Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Data-Center FPGA Acceleration Platform for Convolutional Neural
  Networks   Intensive computation is entering data centers with multiple workloads of
deep learning. To balance the compute efficiency, performance, and total cost
of ownership (TCO), the use of a field-programmable gate array (FPGA) with
reconfigurable logic provides an acceptable acceleration capacity and is
compatible with diverse computation-sensitive tasks in the cloud. In this
paper, we develop an FPGA acceleration platform that leverages a unified
framework architecture for general-purpose convolutional neural network (CNN)
inference acceleration at a data center. To overcome the computation bound,
4,096 DSPs are assembled and shaped as supertile units (SUs) for different
types of convolution, which provide up to 4.2 TOP/s 16-bit fixed-point
performance at 500 MHz. The interleaved-task-dispatching method is proposed to
map the computation across the SUs, and the memory bound is solved by a
dispatching-assembling buffering model and broadcast caches. For various
non-convolution operators, a filter processing unit is designed for
general-purpose filter-like/pointwise operators. In the experiment, the
performances of CNN models running on server-class CPUs, a GPU, and an FPGA are
compared. The results show that our design achieves the best FPGA peak
performance and a throughput at the same level as that of the state-of-the-art
GPU in data centers, with more than 50 times lower latency.

2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat