Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jeeson Kim"'
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 1, Pp n/a-n/a (2023)
Computing‐in‐memory (CIM) is considered a feasible solution to the acceleration of multiply‐accumulate (MAC) operations at low power. The key to CIM is parallel MAC operations in the memory domain, and thus reductions in power consumption and m
Externí odkaz:
https://doaj.org/article/5c242a4a1825460e9042652551c4d81f
Autor:
Jeeson Kim
Publikováno v:
Frontiers in Communications and Networks, Vol 3 (2022)
Physical unclonable function (PUF) exploits advantages of otherwise undesirable non-idealities to create physical systems that are difficult to copy even with the same manufacturing process. Nano-intrinsic PUFs use the variability of nanotechnology p
Externí odkaz:
https://doaj.org/article/90b5f11f0c904b4093a168861aa31f1a
Autor:
Kanghyeok Jeon, Jeeson Kim, Jin Joo Ryu, Seung-Jong Yoo, Choongseok Song, Min Kyu Yang, Doo Seok Jeong, Gun Hwan Kim
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Memory-centric computing refers to computing designs where the memory, rather than the processor is central in the architecture. Here, the authors demonstrate a self-rectifying resistive memory cell that exhibits impressive endurance, and low power c
Externí odkaz:
https://doaj.org/article/df7a953c2ed84c2c82ccbabc034c41c7
Publikováno v:
IEEE Access, Vol 8, Pp 69426-69437 (2020)
In a multicore neuromorphic processor embedding a learning algorithm, a presynaptic neuron is occasionally located in a different core from the cores of its postsynaptic neurons, which needs neuron-to-target core communication for inference through a
Externí odkaz:
https://doaj.org/article/f4a819b34317427f8f84513752e9e57b
Publikováno v:
IEEE Access, Vol 7, Pp 137620-137628 (2019)
Recently, resistance switch-based content-addressable memory (RCAM) has been proposed as an alternative to the mainstream static random-access memory-based CAM because of its high integration potential and low static energy consumption. However, RCAM
Externí odkaz:
https://doaj.org/article/026f6da65bbc4d28bd6510f162c55197
Publikováno v:
Neurocomputing. 520:46-59
Autor:
Doo Seok Jeong, Choongseok Song, Jeeson Kim, Min Kyu Yang, Gun Hwan Kim, Seung-Jong Yoo, Kanghyeok Jeon, Jin Joo Ryu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications
Nature Communications
Conventional computing architectures are poor suited to the unique workload demands of deep learning, which has led to a surge in interest in memory-centric computing. Herein, a trilayer (Hf0.8Si0.2O2/Al2O3/Hf0.5Si0.5O2)-based self-rectifying resisti
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:350-362
We present a method to emulate a leaky integrate-and-fire (LIF) model in a field-programmable gate array (FPGA) in a hardware-efficient manner. The simplified spike-response model (SRM0) is chosen as an LIF model. For the hardware-efficient implement
Publikováno v:
IEEE Access, Vol 8, Pp 69426-69437 (2020)
In a multicore neuromorphic processor embedding a learning algorithm, a presynaptic neuron is occasionally located in a different core from the cores of its postsynaptic neurons, which needs neuron-to-target core communication for inference through a
Publikováno v:
Advanced Intelligent Systems. 5:2200289