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.
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