Novel CNN Accelerator Design With Dual Benes Network Architecture

Design and Analysis of a Hardware CNN Accelerator

In recent years, Convolutional Neural Networks (CNNs) have revolutionized computer vision tasks. However, inference in current CNN designs is extremely computationally intensive. This has lead to an explosion of new accelerator architectures designed to reduce power consumption and latency [20]. In this paper, we design and implement a systolic array based architecture we call ConvAU to efficie...

Improved Arbitrary size Benes Network

Multistage interconnection networks (MINs) are used to connect N inputs to N outputs. They are mainly used to connect processor to processor and for processor to memory in distributed and shared memory environment. The MINs are broadly divided into three categories Blocking Non Blocking and Rearrangeable networks. A new improved Arbitrary size Benes network has been proposed in this to improve ...

Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising

We design a novel network architecture for learning discriminative image models that are employed to efficiently tackle the problem of grayscale and color image denoising. Based on the proposed architecture, we introduce two different variants. The first network involves convolutional layers as a core component, while the second one relies instead on non-local filtering layers and thus it is ab...

On Nonblocking Properties on the Benes Network

A novel optimizing network architecture with applications

We present a novel optimizing network architecture with applications in vision, learning, pattern recognition and combinatorial optimization. This architecture is constructed by combining the following techniques: (i) deterministic annealing, (ii) self-amplification, (iii) algebraic transformations, (iv) clocked objectives and (v) softassign. Deterministic annealing in conjunction with self-amp...