World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
15118
World Ranking
2619
National Ranking
1301

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to power management of datacenters and high-end computer systems
  • 2010 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Anand Sivasubramaniam is affiliated with Pennsylvania State University in the United States and has contributed extensively to the field of computer science, with a focus on multiple subfields and research topics.

The scientist's research spans several main fields, primarily computer science. Within this broad area, subfields of particular interest include computer networks and communications, artificial intelligence, computer vision and pattern recognition, hardware and architecture, and electrical and electronic engineering.

Their work addresses a variety of specialized topics, including parallel computing and optimization techniques, IoT and edge/fog computing, advanced graph neural networks, context-aware activity recognition systems, cloud computing and resource management, advanced data storage technologies, and advanced memory and neural computing.

Publications by Anand Sivasubramaniam have appeared frequently in venues such as arXiv (Cornell University), ACM Transactions on Cyber-Physical Systems, ACM Transactions on Internet of Things, the 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), and IEEE Micro.

  • User Placement and Optimal Cooling Energy for Co-working Building Spaces (2021), ACM Transactions on Cyber-Physical Systems
  • IoTRepair: Flexible Fault Handling in Diverse IoT Deployments (2022), ACM Transactions on Internet of Things
  • Exploiting Frame Similarity for Efficient Inference on Edge Devices (2022), 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
  • Data Center Power and Energy Management: Past, Present, and Future (2024), IEEE Micro
  • Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks (2021), arXiv (Cornell University)

Frequent collaborators in Anand Sivasubramaniam's research include Mahmut Kandemir, Morteza Ramezani, Z. Berkay Celik, Shulin Zhao, and Patrick McDaniel.

Recognition in the scientific community includes awards such as ACM Fellow for contributions to power management of datacenters and high-end computer systems awarded in 2017, as well as ACM Distinguished Member in 2010 and ACM Senior Member in 2009.

Best Publications

  • Managing server energy and operational costs in hosting centers

    Yiyu Chen;Amitayu Das;Wubi Qin;Anand Sivasubramaniam

  • Evaluating STT-RAM as an energy-efficient main memory alternative

    Emre Kultursay;Mahmut Kandemir;Anand Sivasubramaniam;Onur Mutlu

  • DRPM: dynamic speed control for power management in server class disks

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke

  • Optimal power cost management using stored energy in data centers

    Rahul Urgaonkar;Bhuvan Urgaonkar;Michael J. Neely;Anand Sivasubramaniam

  • BlueGene/L Failure Analysis and Prediction Models

    Y. Liang;Y. Zhang;M. Jette;Anand Sivasubramaniam

  • Critical event prediction for proactive management in large-scale computer clusters

    R. K. Sahoo;A. J. Oliner;I. Rish;M. Gupta

  • Failure data analysis of a large-scale heterogeneous server environment

    R.K. Sahoo;M.S. Squillante;A. Sivasubramaniam;Yanyong Zhang

  • Using complete machine simulation for software power estimation: the SoftWatt approach

    S. Gurumurthi;A. Sivasubramaniam;M.J. Irwin;N. Vijaykrishnan

  • Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms

    Sriram Govindan;Arjun R. Nath;Amitayu Das;Bhuvan Urgaonkar

  • Energy storage in datacenters: what, where, and how much?

    Di Wang;Chuangang Ren;Anand Sivasubramaniam;Bhuvan Urgaonkar

  • Benefits and limitations of tapping into stored energy for datacenters

    Sriram Govindan;Anand Sivasubramaniam;Bhuvan Urgaonkar

  • Cuanta: quantifying effects of shared on-chip resource interference for consolidated virtual machines

    Sriram Govindan;Jie Liu;Aman Kansal;Anand Sivasubramaniam

  • DRAM energy management using software and hardware directed power mode control

    V. Delaluz;M. Kandemir;N. Vijaykrishnan;A. Sivasubramaniam

  • Organizing the last line of defense before hitting the memory wall for CMPs

    C. Liu;Anand Sivasubramaniam;M. Kandemir

  • SSD Failures in Datacenters: What, When and Why?

    Iyswarya Narayanan;Di Wang;Myeongjae Jeon;Bikash Sharma

  • Going the distance for TLB prefetching: an application-driven study

    Gokul B. Kandiraju;Anand Sivasubramaniam

  • Scheduler-based DRAM energy management

    V. Delaluz;A. Sivasubramaniam;M. Kandemir;N. Vijaykrishnan

  • Carbon-Aware Energy Capacity Planning for Datacenters

    Chuangang Ren;Di Wang;Bhuvan Urgaonkar;Anand Sivasubramaniam

  • Semantic small world: an overlay network for peer-to-peer search

    Mei Li;Wang-Chien Lee;A. Sivasubramaniam

  • Filtering failure logs for a BlueGene/L prototype

    Y. Liang;Y. Zhang;A. Sivasubramaniam;R.K. Sahoo

  • Evaluating STT -RAM a s an Energy-Effic ient Main Memory Alternative

    Emre Kultursay;Mahmut T. Kandemir;Anand Sivasubramaniam

Frequent Co-Authors

Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
Chita R. Das
Chita R. Das Pennsylvania State University
Bhuvan Urgaonkar
Bhuvan Urgaonkar Pennsylvania State University
Mary Jane Irwin
Mary Jane Irwin Pennsylvania State University
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China
Sudhanva Gurumurthi
Sudhanva Gurumurthi Advanced Micro Devices (United States)
N. Vijaykrishnan
N. Vijaykrishnan Pennsylvania State University
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University
Hubertus Franke
Hubertus Franke IBM (United States)
José E. Moreira
José E. Moreira IBM (United States)

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