World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
12781
World Ranking
9059
National Ranking
3848

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to high-performance multiprocessor architecture and communication

Overview

Sudhakar Yalamanchili was affiliated with the Georgia Institute of Technology in the United States. Their research primarily focused on areas within computer science and engineering, with significant contributions in computer networks, hardware architecture, and electrical and electronic engineering.

Their work covered a range of subfields, including:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Yalamanchili's research topics spanned several key domains such as:

  • Parallel Computing and Optimization Techniques
  • Interconnection Networks and Systems
  • Advanced Memory and Neural Computing
  • Supercapacitor Materials and Fabrication
  • Embedded Systems Design Techniques
  • Radiation Effects in Electronics
  • Distributed and Parallel Computing Systems

The scientist's recent scholarly contributions included the following papers:

  • "Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability," published in 2020 by arXiv (Cornell University)
  • "Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware," published in 2021 by IEEE Transactions on Computers
  • "MAHASIM: Machine-Learning Hardware Acceleration Using a Software-Defined Intelligent Memory System," published in 2020 by Journal of Signal Processing Systems

Frequent collaborators in their publications included:

  • Bahar Asgari
  • Maciej Besta
  • Syed Minhaj Hassan
  • Rachata Ausavarungnirun
  • Onur Mutlu

The main venues for their publications were:

  • arXiv (Cornell University)
  • Journal of Signal Processing Systems
  • IEEE Transactions on Computers

In recognition of their work, Sudhakar Yalamanchili was named an IEEE Fellow in 2014 for contributions to high-performance multiprocessor architecture and communication.

Best Publications

  • Interconnection Networks

    Jose Duato;Sudhakar Yalamanchili;Lionel Ni

  • Interconnection Networks: An Engineering Approach

    Jose Duato;Sudhakar Yalamanchili;Lionel Ming-Shuan Ni

  • Interconnection Networks: An Engineering Approach

    Jose Duato;Sudhakar Yalamanchili;Ni Lionel

  • Neurocube: a programmable digital neuromorphic architecture with high-density 3D memory

    Duckhwan Kim;Jaeha Kung;Sek Chai;Sudhakar Yalamanchili

  • Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

    Gregory Frederick Diamos;Andrew Robert Kerr;Sudhakar Yalamanchili;Nathan Clark

  • Harmony: an execution model and runtime for heterogeneous many core systems

    Gregory F. Diamos;Sudhakar Yalamanchili

  • A family of fault-tolerant routing protocols for direct multiprocessor networks

    P.T. Gaughan;S. Yalamanchili

  • On adaptive resource allocation for complex real-time applications

    D. Rosu;K. Schwan;S. Yalamanchili;R. Jha

  • A characterization and analysis of PTX kernels

    Andrew Kerr;Gregory Diamos;Sudhakar Yalamanchili

  • Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community

    J. S. Vetter;R. Glassbrook;J. Dongarra;K. Schwan

  • Modeling GPU-CPU workloads and systems

    Andrew Kerr;Gregory Diamos;Sudhakar Yalamanchili

  • An energy efficient cache design using spin torque transfer (STT) RAM

    Mitchelle Rasquinha;Dhruv Choudhary;Subho Chatterjee;Saibal Mukhopadhyay

  • Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

    Haicheng Wu;Gregory Diamos;Srihari Cadambi;Sudhakar Yalamanchili

  • Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

    Jin Wang;Sudhakar Yalamanchili

  • Power constrained design of multiprocessor interconnection networks

    C.S. Patel;S.M. Chai;S. Yalamanchili;D.E. Schimmel

  • SIMD re-convergence at thread frontiers

    Gregory Diamos;Benjamin Ashbaugh;Subramaniam Maiyuran;Andrew Kerr

  • MMR: a high-performance MultiMedia Router-architecture and design trade-offs

    J. Duato;S. Yalamanchili;M.B. Caminero;D. Love

  • Red Fox: An Execution Environment for Relational Query Processing on GPUs

    Haicheng Wu;Gregory Diamos;Tim Sheard;Molham Aref

  • Power Modeling for GPU Architectures Using McPAT

    Jieun Lim;Nagesh B. Lakshminarayana;Hyesoon Kim;William Song

  • FARA-a framework for adaptive resource allocation in complex real-time systems

    D. Rosu;K. Schwan;S. Yalamanchili

  • A high performance router architecture for interconnection networks

    J. Duato;P. Lopez;F. Silla;S. Yalamanchili

Frequent Co-Authors

Saibal Mukhopadhyay
Saibal Mukhopadhyay Georgia Institute of Technology
José Duato
José Duato Universitat Politècnica de València
Hyesoon Kim
Hyesoon Kim Georgia Institute of Technology
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
George F. Riley
George F. Riley Georgia Institute of Technology
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Krishna V. Palem
Krishna V. Palem Rice University
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)
Sudhanva Gurumurthi
Sudhanva Gurumurthi Advanced Micro Devices (United States)

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