Bogil Kim

According to our database, Bogil Kim authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

NeuroSpector: Systematic Optimization of Dataflow Scheduling in DNN Accelerators.

Chanho Park, Bogil Kim, Sungmin Ryu, William J. Song

IEEE Trans. Parallel Distributed Syst., August, 2023

2021

The Nebula Benchmark Suite: Implications of Lightweight Neural Networks.

Bogil Kim, Sungjae Lee, Chanho Park, Hyeonjin Kim, William J. Song

IEEE Trans. Computers, 2021

2020

Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices.

Bogil Kim, Sungjae Lee, Amit Ranjan Trivedi, William J. Song

IEEE Access, 2020

Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores.

Hyeonjin Kim, Sungwoo Ahn, Yunho Oh, Bogil Kim, Won Woo Ro, William J. Song

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020