3 citations · 3 across the 4 of their papers we have counts for
4 papers
MACO: Exploring GEMM Acceleration on a Loosely-Coupled Multi-core Processor
Bingcai Sui, Junzhong Shen, Caixia Sun +3
General-purpose processor vendors have integrated customized accelerator in their products due to the widespread use of General Matrix-Matrix Multiplication (GEMM) kernels. However…
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays
Jianchao Yang, Mei Wen, Junzhong Shen +5
State-of-the-art systolic array-based accelerators adopt the traditional im2col algorithm to accelerate the inference of convolutional layers. However, traditional im2col cannot ef…
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs
Deguang Wang, Junzhong Shen, Mei Wen +1
Three-dimensional deconvolution is widely used in many computer vision applications. However, most previous works have only focused on accelerating 2D deconvolutional neural networ…
Towards a Multi-array Architecture for Accelerating Large-scale Matrix Multiplication on FPGAs
Junzhong Shen, Yuran Qiao, You Huang +2
Large-scale floating-point matrix multiplication is a fundamental kernel in many scientific and engineering applications. Most existing work only focus on accelerating matrix multi…