Parthasarathy Ranganathan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
30
Active years
1996–2026
Best venue rank
A*
Where they publish
- A*ASPLOS18 papers
- A*ISCA17 papers
- A*HPCA9 papers
- A*MICRO5 papers
- A*OSDI4 papers
- AISLPED4 papers
- A*ICLR2 papers
- A*DAC2 papers
- A*ICML2 papers
- A*SOSP2 papers
- AUSENIX2 papers
- CCLUSTER2 papers
- A*EMNLP1 paper
- AHotOS1 paper
- NationalHiPC1 paper
- AFPGA1 paper
- BISPASS1 paper
- AFAST1 paper
- BCNSM1 paper
- BNOMS1 paper
- A*SIGCOMM1 paper
- ACIDR1 paper
- AEuroSys1 paper
- BNetworking1 paper
- BPPoPP1 paper
- A*SIGMOD1 paper
- A*CHI1 paper
- AMobisys1 paper
- BSPAA1 paper
- NationalWCAE1 paper
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Unicorns, Centaurs, and Cyborgs: Co-design Powering the Intelligence Era. | Parthasarathy Ranganathan |
| 2026 | ISCA | Prometheus: Toward Resilient Data Centers through Optimized Cooling Infrastructure. | Sourav Patel, Pratyush Kumar, Youzhi Liang, Thomas Kowalski, Nick Care, Wenjie Dong, Greg Imwalle, Rita Lu, Jeremy Rice, Nick Saddock, Rick Vengalath, Urs Hlzle, Benjamin C. Lee, Parthasarathy Ranganathan |
| 2025 | ASPLOS | Necro-reaper: Pruning away Dead Memory Traffic in Warehouse-Scale Computers. | Sotiris Apostolakis, Chris Kennelly, Xinliang David Li, Parthasarathy Ranganathan |
| 2025 | EMNLP | Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG. | Mossad Helali, Yutai Luo, Tae Jun Ham, Jim Plotts, Ashwin Chaugule, Jichuan Chang, Parthasarathy Ranganathan, Essam Mansour |
| 2025 | HPCA | The Importance of Generalizability in Machine Learning for Systems. | Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou |
| 2025 | ISCA | Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion. | 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 |
| 2024 | ASPLOS | Limoncello: Prefetchers for Scale. | Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan |
| 2024 | ASPLOS | Characterizing a Memory Allocator at Warehouse Scale. | Zhuangzhuang Zhou, Vaibhav Gogte, Nilay Vaish, Chris Kennelly, Patrick Xia, Svilen Kanev, Tipp Moseley, Christina Delimitrou, Parthasarathy Ranganathan |
| 2024 | ICLR | Learning Performance-Improving Code Edits. | Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh |
| 2023 | ASPLOS | Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale. | 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 |
| 2023 | ASPLOS | Hyperscale Hardware Optimized Neural Architecture Search. | 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 | ISCA | Profiling Hyperscale Big Data Processing. | Abraham Gonzalez, Aasheesh Kolli, Samira Manabi Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanovic, Parthasarathy Ranganathan |
| 2023 | ISCA | CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. | 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 |
| 2022 | ASPLOS | CRISP: critical slice prefetching. | Heiner Litz, Grant Ayers, Parthasarathy Ranganathan |
| 2021 | ASPLOS | Warehouse-scale video acceleration: co-design and deployment in the wild. | 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 Ramrez, 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 |
| 2021 | ASPLOS | A hierarchical neural model of data prefetching. | Zhan Shi, Akanksha Jain, Kevin Swersky, Milad Hashemi, Parthasarathy Ranganathan, Calvin Lin |
| 2021 | HotOS | Cores that don't count. | Peter H. Hochschild, Paul Turner, Jeffrey C. Mogul, Rama K. Govindaraju, Parthasarathy Ranganathan, David E. Culler, Amin Vahdat |
| 2021 | MICRO | A Hardware Accelerator for Protocol Buffers. | Sagar Karandikar, Chris Leary, Chris Kennelly, Jerry Zhao, Dinesh Parimi, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan |
