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Parthasarathy Ranganathan
Partha Ranganathan
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- affiliation: Google Inc.
- affiliation (former): Hewlett-Packard Labs
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2020 – today
- 2024
- [j38]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): 95-98 (2024) - [c93]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: 192-206 - [c92]Akanksha Jain, Hannah Lin, Carlos Villavieja, Baris Kasikci, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan:
Limoncello: Prefetchers for Scale. ASPLOS (3) 2024: 577-590 - [c91]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 - 2023
- [j37]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): 109-124 (2023) - [c90]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: 343-358 - [c89]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: 727-741 - [c88]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: 39:1-39:17 - [c87]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: 47:1-47:16 - [c86]Parthasarathy Ranganathan:
A Six-Word Story on the Future of VLSI: AI-driven, Software-defined, and Uncomfortably Exciting. VLSI Technology and Circuits 2023: 1-4 - [i9]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i8]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 abs/2306.03964 (2023) - 2022
- [j36]Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela:
Warehouse-Scale Video Acceleration. IEEE Micro 42(4): 18-26 (2022) - [c85]Heiner Litz, Grant Ayers, Parthasarathy Ranganathan:
CRISP: critical slice prefetching. ASPLOS 2022: 300-313 - [i7]Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan:
Learning to Improve Code Efficiency. CoRR abs/2208.05297 (2022) - 2021
- [c84]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: 600-615 - [c83]Zhan Shi, Akanksha Jain, Kevin Swersky, Milad Hashemi, Parthasarathy Ranganathan, Calvin Lin:
A hierarchical neural model of data prefetching. ASPLOS 2021: 861-873 - [c82]Peter H. Hochschild, Paul Turner, Jeffrey C. Mogul, Rama Govindaraju, Parthasarathy Ranganathan, David E. Culler, Amin Vahdat:
Cores that don't count. HotOS 2021: 9-16 - [c81]Sagar Karandikar, Chris Leary, Chris Kennelly, Jerry Zhao, Dinesh Parimi, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan:
A Hardware Accelerator for Protocol Buffers. MICRO 2021: 462-478 - [c80]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: 257-273 - [i6]Carole-Jean Wu, Srilatha Manne, Parthasarathy Ranganathan, Sarah Bird, Shane Greenstein:
Socio-Technological Challenges and Opportunities: Paths Forward. CoRR abs/2108.06738 (2021) - 2020
- [j35]Parthasarathy Ranganathan:
Technical perspective: ASIC clouds: specializing the datacenter. Commun. ACM 63(7): 102 (2020) - [j34]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): 56-63 (2020) - [c79]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: 497-511 - [c78]Grant Ayers, Heiner Litz, Christos Kozyrakis, Parthasarathy Ranganathan:
Classifying Memory Access Patterns for Prefetching. ASPLOS 2020: 513-526 - [c77]Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan:
Autonomous Warehouse-Scale Computers. DAC 2020: 1-6 - [c76]Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi:
Learning Execution through Neural Code fusion. ICLR 2020 - [c75]Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn:
An Imitation Learning Approach for Cache Replacement. ICML 2020: 6237-6247 - [c74]Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi:
Neural Execution Engines: Learning to Execute Subroutines. NeurIPS 2020 - [c73]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: 1241-1255 - [i5]Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi:
Neural Execution Engines: Learning to Execute Subroutines. CoRR abs/2006.08084 (2020) - [i4]Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn:
An Imitation Learning Approach for Cache Replacement. CoRR abs/2006.16239 (2020)
2010 – 2019
- 2019
- [j33]Mark D. Hill, Jon Masters, Parthasarathy Ranganathan, Paul Turner, John L. Hennessy:
On the Spectre and Meltdown Processor Security Vulnerabilities. IEEE Micro 39(2): 9-19 (2019) - [c72]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: 317-330 - [c71]Haishan Zhu, David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Mattan Erez:
Kelp: QoS for Accelerated Machine Learning Systems. HPCA 2019: 172-184 - [c70]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: 462-473 - [i3]Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi:
Learning Execution through Neural Code Fusion. CoRR abs/1906.07181 (2019) - 2018
- [b1]Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan:
The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00633-3 - [c69]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: 316-331 - [c68]Andrea Lottarini, Alex Ramírez, Joel Coburn, Martha A. Kim, Parthasarathy Ranganathan, Daniel Stodolsky, Mark Wachsler:
vbench: Benchmarking Video Transcoding in the Cloud. ASPLOS 2018: 797-809 - [c67]Grant Ayers, Jung Ho Ahn, Christos Kozyrakis, Parthasarathy Ranganathan:
Memory Hierarchy for Web Search. HPCA 2018: 643-656 - [c66]Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan:
Learning Memory Access Patterns. ICML 2018: 1924-1933 - [i2]Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan:
Learning Memory Access Patterns. CoRR abs/1803.02329 (2018) - 2017
- [j32]Luiz André Barroso, Mike Marty, David A. Patterson, Parthasarathy Ranganathan:
Attack of the killer microseconds. Commun. ACM 60(4): 48-54 (2017) - [c65]Parthasarathy Ranganathan:
End of Moore's Law: Or, a Computer Architect's Mid-life Crisis? HiPC 2017: 1 - 2016
- [j31]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): 54-59 (2016) - [j30]David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis:
Improving Resource Efficiency at Scale with Heracles. ACM Trans. Comput. Syst. 34(2): 6:1-6:33 (2016) - 2015
- [c64]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: 158-169 - [c63]David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis:
Heracles: improving resource efficiency at scale. ISCA 2015: 450-462 - 2014
- [j29]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): 93-104 (2014) - [c62]Parthasarathy Ranganathan:
The new (system) balance of power and opportunities for optimizations. ISLPED 2014: 331-332 - 2013
- [c61]Sai Rahul Chalamalasetti, Kevin T. Lim, Mitch Wright, Alvin AuYoung, Parthasarathy Ranganathan, Martin Margala:
An FPGA memcached appliance. FPGA 2013: 245-254 - [c60]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: 36-47 - [c59]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: 409-414 - [c58]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: 468-479 - [c57]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: 1:1-1:17 - 2012
- [j28]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): 61-64 (2012) - [j27]Parthasarathy Ranganathan, Jichuan Chang:
(Re)Designing Data-Centric Data Centers. IEEE Micro 32(1): 66-70 (2012) - [j26]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): 79-87 (2012) - [c56]Jichuan Chang, Justin Meza, Parthasarathy Ranganathan, Amip Shah, Rocky Shih, Cullen E. Bash:
Totally green: evaluating and designing servers for lifecycle environmental impact. ASPLOS 2012: 25-36 - [c55]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: 33-42 - [c54]Doe Hyun Yoon, Tobin Gonzalez, Parthasarathy Ranganathan, Robert S. Schreiber:
Exploring latency-power tradeoffs in deep nonvolatile memory hierarchies. Conf. Computing Frontiers 2012: 95-102 - [c53]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: 189-200 - [c52]Doe Hyun Yoon, Jichuan Chang, Naveen Muralimanohar, Parthasarathy Ranganathan:
BOOM: Enabling mobile memory based low-power server DIMMs. ISCA 2012: 25-36 - [c51]Sai Rahul Chalamalasetti, Martin Margala, Wim Vanderbauwhede, Mitch Wright, Parthasarathy Ranganathan:
Evaluating FPGA-acceleration for real-time unstructured search. ISPASS 2012: 200-209 - 2011
- [j25]Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz:
Topology-aware resource allocation for data-intensive workloads. Comput. Commun. Rev. 41(1): 120-124 (2011) - [j24]Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan:
Loosely coupled coordinated management in virtualized data centers. Clust. Comput. 14(3): 259-274 (2011) - [j23]Priya Mahadevan, Sujata Banerjee, Puneet Sharma, Amip Shah, Parthasarathy Ranganathan:
On energy efficiency for enterprise and data center networks. IEEE Commun. Mag. 49(8): 94-100 (2011) - [j22]Parthasarathy Ranganathan:
From Microprocessors to Nanostores: Rethinking Data-Centric Systems. Computer 44(1): 39-48 (2011) - [j21]Prith Banerjee, Rich Friedrich, Cullen E. Bash, Patrick Goldsack, Bernardo A. Huberman, John Manley, Chandrakant D. Patel, Parthasarathy Ranganathan, Alistair C. Veitch:
Everything as a Service: Powering the New Information Economy. Computer 44(3): 36-43 (2011) - [j20]Parthasarathy Ranganathan, Jichuan Chang:
Saving the World, One Server at a Time, Together. Computer 44(5): 91-93 (2011) - [c50]Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell:
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. FAST 2011: 61-75 - [c49]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: 466-477 - [c48]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: 260-271 - [c47]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: 3:1-3:5 - [c46]Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan:
Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems. USENIX ATC 2011 - 2010
- [j19]Parthasarathy Ranganathan:
Recipe for efficiency: principles of power-aware computing. Commun. ACM 53(4): 60-67 (2010) - [j18]Luiz André Barroso, Parthasarathy Ranganathan:
Guest Editors' Introduction: Datacenter-Scale Computing. IEEE Micro 30(4): 6-7 (2010) - [c45]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: 26 - [c44]Jacob Leverich, Vanish Talwar, Parthasarathy Ranganathan, Christos Kozyrakis:
Evaluating impact of manageability features on device performance. CNSM 2010: 426-430 - [c43]Chengwei Wang, Vanish Talwar, Karsten Schwan, Parthasarathy Ranganathan:
Online detection of utility cloud anomalies using metric distributions. NOMS 2010: 96-103 - [c42]Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan, Randy H. Katz:
Topology-aware resource allocation for data-intensive workloads. ApSys 2010: 1-6
2000 – 2009
- 2009
- [j17]Parthasarathy Ranganathan, Suzanne Rivoire, Justin D. Moore:
Models and Metrics for Energy-Efficient Computing. Adv. Comput. 75: 159-233 (2009) - [j16]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): 48-51 (2009) - [j15]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): 41-49 (2009) - [c41]Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan:
Energy Efficiency: The New Holy Grail of Data Management Systems Research. CIDR 2009 - [c40]Prith Banerjee, Chandrakant D. Patel, Cullen E. Bash, Parthasarathy Ranganathan:
Sustainable data centers: enabled by supply and demand side management. DAC 2009: 884-887 - [c39]Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan:
GViM: GPU-accelerated virtual machines. HPCVirt@EuroSys 2009: 17-24 - [c38]Parthasarathy Ranganathan:
Industrial perspectives panel. HPCA 2009: 325-326 - [c37]Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan:
vManage: loosely coupled platform and virtualization management in data centers. ICAC 2009: 127-136 - [c36]Partha Ranganathan:
Green clouds and black swans in the exascale era. IISWC 2009: 1-2 - [c35]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: 267-278 - [c34]Justin Meza, Mehul A. Shah, Parthasarathy Ranganathan, Mike Fitzner, Judson Veazey:
Tracking the power in an enterprise decision support system. ISLPED 2009: 261-266 - [c33]Priya Mahadevan, Puneet Sharma, Sujata Banerjee, Parthasarathy Ranganathan:
A Power Benchmarking Framework for Network Devices. Networking 2009: 795-808 - [c32]Parthasarathy Ranganathan:
Industrial perspectives panel. PPoPP 2009: 197 - [i1]Stavros Harizopoulos, Mehul A. Shah, Justin Meza, Parthasarathy Ranganathan:
Energy Efficiency: The New Holy Grail of Data Management Systems Research. CoRR abs/0909.1784 (2009) - 2008
- [j14]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): 26-41 (2008) - [c31]Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu:
No "power" struggles: coordinated multi-level power management for the data center. ASPLOS 2008: 48-59 - [c30]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: 293-304 - [c29]Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok:
Fabric convergence implications on systems architecture. HPCA 2008: 15-26 - [c28]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: 315-326 - [c27]Parthasarathy Ranganathan:
Power management from cores to datacenters: where are we going to get the next ten-fold improvements? ISLPED 2008: 139-140 - [c26]Nidhi Aggarwal, James E. Smith, Kewal K. Saluja, Norman P. Jouppi, Parthasarathy Ranganathan:
Implementing high availability memory with a duplication cache. MICRO 2008: 71-82 - [c25]Suzanne Rivoire, Parthasarathy Ranganathan, Christos Kozyrakis:
A Comparison of High-Level Full-System Power Models. HotPower 2008 - [c24]Niraj Tolia, Zhikui Wang, Manish Marwah, Cullen E. Bash, Parthasarathy Ranganathan, Xiaoyun Zhu:
Delivering Energy Proportionality with Non Energy-Proportional Systems - Optimizing the Ensemble. HotPower 2008 - 2007
- [j13]Nidhi Aggarwal, Parthasarathy Ranganathan, Norman P. Jouppi, James E. Smith:
Isolation in Commodity Multicore Processors. Computer 40(6): 49-59 (2007) - [j12]Suzanne Rivoire, Mehul A. Shah, Parthasarathy Ranganathan, Christos Kozyrakis, Justin Meza:
Models and Metrics to Enable Energy-Efficiency Optimizations. Computer 40(12): 39-48 (2007) - [j11]Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok:
General-purpose blade infrastructure for configurable system architectures. Distributed Parallel Databases 21(2-3): 115-144 (2007) - [j10]Kevin Leigh, Parthasarathy Ranganathan, Jaspal Subhlok:
General-purpose blade infrastructure for configurable system architectures. Distributed Parallel Databases 22(2-3): 197-198 (2007) - [c23]