2 citations · 4 across the 6 of their papers we have counts for
6 papers
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…
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Yanchen Li, Qingzhong Ai, Fumihiko Ino
Recently, tile pruning has been widely studied to accelerate the inference of deep neural networks (DNNs). However, we found that the loss due to tile pruning, which can eliminate…
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…
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…
Debugging Tool for Localizing Faulty Processes in Message Passing Programs
Masao Okita, Fumihiko Ino, Kenichi Hagihara
In message passing programs, once a process terminates with an unexpected error, the terminated process can propagate the error to the rest of processes through communication depen…