| 2021 | OSDI | Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator. | A. H. Hunter, Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, Parthasarathy Ranganathan |
| 2020 | ASPLOS | Classifying Memory Access Patterns for Prefetching. | Grant Ayers, Heiner Litz, Christos Kozyrakis, Parthasarathy Ranganathan |
| 2020 | ASPLOS | Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping. | Varun Sakalkar, Vasileios Kontorinis, David Landhuis, Shaohong Li, Darren De Ronde, Thomas Blooming, Anand Ramesh, James Kennedy, Christopher Malone, Jimmy Clidaras, Parthasarathy Ranganathan |
| 2020 | DAC | Autonomous Warehouse-Scale Computers. | Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan |
| 2020 | ICLR | Learning Execution through Neural Code fusion. | Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi |
| 2020 | ICML | An Imitation Learning Approach for Cache Replacement. | Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn |
| 2020 | OSDI | Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. | Shaohong Li, Xi Wang, Xiao Zhang, Vasileios Kontorinis, Sreekumar Kodakara, David Lo, Parthasarathy Ranganathan |
| 2019 | ASPLOS | Software-Defined Far Memory in Warehouse-Scale Computers. | H. Andrs 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 |
| 2019 | HPCA | Kelp: QoS for Accelerated Machine Learning Systems. | Haishan Zhu, David Lo, Liqun Cheng, Rama K. Govindaraju, Parthasarathy Ranganathan, Mattan Erez |
| 2019 | ISCA | AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. | Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan |
| 2018 | ASPLOS | Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks. | Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu |
| 2018 | ASPLOS | vbench: Benchmarking Video Transcoding in the Cloud. | Andrea Lottarini, Alex Ramrez, Joel Coburn, Martha A. Kim, Parthasarathy Ranganathan, Daniel Stodolsky, Mark Wachsler |
| 2018 | HPCA | Memory Hierarchy for Web Search. | Grant Ayers, Jung Ho Ahn, Christos Kozyrakis, Parthasarathy Ranganathan |
| 2018 | ICML | Learning Memory Access Patterns. | Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan |
| 2017 | HiPC | End of Moore's Law: Or, a Computer Architect's Mid-life Crisis? | Parthasarathy Ranganathan |
| 2015 | ISCA | Profiling a warehouse-scale computer. | Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks |
| 2015 | ISCA | Heracles: improving resource efficiency at scale. | David Lo, Liqun Cheng, Rama K. Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis |
| 2014 | ISLPED | The new (system) balance of power and opportunities for optimizations. | Parthasarathy Ranganathan |
| 2013 | FPGA | An FPGA memcached appliance. | Sai Rahul Chalamalasetti, Kevin T. Lim, Mitch Wright, Alvin AuYoung, Parthasarathy Ranganathan, Martin Margala |
| 2013 | ISCA | Thin servers with smart pipes: designing SoC accelerators for memcached. | Kevin T. Lim, David Meisner, Ali G. Saidi, Parthasarathy Ranganathan, Thomas F. Wenisch |
| 2013 | ISLPED | Hardware acceleration for similarity measurement in natural language processing. | Prateek Tandon, Vahed Qazvinian, Jichuan Chang, Parthasarathy Ranganathan, Ronald G. Dreslinski, Thomas F. Wenisch |
| 2013 | MICRO | Meet the walkers: accelerating index traversals for in-memory databases. | Yusuf Onur Koberber, Boris Grot, Javier Picorel, Babak Falsafi, Kevin T. Lim, Parthasarathy Ranganathan |
| 2013 | SOSP | Consistent, durable, and safe memory management for byte-addressable non volatile main memory. | Iulian Moraru, David G. Andersen, Michael Kaminsky, Niraj Tolia, Parthasarathy Ranganathan, Nathan L. Binkert |
| 2012 | ASPLOS | Totally green: evaluating and designing servers for lifecycle environmental impact. | Jichuan Chang, Justin Meza, Parthasarathy Ranganathan, Amip Shah, Rocky Shih, Cullen E. Bash |
| 2012 | HPCA | System-level implications of disaggregated memory. | Kevin T. Lim, Yoshio Turner, Jose Renato Santos, Alvin AuYoung, Jichuan Chang, Parthasarathy Ranganathan, Thomas F. Wenisch |
| 2012 | ISCA | BOOM: Enabling mobile memory based low-power server DIMMs. | Doe Hyun Yoon, Jichuan Chang, Naveen Muralimanohar, Parthasarathy Ranganathan |
| 2012 | ISPASS | Evaluating FPGA-acceleration for real-time unstructured search. | Sai Rahul Chalamalasetti, Martin Margala, Wim Vanderbauwhede, Mitch Wright, Parthasarathy Ranganathan |
| 2011 | FAST | Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. | Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell |
| 2011 | HPCA | FREE-p: Protecting non-volatile memory against both hard and soft errors. | Doe Hyun Yoon, Naveen Muralimanohar, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi, Mattan Erez |
| 2011 | MICRO | System-level integrated server architectures for scale-out datacenters. | Sheng Li, Kevin T. Lim, Paolo Faraboschi, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi |
| 2011 | USENIX | Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems. | Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan |
| 2011 | SOSP | Power-efficient networking for balanced system designs: early experiences with PCIe. | John L. Byrne, Jichuan Chang, Kevin T. Lim, Laura L. Ramirez, Parthasarathy Ranganathan |
| 2010 | CNSM | Evaluating impact of manageability features on device performance. | Jacob Leverich, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis |
| 2010 | NOMS | Online detection of utility cloud anomalies using metric distributions. | Chengwei Wang, Vanish Talwar, Karsten Schwan, Parthasarathy Ranganathan |
| 2010 | SIGCOMM | Topology-aware resource allocation for data-intensive workloads. | Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz |
| 2009 | CIDR | Energy Efficiency: The New Holy Grail of Data Management Systems Research. | Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan |
| 2009 | DAC | Sustainable data centers: enabled by supply and demand side management. | Prith Banerjee, Chandrakant D. Patel, Cullen E. Bash, Parthasarathy Ranganathan |
| 2009 | EuroSys | GViM: GPU-accelerated virtual machines. | Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan |
| 2009 | HPCA | Industrial perspectives panel. | Parthasarathy Ranganathan |
| 2009 | ISCA | Disaggregated memory for expansion and sharing in blade servers. | Kevin T. Lim, Jichuan Chang, Trevor N. Mudge, Parthasarathy Ranganathan, Steven K. Reinhardt, Thomas F. Wenisch |
| 2009 | ISLPED | Tracking the power in an enterprise decision support system. | Justin Meza, Mehul A. Shah, Parthasarathy Ranganathan, Mike Fitzner, Judson Veazey |
| 2009 | Networking | A Power Benchmarking Framework for Network Devices. | Priya Mahadevan, Puneet Sharma, Sujata Banerjee, Parthasarathy Ranganathan |
| 2009 | PPoPP | Industrial perspectives panel. | Parthasarathy Ranganathan |
| 2008 | ASPLOS | No "power" struggles: coordinated multi-level power management for the data center. | Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu |
| 2008 | HPCA | Fabric convergence implications on systems architecture. | Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok |
| 2008 | ISCA | Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments. | Kevin T. Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant D. Patel, Trevor N. Mudge, Steven K. Reinhardt |
| 2008 | ISLPED | Power management from cores to datacenters: where are we going to get the next ten-fold improvements? | Parthasarathy Ranganathan |
| 2008 | MICRO | Implementing high availability memory with a duplication cache. | Nidhi Aggarwal, James E. Smith, Kewal K. Saluja, Norman P. Jouppi, Parthasarathy Ranganathan |
| 2008 | OSDI | A Comparison of High-Level Full-System Power Models. | Suzanne Rivoire, Parthasarathy Ranganathan, Christos Kozyrakis |
| 2008 | OSDI | Delivering Energy Proportionality with Non Energy-Proportional Systems - Optimizing the Ensemble. | Niraj Tolia, Zhikui Wang, Manish Marwah, Cullen E. Bash, Parthasarathy Ranganathan, Xiaoyun Zhu |
| 2007 | CLUSTER | Cost-aware scheduling for heterogeneous enterprise machines (CASH'EM). | Jennifer Burge, Parthasarathy Ranganathan, Janet L. Wiener |
| 2007 | CLUSTER | Motivating co-ordination of power management solutions in data centers. | Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Xiaoyun Zhu, Zhikui Wang |
| 2007 | ISCA | Configurable isolation: building high availability systems with commodity multi-core processors. | Nidhi Aggarwal, Parthasarathy Ranganathan, Norman P. Jouppi, James E. Smith |
| 2007 | SIGMOD | JouleSort: a balanced energy-efficiency benchmark. | Suzanne Rivoire, Mehul A. Shah, Parthasarathy Ranganathan, Christos Kozyrakis |
| 2006 | ISCA | Ensemble-level Power Management for Dense Blade Servers. | Parthasarathy Ranganathan, Phil Leech, David Irwin, Jeffrey S. Chase |
| 2005 | HPCA | Enterprise IT Trends and Implications for Architecture Research. | Parthasarathy Ranganathan, Norman P. Jouppi |
| 2005 | USENIX | Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers. | Justin D. Moore, Jeffrey S. Chase, Parthasarathy Ranganathan, Ratnesh K. Sharma |
| 2004 | CHI | Energy-aware user interfaces: an evaluation of user acceptance. | Tim Harter, Sander Vroegindeweij, Erik Geelhoed, Meera Manahan, Parthasarathy Ranganathan |
| 2004 | ISCA | Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance. | Rakesh Kumar, Dean M. Tullsen, Parthasarathy Ranganathan, Norman P. Jouppi, Keith I. Farkas |
| 2003 | MICRO | Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction. | Rakesh Kumar, Keith I. Farkas, Norman P. Jouppi, Parthasarathy Ranganathan, Dean M. Tullsen |
| 2003 | Mobisys | Energy-Adaptive Display System Designs for Future Mobile Environments. | Subu Iyer, Lu Luo, Robert N. Mayo, Parthasarathy Ranganathan |
| 2000 | ISCA | Reconfigurable caches and their application to media processing. | Parthasarathy Ranganathan, Sarita V. Adve, Norman P. Jouppi |
| 1999 | ISCA | Performance of Image and Video Processing with General-Purpose Processors and Media ISA Extensions. | Parthasarathy Ranganathan, Sarita V. Adve, Norman P. Jouppi |
| 1998 | ASPLOS | Performance of Database Workloads on Shared-Memory Systems with Out-of-Order Processors. | Parthasarathy Ranganathan, Kourosh Gharachorloo, Sarita V. Adve, Luiz Andr Barroso |
| 1997 | HPCA | The Impact of Instruction-Level Parallelism on Multiprocessor Performance and Simulation Methodology. | Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve |
| 1997 | ISCA | The Interaction of Software Prefetching with ILP Processors in Shared-Memory Systems. | Parthasarathy Ranganathan, Vijay S. Pai, Hazim Abdel-Shafi, Sarita V. Adve |
| 1997 | SPAA | Using Speculative Retirement and Larger Instruction Windows to Narrow the Performance Gap Between Memory Consistency Models. | Parthasarathy Ranganathan, Vijay S. Pai, Sarita V. Adve |
| 1997 | WCAE | RSIM: a simulator for shared-memory multiprocessor and uniprocessor systems that exploit ILP. | Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve |
| 1996 | ASPLOS | An Evaluation of Memory Consistency Models for Shared-Memory Systems with ILP Processors. | Vijay S. Pai, Parthasarathy Ranganathan, Sarita V. Adve, Tracy Harton |