Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Composable and Modular Code Generation in MLIR: A Structured and
  Retargetable Approach to Tensor Compiler Construction   Despite significant investment in software infrastructure, machine learning
systems, runtimes and compilers do not compose properly. We propose a new
design aiming at providing unprecedented degrees of modularity, composability
and genericity. This paper discusses a structured approach to the construction
of domain-specific code generators for tensor compilers, with the stated goal
of improving the productivity of both compiler engineers and end-users. The
approach leverages the natural structure of tensor algebra. It has been the
main driver for the design of progressive lowering paths in \MLIR. The proposed
abstractions and transformations span data structures and control flow with
both functional (SSA form) and imperative (side-effecting) semantics. We
discuss the implications of this infrastructure on compiler construction and
present preliminary experimental results.

18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph