2 citations · 4 across the 6 of their papers we have counts for
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cs.DC2022
Compression-Based Optimizations for Out-of-Core GPU Stencil Computation
Jingcheng Shen, Xin Deng, Yifan Wu +2
An out-of-core stencil computation code handles large data whose size is beyond the capacity of GPU memory. Whereas, such an code requires streaming data to and from the GPU freque…
cs.DC2021
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
Jingcheng Shen, Yifan Wu, Masao Okita +1
Stencil computation is an important class of scientific applications that can be efficiently executed by graphics processing units (GPUs). Out-of-core approach helps run large scal…
cs.DC2017★ 2 cited
High-Performance Out-of-core Block Randomized Singular Value Decomposition on GPU
Yuechao Lu, Fumihiko Ino, Yasuyuki Matsushita
Fast computation of singular value decomposition (SVD) is of great interest in various machine learning tasks. Recently, SVD methods based on randomized linear algebra have shown s…