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Engineering and Technology

D-Index
35
Citations
5029
World Ranking
8982
National Ranking
2508

Research.com Recognitions

  • 2011 - ACM Senior Member

Overview

Sudhanva Gurumurthi is affiliated with Advanced Micro Devices in the United States. Their research spans the fields of Computer Science and Engineering, with a focus on subfields including Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition.

Their main topics of work cover Radiation Effects in Electronics, Semiconductor materials and devices, Parallel Computing and Optimization Techniques, Distributed systems and fault tolerance, Interconnection Networks and Systems, Adversarial Robustness in Machine Learning, and Advanced Neural Network Applications.

Notable recent publications by Sudhanva Gurumurthi include:

  • HBM3 RAS: Enhancing Resilience at Scale (2021) published in IEEE Computer Architecture Letters
  • Special Issue on Top Picks From the 2021 Computer Architecture Conferences (2022) published in IEEE Micro

Frequent co-authors they have collaborated with include Vilas Sridharan, Majed Valad Beigi, Ki-Jun Lee, Munseon Jang, and Aaron Nygren. Their work has appeared in key venues such as IEEE Computer Architecture Letters, arXiv (Cornell University), 2022 IEEE International Reliability Physics Symposium (IRPS), and IEEE Micro.

Sudhanva Gurumurthi was recognized as an ACM Senior Member in 2011.

Best Publications

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

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke

  • Relaxing non-volatility for fast and energy-efficient STT-RAM caches

    Clinton W. Smullen;Vidyabhushan Mohan;Anurag Nigam;Sudhanva Gurumurthi

  • Memory Errors in Modern Systems: The Good, The Bad, and The Ugly

    Vilas Sridharan;Nathan DeBardeleben;Sean Blanchard;Kurt B. Ferreira

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

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

  • Feng shui of supercomputer memory: positional effects in DRAM and SRAM faults

    Vilas Sridharan;Jon Stearley;Nathan DeBardeleben;Sean Blanchard

  • GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications

    Bo Fang;Karthik Pattabiraman;Matei Ripeanu;Sudhanva Gurumurthi

  • Dynamic prediction of architectural vulnerability from microarchitectural state

    Kristen R. Walcott;Greg Humphreys;Sudhanva Gurumurthi

  • ICR: in-cache replication for enhancing data cache reliability

    Wei Zhang;S. Gurumurthi;M. Kandemir;A. Sivasubramaniam

  • Phase Change Memory: From Devices to Systems

    Moinuddin K. Qureshi;Sudhanva Gurumurthi;Bipin Rajendran

  • Delivering on the promise of universal memory for spin-transfer torque RAM (STT-RAM)

    Anurag Nigam;Clinton W. Smullen;Vidyabhushan Mohan;Eugene Chen

  • Reducing disk power consumption in servers with DRPM

    S. Gurumurthi;A. Sivasubramaniam;M. Kandemir;H. Franke

  • Achieving Exascale Capabilities through Heterogeneous Computing

    Michael J. Schulte;Mike Ignatowski;Gabriel H. Loh;Bradford M. Beckmann

  • Differentiating the roles of IR measurement and simulation for power and temperature-aware design

    Wei Huang;Kevin Skadron;Sudhanva Gurumurthi;Robert J. Ribando

  • Disk Drive Roadmap from the Thermal Perspective: A Case for Dynamic Thermal Management

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Vivek K. Natarajan

  • Understanding the performance-temperature interactions in disk I/O of server workloads

    Youngjae Kim;S. Gurumurthi;A. Sivasubramaniam

  • Interplay of energy and performance for disk arrays running transaction processing workloads

    S. Gurumurthi;Jianyong Zhang;A. Sivasubramaniam;M. Kandemir

  • Real-world design and evaluation of compiler-managed GPU redundant multithreading

    Jack Wadden;Alexander Lyashevsky;Sudhanva Gurumurthi;Vilas Sridharan

  • Method, system, and computer program product for malware detection analysis, and response

    David E. Evans;Adrienne P. Felt;Nathanael R. Paul;Sudhanva Gurumurthi

  • How i learned to stop worrying and love flash endurance

    Vidyabhushan Mohan;Taniya Siddiqua;Sudhanva Gurumurthi;Mircea R. Stan

  • GPGPUs: how to combine high computational power with high reliability

    L. Bautista Gomez;F. Cappello;L. Carro;N. DeBardeleben

Frequent Co-Authors

Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
Mircea R. Stan
Mircea R. Stan University of Virginia
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
Karthik Pattabiraman
Karthik Pattabiraman University of British Columbia
Mary Jane Irwin
Mary Jane Irwin Pennsylvania State University
Kevin Skadron
Kevin Skadron University of Virginia
Matei Ripeanu
Matei Ripeanu University of British Columbia
Hubertus Franke
Hubertus Franke IBM (United States)
N. Vijaykrishnan
N. Vijaykrishnan Pennsylvania State University
Wei Huang
Wei Huang Advanced Micro Devices (Canada)

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