases Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok
2007	J	`jnl`	Isolation in Commodity Multicore Processors. Computer Nidhi Aggarwal, Parthasarathy Ranganathan, Norman P. Jouppi, James E. Smith
2007	—	`conf`	JouleSort: a balanced energy-efficiency benchmark. SIGMOD Conference Suzanne Rivoire, Mehul A. Shah, Parthasarathy Ranganathan, Christos Kozyrakis
2007	J	`jnl`	Models and Metrics to Enable Energy-Efficiency Optimizations. Computer Suzanne Rivoire, Mehul A. Shah, Parthasarathy Ranganathan, Christos Kozyrakis, Justin Meza
2007	C	`conf`	Motivating co-ordination of power management solutions in data centers. CLUSTER Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang
2006	J	`jnl`	Energy-Aware User Interfaces and Energy-Adaptive Displays. Computer Parthasarathy Ranganathan, Erik Geelhoed, Meera Manahan, Ken Nicholas
2006	A*	`conf`	Ensemble-level Power Management for Dense Blade Servers. ISCA Parthasarathy Ranganathan, Phil Leech, David Irwin, Jeffrey S. Chase
2006	J	`jnl`	IT Infrastructure in Emerging Markets: Arguing for an End-to-End Perspective. IEEE Pervasive Comput. Ajay Gupta, Parthasarathy Ranganathan, Prashant Sarin, Mehul A. Shah
2006	—	`conf`	Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers. ICAC Justin D. Moore, Jeffrey S. Chase, Parthasarathy Ranganathan
2005	A*	`conf`	Enterprise IT Trends and Implications for Architecture Research. HPCA Parthasarathy Ranganathan, Norman P. Jouppi
2005	J	`jnl`	Heterogeneous Chip Multiprocessors. Computer Rakesh Kumar, Dean M. Tullsen, Norman P. Jouppi, Parthasarathy Ranganathan
2005	—	`conf`	Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers. USENIX ATC, General Track Justin D. Moore, Jeffrey S. Chase, Parthasarathy Ranganathan, Ratnesh K. Sharma
2004	A*	`conf`	Energy-aware user interfaces: an evaluation of user acceptance. CHI Tim Harter, Sander Vroegindeweij, Erik Geelhoed, Meera Manahan, Parthasarathy Ranganathan
2004	—	`conf`	Investigating the Relationship Between Battery Life and User Acceptance of Dynamic, Energy-Aware Interfaces on Handhelds. Mobile HCI Lance Bloom, Rachel Eardley, Erik Geelhoed, Meera Manahan, Parthasarathy Ranganathan
2004	A*	`conf`	Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance. ISCA Rakesh Kumar, Dean M. Tullsen, Parthasarathy Ranganathan, Norman P. Jouppi, Keith I. Farkas
2003	—	`conf`	Energy Consumption in Mobile Devices: Why Future Systems Need Requirements-Aware Energy Scale-Down. PACS Robert N. Mayo, Parthasarathy Ranganathan
2003	A	`conf`	Energy-Adaptive Display System Designs for Future Mobile Environments. MobiSys Subu Iyer, Lu Luo, Robert N. Mayo, Parthasarathy Ranganathan
2003	J	`jnl`	Processor Power Reduction Via Single-ISA Heterogeneous Multi-Core Architectures. IEEE Comput. Archit. Lett. Rakesh Kumar, Keith I. Farkas, Norman P. Jouppi, Parthasarathy Ranganathan, Dean M. Tullsen
2003	A*	`conf`	Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction. MICRO Rakesh Kumar, Keith I. Farkas, Norman P. Jouppi, Parthasarathy Ranganathan, Dean M. Tullsen
2002	—	`conf`	Energy-Driven Statistical Sampling: Detecting Software Hotspots. PACS Fay Chang, Keith I. Farkas, Parthasarathy Ranganathan
2002	J	`jnl`	RSIM: Simulating Shared-Memory Multiprocessors with ILP Processors. Computer Christopher J. Hughes, Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve
2002	J	`jnl`	Topological navigation and qualitative localization for indoor environment using multi-sensory perception. Robotics Auton. Syst. Parthasarathy Ranganathan, Jean-Bernard Hayet, Michel Devy, Seth Hutchinson, Frédéric Lerasle
2000	A*	`conf`	Reconfigurable caches and their application to media processing. ISCA Parthasarathy Ranganathan, Sarita V. Adve, Norman P. Jouppi
1999	A*	`conf`	Performance of Image and Video Processing with General-Purpose Processors and Media ISA Extensions. ISCA Parthasarathy Ranganathan, Sarita V. Adve, Norman P. Jouppi
1999	J	`jnl`	Recent advances in memory consistency models for hardware shared memory systems. Proc. IEEE Sarita V. Adve, Vijay S. Pai, Parthasarathy Ranganathan
1999	J	`jnl`	The Impact of Exploiting Instruction-Level Parallelism on Shared-Memory Multiprocessors. IEEE Trans. Computers Vijay S. Pai, Parthasarathy Ranganathan, Hazim Abdel-Shafi, Sarita V. Adve
1998	A*	`conf`	Performance of Database Workloads on Shared-Memory Systems with Out-of-Order Processors. ASPLOS Parthasarathy Ranganathan, Kourosh Gharachorloo, Sarita V. Adve, Luiz André Barroso
1997	J	`jnl`	RSIM: Rice simulator for ILP multiprocessors. SIGARCH Comput. Archit. News Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve
1997	—	`conf`	RSIM: a simulator for shared-memory multiprocessor and uniprocessor systems that exploit ILP. WCAE@HPCA Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve
1997	A*	`conf`	The Impact of Instruction-Level Parallelism on Multiprocessor Performance and Simulation Methodology. HPCA Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve
1997	A*	`conf`	The Interaction of Software Prefetching with ILP Processors in Shared-Memory Systems. ISCA Parthasarathy Ranganathan, Vijay S. Pai, Hazim Abdel-Shafi, Sarita V. Adve
1997	B	`conf`	Using Speculative Retirement and Larger Instruction Windows to Narrow the Performance Gap Between Memory Consistency Models. SPAA Parthasarathy Ranganathan, Vijay S. Pai, Sarita V. Adve
1996	A*	`conf`	An Evaluation of Memory Consistency Models for Shared-Memory Systems with ILP Processors. ASPLOS Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve, Tracy Harton