Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator
  for Mobile CNN Inference   Convolutional neural network (CNN) inference on mobile devices demands
efficient hardware acceleration of low-precision (INT8) general matrix
multiplication (GEMM). The systolic array (SA) is a pipelined 2D array of
processing elements (PEs), with very efficient local data movement, well suited
to accelerating GEMM, and widely deployed in industry. In this work, we
describe two significant improvements to the traditional SA architecture, to
specifically optimize for CNN inference. Firstly, we generalize the traditional
scalar PE, into a Tensor-PE, which gives rise to a family of new Systolic
Tensor Array (STA) microarchitectures. The STA family increases intra-PE
operand reuse and datapath efficiency, resulting in circuit area and power
dissipation reduction of as much as 2.08x and 1.36x respectively, compared to
the conventional SA at iso-throughput with INT8 operands. Secondly, we extend
this design to support a novel block-sparse data format called density-bound
block (DBB). This variant (STA-DBB) achieves a 3.14x and 1.97x improvement over
the SA baseline at iso-throughput in area and power respectively, when
processing specially-trained DBB-sparse models, while remaining fully backwards
compatible with dense models.

37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph