Parthasarathy Ranganathan
Parthasarathy (Partha) Ranganathan is currently at Google designing their next-generation systems. Before this, he was a HP Fellow and Chief Technologist at Hewlett Packard Labs where he led their research on systems and datacenters. Dr. Ranganathan's research interests are in systems architecture and manageability, energy-efficiency, and systems modeling and evaluation. He has done extensive work in these areas including key contributions around energy-aware user interfaces, heterogeneous multi-core processors, power capping and power-aware server designs, federated enterprise power management, energy modeling and benchmarking, disaggregated blade server architectures, and most recently, storage hierarchy and systems redesign for non-volatile memory. He was also one of the primary developers of the publicly distributed Rice Simulator for ILP Multiprocessors (RSIM).
Dr. Ranganathan's work has led to broad impact on both academia and industry including several commercial products such as Power Capping and HP Moonshot servers. He holds more than 50 patents (with another 45 pending) and has published extensively, including several award-winning papers. He also teaches regularly (including, most recently, at Stanford) and has contributed to several popular computer architecture textbooks. Dr. Ranganathan and his work have been featured on numerous occasions in the press including the New York Times, Wall Street Journal, Business Week, San Francisco Chronicle, Times of India, Slashdot, Youtube, and Tom's hardware guide. Dr. Ranganathan has been named one of the world's top young innovators by MIT Technology Review, as one of the top 15 enterprise technology rock stars by Business Insider, and has been recognized with several other awards including the ACM SIGARCH Maurice Wilkes award and Rice University's Outstanding Young Engineering Alumni award. Dr. Ranganathan received his B.Tech degree from the Indian Institute of Technology, Madras and his M.S. and Ph.D. from Rice University, Houston. He is also an ACM and IEEE Fellow.
Authored Publications
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Characterizing a Memory Allocator at Warehouse Scale
Zhuangzhuang Zhou
Nilay Vaish
Patrick Xia
Christina Delimitrou
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, Association for Computing Machinery, La Jolla, CA, USA (2024), 192–206
Limoncello: Prefetchers for Scale
Carlos Villavieja
Baris Kasikci
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Association for Computing Machinery, New York, NY, United States (2024)
Retrospective: Profiling a warehouse-scale computer
Juan Pablo Darago
Kim Hazelwood
Gu-Yeon Wei
David Brooks
International Symposium on Computer Architecture (ISCA) (2023)
Profiling Hyperscale Big Data Processing
Aasheesh Kolli
Abraham Gonzalez
Samira Khan
Sihang Liu
Krste Asanovic
ISCA (2023)
CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems
Ani Udipi
JunSun Choi
Joonho Whangbo
Jerry Zhao
Edwin Lim
Vrishab Madduri
Yakun Sophia Shao
Borivoje Nikolic
Krste Asanovic
Proceedings of the 50th Annual International Symposium on Computer Architecture, Association for Computing Machinery, New York, NY, USA (2023)
CRISP: Critical Slice Prefetching
Heiner Litz
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (2022), pp. 300-313
Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator
Andrew Hamilton Hunter
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21) (2021) (to appear)
Warehouse-Scale Video Acceleration: Co-design and Deployment in the Wild
Danner Stodolsky
Jeff Calow
Jeremy Dorfman
Clint Smullen
Aki Kuusela
Aaron James Laursen
Alex Ramirez
Alvin Adrian Wijaya
Amir Salek
Anna Cheung
Ben Gelb
Brian Fosco
Cho Mon Kyaw
Dake He
David Alexander Munday
David Wickeraad
Devin Persaud
Don Stark
Drew Walton
Elisha Indupalli
Fong Lou
Hon Kwan Wu
In Suk Chong
Indira Jayaram
Jia Feng
JP Maaninen
Kyle Alan Lucke
Maire Mahony
Mark Steven Wachsler
Mercedes Tan
Narayana Penukonda
Niranjani Dasharathi
Poonacha Kongetira
Prakash Chauhan
Raghuraman Balasubramanian
Ramon Macias
Richard Ho
Rob Springer
Roy W Huffman
Sandeep Bhatia
Sarah J. Gwin
Sathish K Sekar
Srikanth Muroor
Ville-Mikko Rautio
Yolanda Ripley
Yoshiaki Hase
Yuan Li
Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Association for Computing Machinery, New York, NY, USA (2021), pp. 600-615
Cores that don't count
Rama Krishna Govindaraju
Proc. 18th Workshop on Hot Topics in Operating Systems (HotOS 2021)
A Hierarchical Neural Model of Data Prefetching
Zhan Shi
Akanksha Jain
Calvin Lin
Architectural Support for Programming Languages and Operating Systems (ASPLOS) (2021)
