Parthasarathy Ranganathan

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 48

Top Venues

Publications

Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou
The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. 23 (1) (2024)
Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan
Limoncello: Prefetchers for Scale. ASPLOS (3) (2024)
Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
Learning Performance-Improving Code Edits. ICLR (2024)
Zhuangzhuang Zhou, Vaibhav Gogte, Nilay Vaish, Chris Kennelly, Patrick Xia, Svilen Kanev, Tipp Moseley, Christina Delimitrou, Parthasarathy Ranganathan
Characterizing a Memory Allocator at Warehouse Scale. ASPLOS (3) (2024)
Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. IEEE Micro 43 (6) (2023)
Abraham Gonzalez, Aasheesh Kolli, Samira Manabi Khan, Sihang Liu, Vidushi Dadu, Sagar Karandikar, Jichuan Chang, Krste Asanovic, Parthasarathy Ranganathan
Profiling Hyperscale Big Data Processing. ISCA (2023)
Parthasarathy Ranganathan
A Six-Word Story on the Future of VLSI: AI-driven, Software-defined, and Uncomfortably Exciting. VLSI Technology and Circuits (2023)
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
Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) (2023)
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
Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale. ASPLOS (3) (2023)
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
CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems. ISCA (2023)
Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
Learning Performance-Improving Code Edits. CoRR (2023)
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
Fifty Years of ISCA: A data-driven retrospective on key trends. CoRR (2023)
Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela
Warehouse-Scale Video Acceleration. IEEE Micro 42 (4) (2022)
Heiner Litz, Grant Ayers, Parthasarathy Ranganathan
CRISP: critical slice prefetching. ASPLOS (2022)
Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan
Learning to Improve Code Efficiency. CoRR (2022)
Zhan Shi, Akanksha Jain, Kevin Swersky, Milad Hashemi, Parthasarathy Ranganathan, Calvin Lin
A hierarchical neural model of data prefetching. ASPLOS (2021)
A. H. Hunter, Chris Kennelly, Paul Turner, Darryl Gove, Tipp Moseley, Parthasarathy Ranganathan
Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator. OSDI (2021)
Carole-Jean Wu, Srilatha Manne, Parthasarathy Ranganathan, Sarah Bird, Shane Greenstein
Socio-Technological Challenges and Opportunities: Paths Forward. CoRR (2021)
Peter H. Hochschild, Paul Turner, Jeffrey C. Mogul, Rama Govindaraju, Parthasarathy Ranganathan, David E. Culler, Amin Vahdat
Cores that don't count. HotOS (2021)
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
Warehouse-scale video acceleration: co-design and deployment in the wild. ASPLOS (2021)
Sagar Karandikar, Chris Leary, Chris Kennelly, Jerry Zhao, Dinesh Parimi, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan
A Hardware Accelerator for Protocol Buffers. MICRO (2021)
Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi
Learning Execution through Neural Code fusion. ICLR (2020)
Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines. NeurIPS (2020)
Shaohong Li, Xi Wang, Xiao Zhang, Vasileios Kontorinis, Sreekumar Kodakara, David Lo, Parthasarathy Ranganathan
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. OSDI (2020)
Nayana Prasad Nagendra, Grant Ayers, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan
AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers. IEEE Micro 40 (3) (2020)
Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
An Imitation Learning Approach for Cache Replacement. ICML (2020)
Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
An Imitation Learning Approach for Cache Replacement. CoRR (2020)
Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines. CoRR (2020)
Varun Sakalkar, Vasileios Kontorinis, David Landhuis, Shaohong Li, Darren De Ronde, Thomas Blooming, Anand Ramesh, James Kennedy, Christopher Malone, Jimmy Clidaras, Parthasarathy Ranganathan
Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping. ASPLOS (2020)
Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan
Autonomous Warehouse-Scale Computers. DAC (2020)
Parthasarathy Ranganathan
Technical perspective: ASIC clouds: specializing the datacenter. Commun. ACM 63 (7) (2020)
Grant Ayers, Heiner Litz, Christos Kozyrakis, Parthasarathy Ranganathan
Classifying Memory Access Patterns for Prefetching. ASPLOS (2020)
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
Software-Defined Far Memory in Warehouse-Scale Computers. ASPLOS (2019)
Mark D. Hill, Jon Masters, Parthasarathy Ranganathan, Paul Turner, John L. Hennessy
On the Spectre and Meltdown Processor Security Vulnerabilities. IEEE Micro 39 (2) (2019)
Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi
Learning Execution through Neural Code Fusion. CoRR (2019)
Haishan Zhu, David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Mattan Erez
Kelp: QoS for Accelerated Machine Learning Systems. HPCA (2019)
Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan
AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. ISCA (2019)
Grant Ayers, Jung Ho Ahn, Christos Kozyrakis, Parthasarathy Ranganathan
Memory Hierarchy for Web Search. HPCA (2018)
Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks. ASPLOS (2018)
Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan
Learning Memory Access Patterns. ICML (2018)
Andrea Lottarini, Alex Ramírez, Joel Coburn, Martha A. Kim, Parthasarathy Ranganathan, Daniel Stodolsky, Mark Wachsler
vbench: Benchmarking Video Transcoding in the Cloud. ASPLOS (2018)
Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan
Learning Memory Access Patterns. CoRR (2018)
Luiz André Barroso, Mike Marty, David A. Patterson, Parthasarathy Ranganathan
Attack of the killer microseconds. Commun. ACM 60 (4) (2017)
Parthasarathy Ranganathan
End of Moore's Law: Or, a Computer Architect's Mid-life Crisis? HiPC (2017)
Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
Profiling a Warehouse-Scale Computer. IEEE Micro 36 (3) (2016)
David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
Improving Resource Efficiency at Scale with Heracles. ACM Trans. Comput. Syst. 34 (2) (2016)
David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
Heracles: improving resource efficiency at scale. ISCA (2015)
Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks
Profiling a warehouse-scale computer. ISCA (2015)
Parthasarathy Ranganathan
The new (system) balance of power and opportunities for optimizations. ISLPED (2014)
Frederic T. Chong, Martijn J. R. Heck, Parthasarathy Ranganathan, A. A. M. Saleh, Hassan M. G. Wassel
Data Center Energy Efficiency: Improving Energy Efficiency in Data Centers Beyond Technology Scaling. IEEE Des. Test 31 (1) (2014)
Kevin T. Lim, David Meisner, Ali G. Saidi, Parthasarathy Ranganathan, Thomas F. Wenisch
Thin servers with smart pipes: designing SoC accelerators for memcached. ISCA (2013)
Iulian Moraru, David G. Andersen, Michael Kaminsky, Niraj Tolia, Parthasarathy Ranganathan, Nathan L. Binkert
Consistent, durable, and safe memory management for byte-addressable non volatile main memory. TRIOS@SOSP (2013)
Sai Rahul Chalamalasetti, Kevin T. Lim, Mitch Wright, Alvin AuYoung, Parthasarathy Ranganathan, Martin Margala
An FPGA memcached appliance. FPGA (2013)
Yusuf Onur Koçberber, Boris Grot, Javier Picorel, Babak Falsafi, Kevin T. Lim, Parthasarathy Ranganathan
Meet the walkers: accelerating index traversals for in-memory databases. MICRO (2013)
Prateek Tandon, Vahed Qazvinian, Jichuan Chang, Parthasarathy Ranganathan, Ronald G. Dreslinski, Thomas F. Wenisch
Hardware acceleration for similarity measurement in natural language processing. ISLPED (2013)
Jichuan Chang, Parthasarathy Ranganathan, Trevor N. Mudge, David Roberts, Mehul A. Shah, Kevin T. Lim
A limits study of benefits from nanostore-based future data-centric system architectures. Conf. Computing Frontiers (2012)
Doe Hyun Yoon, Tobin Gonzalez, Parthasarathy Ranganathan, Robert S. Schreiber
Exploring latency-power tradeoffs in deep nonvolatile memory hierarchies. Conf. Computing Frontiers (2012)
Kevin T. Lim, Yoshio Turner, Jose Renato Santos, Alvin AuYoung, Jichuan Chang, Parthasarathy Ranganathan, Thomas F. Wenisch
System-level implications of disaggregated memory. HPCA (2012)
Doe Hyun Yoon, Naveen Muralimanohar, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi, Mattan Erez
Free-p: A Practical End-to-End Nonvolatile Memory Protection Mechanism. IEEE Micro 32 (3) (2012)
Jichuan Chang, Justin Meza, Parthasarathy Ranganathan, Amip Shah, Rocky Shih, Cullen Bash
Totally green: evaluating and designing servers for lifecycle environmental impact. ASPLOS (2012)
Doe Hyun Yoon, Jichuan Chang, Naveen Muralimanohar, Parthasarathy Ranganathan
BOOM: Enabling mobile memory based low-power server DIMMs. ISCA (2012)
Parthasarathy Ranganathan, Jichuan Chang
(Re)Designing Data-Centric Data Centers. IEEE Micro 32 (1) (2012)
Justin Meza, Jichuan Chang, HanBin Yoon, Onur Mutlu, Parthasarathy Ranganathan
Enabling Efficient and Scalable Hybrid Memories Using Fine-Granularity DRAM Cache Management. IEEE Comput. Archit. Lett. 11 (2) (2012)
Sai Rahul Chalamalasetti, Martin Margala, Wim Vanderbauwhede, Mitch Wright, Parthasarathy Ranganathan
Evaluating FPGA-acceleration for real-time unstructured search. ISPASS (2012)
Sheng Li, Kevin T. Lim, Paolo Faraboschi, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi
System-level integrated server architectures for scale-out datacenters. MICRO (2011)
Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan
Loosely coupled coordinated management in virtualized data centers. Clust. Comput. 14 (3) (2011)
Priya Mahadevan, Sujata Banerjee, Puneet Sharma, Amip Shah, Parthasarathy Ranganathan
On energy efficiency for enterprise and data center networks. IEEE Commun. Mag. 49 (8) (2011)
John L. Byrne, Jichuan Chang, Kevin T. Lim, Laura L. Ramirez, Parthasarathy Ranganathan
