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Weijie Jiang
Mixed signal design
SRAM design
In-memory-compute
Weijie Jiang
Phd student
Ultra-low power digital SoCs and memories
0484338438
weijie.jiang@esat.kuleuven.be
Wim Dehaene
Or meet the full MICAS team
Current research topic
SRAM based digital in memory compute macro in 16nm
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Wim Dehaene
Career overview
2014-2018, Shanghai Jiao Tong University, bachlor in microelectronics.
2018-2020, ESAT, KU Leuven, EE chip design division.
2020-now, MICAS, KU Leuven, low power SRAM and digital circuit.
Publications
A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm2, 256kB/mm2 and 23. 8TOPs/W
Weijie Jiang, Pouya Houshmand, Marian Verhelst, and wim Dehaene
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Conference Proceeding
·
Jan 1. 2023
ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC); 2023; pp. 409 - 412
Teaching
TA of Design of Digital Integrated Circuit