1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Synergy between On- and Off-Chip Data Reuse for GPU-based Out-of-Core Stencil Computation
Jingcheng Shen, Linbo Long, Jun Zhang +3
Stencil computation is an extensively-utilized class of scientific-computing applications that can be efficiently accelerated by graphics processing units (GPUs). Out-of-core appro…
A Reorder Trick for Decision Diagram Based Quantum Circuit Simulation
Jingcheng Shen, Linbo Long, Masao Okita +1
Quantum computing is a hotspot technology for its potential to accelerate specific applications by exploiting quantum parallelism. However, current physical quantum computers are l…
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…
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…