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- 031-290-7698
- hyungmin.cho@skku.edu
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Machine Learning Accelerators
관심분야
Computing Platforms for Machine Learning Processor Architecture Hardware Reliability
학력
- Stanford University
학술지 논문
- (2023) FlexKA: A Flexible Karatsuba Multiplier Hardware Architecture for Variable-Sized Large Integers. IEEE ACCESS. 11
- (2022) FARNN: FPGA-GPU Hybrid AccelerationPlatform for Recurrent Neural Networks. IEEE Transactions on Parallel and Distributed Systems. 33, 7
- (2021) SpecMCTS: Accelerating Monte Carlo Tree Search Using Speculative Tree Traversal. IEEE ACCESS. 9, 1
- (2021) RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS. 20, 5
학술회의논문
- (2022) ES4D: Accelerating Exact Similarity Search for High-Dimensional Vectors via Vector Slicing and In-SSD Computation. IEEE International Conference on Computer Design. 미국
- (2022) Know Your Neighbor: Physically Locating Xeon Processor Cores on the Core Tile Grid. Design Automation and Test in Europe Conference. 벨기에