Jul 15, 2022 · This paper presents a high-performance implementation for the multi-channel convolution computing by extending the SSAM-based convolution kernel.
Jul 4, 2022 · This paper presents a high-performance implementation for the MIMO convolution by extending the well-known software systolic array model (SSAM)
This paper presents a high-performance implementation for the MIMO convolution by extending the well-known software systolic array model (SSAM) in which the ...
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Nov 26, 2024 · High Performance Software Systolic Array Computing of Multi-channel Convolution on a GPU. January 2022 · Lecture Notes in Computer Science.
Oct 24, 2024 · This paper proposes a versatile high-performance execution model, inspired by systolic arrays, for memory-bound regular kernels running on CUDA- ...
Oct 24, 2022 · Kazuya Matsumoto, Yoichi Tomioka, Stanislav Sedukhin, "High performance software systolic array computing of multi-channel convolution on a GPU ...
We proposed an efficient systolic array architecture with two distinct computing modes designed to accelerate hybrid Transformer-CNN networks. Our architecture ...
Jul 14, 2019 · This paper proposes a versatile high-performance execution model, inspired by systolic arrays, for memory-bound regular kernels run- ning on ...
The overall benefit of using GPUs for neural network acceleration is that the device provides an incredible amount of throughput for convolution and the chip is ...
This paper studies the performance of separable 2D convolution on multi-lane Polymorphic Register Files (PRFs). We present a matrix transposition algorithm ...