Sanmukh R. Kuppannagari

University of Southern California, Southern California University for Professional Studies

Papers

6

Total Citations

96

H-Index

5

About

No biography available yet.

Research Focus

Reinforcement learning6 · 96 citations
Computer science6 · 96 citations
Artificial intelligence6 · 96 citations
Parallel computing5 · 88 citations
Embedded system4 · 78 citations
Field-programmable gate array4 · 78 citations
Computer architecture3 · 70 citations
Distributed computing4 · 69 citations
Throughput3 · 65 citations
Algorithm3 · 62 citations
Computer engineering3 · 62 citations
Inference2 · 57 citations

Key Achievements

5
H-Index
6
Papers
96
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms
46 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Southern California, Southern California University for Professional Studies

Top Papers

  1. 1
    Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms
    46 citations · 2020
  2. 2
    QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators
    19 citations · 2020
  3. 3
    PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization
    11 citations · 2021
  4. 4
    QTAccel
    8 citations · 2020
  5. 5
    Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
    7 citations · 2021
  6. 6
    How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms
    5 citations · 2020

Key Collaborators

VKViktor K. Prasanna6 shared papersYMYuan Meng5 shared papersRKRajgopal Kannan4 shared papersRRRachit Rajat2 shared papersASAjitesh Srivastava2 shared papersCZChi Zhang1 shared papersYYYang Yang1 shared papers
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