Array-oriented programming offers a unique blend of programmer productivity and high-performance parallel execution. As an abstraction, it directly mirrors high-level mathematical abstractions commonly used in many fields from natural sciences over engineering to financial modelling. As a language feature, it exposes regular control flow, exhibits structured data dependencies, and lends itself to many types of program analysis. Furthermore, many modern computer architectures, particularly highly parallel architectures such as GPUs and FPGAs, lend themselves to efficiently executing array operations.
The ARRAY workshop is intended to bring together researchers from many different communities, including language designers, library developers, compiler researchers, and practitioners, who are using or working on numeric, array-centric aspects of programming languages, libraries and methodologies from all domains: imperative or declarative; object-oriented or functional; interpreted or compiled; strongly typed, weakly typed, or untyped.
The ARRAY series of workshops explores:
formal semantics and design issues of array-oriented languages and libraries;
productivity and performance in compute-intensive application areas of array programming;
systematic notation for array programming, including axis- and index-based approaches;
intermediate languages, virtual machines, and program-transformation techniques for array programs;
representation of and automated reasoning about mathematical structure, such as static and dynamic sparsity, low-rank patterns, and hierarchies of these, with connections to applications such as graph processing, HPC, tensor computation and deep learning;
interfaces between array- and non-array code, including approaches for embedding array programs in general-purpose programming languages; and
efficient mapping of array programs, through compilers, libraries, and code generators, onto execution platforms, targeting multi-cores, SIMD devices, GPUs, distributed systems, and FPGA hardware, by fully automatic and user-assisted means.
Array programming is at home in many communities, including language design, library development, optimization, scientific computing, and across many existing language communities. ARRAY is intended as a forum where these communities can exchange ideas on the construction of computational tools for manipulating arrays.
Call for Papers
Submissions are welcome in two categories: full papers and extended abstracts. All submissions should be formatted in conformance with the ACM SIGPLAN proceedings style. Accepted submissions in either category will be presented at the workshop.
Full papers may be up to 12 papes, on any topic related to the focus of the workshop. They will be thoroughly reviewed according to the usual criteria of relevance, soundness, novelty, and significance; accepted submissions will be published in the ACM Digital Library.
Extended abstracts may be up to 2 pages; they may describe work in progress, tool demonstrations, and summaries of work published in full elsewhere. The focus of the extended abstract should be to explain why the proposed presentation will be of interest to the ARRAY audience. Submissions will be lightly reviewed only for relevance to the workshop, and will not published in the DL.
Whether full papers or extended abstracts, submissions must be in PDF format, printable in black and white on US Letter sized paper. Papers must adhere to the standard SIGPLAN conference format: two columns, ten-point font. A suitable document template for LaTeX is available at http://www.sigplan.org/Resources/Author/.
Papers must be submitted using EasyChair (https://easychair.org/conferences/?conf=array2020).
Authors take note: The official publication date of full papers is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the workshop. The official publication date affects the deadline for any patent filings related to published work.