Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FastWave: Accelerating Autoregressive Convolutional Neural Networks on
  FPGA   Autoregressive convolutional neural networks (CNNs) have been widely
exploited for sequence generation tasks such as audio synthesis, language
modeling and neural machine translation. WaveNet is a deep autoregressive CNN
composed of several stacked layers of dilated convolution that is used for
sequence generation. While WaveNet produces state-of-the art audio generation
results, the naive inference implementation is quite slow; it takes a few
minutes to generate just one second of audio on a high-end GPU. In this work,
we develop the first accelerator platform~\textit{FastWave} for autoregressive
convolutional neural networks, and address the associated design challenges. We
design the Fast-Wavenet inference model in Vivado HLS and perform a wide range
of optimizations including fixed-point implementation, array partitioning and
pipelining. Our model uses a fully parameterized parallel architecture for fast
matrix-vector multiplication that enables per-layer customized latency
fine-tuning for further throughput improvement. Our experiments comparatively
assess the trade-off between throughput and resource utilization for various
optimizations. Our best WaveNet design on the Xilinx XCVU13P FPGA that uses
only on-chip memory, achieves 66 faster generation speed compared to CPU
implementation and 11 faster generation speed than GPU implementation.

36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin