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Published in 2021 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.1c09796
Abstract: Cu/SiO2 hybrid bonding with planarized dielectric and isolated metal connections can realize ultradense interconnects (e.g., ≤1 μm) by eliminating the microbumps and underfill through the direct bonding of Cu-Cu and SiO2-SiO2. However, the low-temperature bonding…
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Keywords:
low temperature;
hybrid bonding;
memory centric;
sio2 ... See more keywords
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Published in 2018 at "IEEE Computer Architecture Letters"
DOI: 10.1109/lca.2018.2823302
Abstract: As the models and the datasets to train deep learning (DL) models scale, system architects are faced with new challenges, one of which is the memory capacity bottleneck, where the limited physical memory inside the…
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Keywords:
case memory;
system;
memory centric;
memory capacity ... See more keywords
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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3092273
Abstract: Hidayetolu et al. (2019) proposed a novel memory-centric computation system, MemXCT. As a challenge at SC20, we reproduce the computational efficiency of MemXCT on our Azure cloud cluster. Our experiments evaluate the overall performance and…
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Keywords:
memxct memory;
centric ray;
memory;
critique memxct ... See more keywords
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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3108964
Abstract: Hidayetoğlu et al. propose a novel memory-centric algorithm to reconstruct X-ray CT images in the SC19 article entitled “MemXCT: Memory-Centric X-ray CT Reconstruction with Massive Parallelization”. They formulate the reconstruction with several SpMVs, and propose…
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Keywords:
memxct memory;
reconstruction;
centric ray;
memory ... See more keywords