Power-efficient networking for balanced system designs: early experiences with PCIe. HotPower@SOSP (2011)
Parthasarathy Ranganathan, Jichuan Chang
Saving the World, One Server at a Time, Together. Computer 44 (5) (2011)
Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz
Topology-aware resource allocation for data-intensive workloads. Comput. Commun. Rev. 41 (1) (2011)
Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan
Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems. USENIX Annual Technical Conference (2011)
Doe Hyun Yoon, Naveen Muralimanohar, Jichuan Chang, Parthasarathy Ranganathan, Norman P. Jouppi, Mattan Erez
FREE-p: Protecting non-volatile memory against both hard and soft errors. HPCA (2011)
Parthasarathy Ranganathan
From Microprocessors to Nanostores: Rethinking Data-Centric Systems. Computer 44 (1) (2011)
Prith Banerjee, Rich Friedrich, Cullen Bash, Patrick Goldsack, Bernardo A. Huberman, John Manley, Chandrakant D. Patel, Parthasarathy Ranganathan, Alistair Veitch
Everything as a Service: Powering the New Information Economy. Computer 44 (3) (2011)
Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. FAST (2011)
Jacob Leverich, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis
Evaluating impact of manageability features on device performance. CNSM (2010)
Parthasarathy Ranganathan
Recipe for efficiency: principles of power-aware computing. Commun. ACM 53 (4) (2010)
Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz
Topology-aware resource allocation for data-intensive workloads. ApSys (2010)
Luiz André Barroso, Parthasarathy Ranganathan
Guest Editors' Introduction: Datacenter-Scale Computing. IEEE Micro 30 (4) (2010)
Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox, Scott Rixner, Parthasarathy Ranganathan, Jose Renato Santos
sNICh: efficient last hop networking in the data center. ANCS (2010)
Chengwei Wang, Vanish Talwar, Karsten Schwan, Parthasarathy Ranganathan
Online detection of utility cloud anomalies using metric distributions. NOMS (2010)
Parthasarathy Ranganathan
Industrial perspectives panel. PPOPP (2009)
Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan
Energy Efficiency: The New Holy Grail of Data Management Systems Research. CIDR (2009)
Kevin T. Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant D. Patel, Trevor N. Mudge, Steven K. Reinhardt
Server Designs for Warehouse-Computing Environments. IEEE Micro 29 (1) (2009)
Priya Mahadevan, Puneet Sharma, Sujata Banerjee, Parthasarathy Ranganathan
A Power Benchmarking Framework for Network Devices. Networking (2009)
Jacob Leverich, Matteo Monchiero, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis
Power Management of Datacenter Workloads Using Per-Core Power Gating. IEEE Comput. Archit. Lett. 8 (2) (2009)
Parthasarathy Ranganathan
Industrial perspectives panel. HPCA (2009)
Parthasarathy Ranganathan, Suzanne Rivoire, Justin D. Moore
Models and Metrics for Energy-Efficient Computing. Adv. Comput. 75 (2009)
Prith Banerjee, Chandrakant D. Patel, Cullen Bash, Parthasarathy Ranganathan
Sustainable data centers: enabled by supply and demand side management. DAC (2009)
Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan
Energy Efficiency: The New Holy Grail of Data Management Systems Research CoRR (2009)
Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan
vManage: loosely coupled platform and virtualization management in data centers. ICAC (2009)
Kevin T. Lim, Jichuan Chang, Trevor N. Mudge, Parthasarathy Ranganathan, Steven K. Reinhardt, Thomas F. Wenisch
Disaggregated memory for expansion and sharing in blade servers. ISCA (2009)
Justin Meza, Mehul A. Shah, Parthasarathy Ranganathan, Mike Fitzner, Judson Veazey
Tracking the power in an enterprise decision support system. ISLPED (2009)
Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan
GViM: GPU-accelerated virtual machines. HPCVirt@EuroSys (2009)
Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok
Fabric convergence implications on systems architecture. HPCA (2008)
Kevin T. Lim, Parthasarathy Ranganathan, Jichuan Chang, Chandrakant D. Patel, Trevor N. Mudge, Steven K. Reinhardt
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments. ISCA (2008)
Clinton Wills Smullen IV, Shahrukh Rohinton Tarapore, Sudhanva Gurumurthi, Parthasarathy Ranganathan, Mustafa Uysal
Active storage revisited: the case for power and performance benefits for unstructured data processing applications. Conf. Computing Frontiers (2008)
Parthasarathy Ranganathan
Power management from cores to datacenters: where are we going to get the next ten-fold improvements? ISLPED (2008)
Jeffrey C. Mogul, Jayaram Mudigonda, Nathan L. Binkert, Parthasarathy Ranganathan, Vanish Talwar
Using Asymmetric Single-ISA CMPs to Save Energy on Operating Systems. IEEE Micro 28 (3) (2008)
Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu
No "power" struggles: coordinated multi-level power management for the data center. ASPLOS (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Parthasarathy Ranganathan