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Research
Machine Learning Acceleration Intelligent Transportation Systems AI-driven Multi-Level Compilers Quantum Machine Learning Extended Research Areas
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Software
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Youngbin Kim
Visiting Student Joined 2024

Youngbin Kim

Personal Website ↗
Google Scholar ↗

Areas of interest: scratchpad memory management, programmable dataflow accelerators

Recent Publications

  • Revisiting Symptom-Based Fault Tolerant Techniques against Soft Errors
  • dMazeRunner: Optimizing Convolutions on Dataflow Accelerators
  • DMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators
  • Static Function Prefetching for Efficient Code Management on Scratchpad Memory
  • Reducing Code Management Overhead in Software-Managed Multicores

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School of Computing & Augmented Intelligence
Arizona State University
Tempe, AZ 85281

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