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Chapter and Conference Paper
A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment
Sparse-reward reinforcement learning environments pose a particular challenge because the agent receives infrequent rewards, making it difficult to learn an optimal policy. In this paper, we propose NSSE, a no...
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Chapter and Conference Paper
DRAM Row Activation Energy Optimization for Stride Memory Access on FPGA-Based Systems
FPGA-based systems consisting external memory have been extensively employed in data intensive applications such as signal, image, and network processing. Memory energy is a dominating factor in the overall sy...
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Chapter and Conference Paper
Optimal Dynamic Data Layouts for 2D FFT on 3D Memory Integrated FPGA
FPGAs have been widely used for accelerating various applications. For many data intensive applications, the memory bandwidth can limit the performance. 3D memories with through-silicon-via connections provide...