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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260522T150115Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post188@linklings.com
SUMMARY:FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Arch
 itectures
DESCRIPTION:Haidong Lan (Shandong University), Jintao Meng (Tencent Holdin
 gs Ltd), Christian Hundt and Bertil Schmidt (Johannes Gutenberg University
  Mainz), Minwen Deng (Tencent Holdings Ltd), Weiguo Liu (Shandong Universi
 ty), and Yanjie Wei and Shengzhong Feng (Shenzhen Institutes of Advanced T
 echnology)\n\nThis poster presents a fast inference computation library fo
 r ARM architecture named as CNNForward. CNNForward is trying to improve th
 e efficiency of inference computation for convolutional neural networks on
  ARM-based multi-core and many-core architectures using both mathematical 
 formula reconstruction/simplification and in-depth NEON instruction optimi
 zation. Experimental results reveal that, forward computation for VGG-16 o
 n a server with 64 ARM A72 cores, CNNForward can scale up to 32 cores with
  an parallel efficiency of 33%, and achieve 35.4x, 8.7x and 10.6x speedup 
 over Caffe+OpenBlas, Caffe2+Eigen and Caffe2+NNPACK, respectively.\n\nRegi
 stration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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