2022 Proceeding- General Chair:
- Troels Henriksen,
- Program Chair:
- Tze Meng Low
Array-oriented programming offers a unique blend of programmer productivity and high-performance parallel execution. As an abstraction, it directly mirrors high-level mathematical constructions commonly used in many fields from natural sciences through engineering to financial modeling. 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.
Proceeding Downloads
Parallel scan as a multidimensional array problem
For many algorithms, it is challenging to identify a suitable parallel version, as the design space is typically very large. In this paper we demonstrate how rank-polymorphic array languages can be used as a tool to explore such design spaces through ...
Distributed parallel computing with Futhark: a functional language to generate distributed parallel code
In this paper, we present two proofs-of-concept for distributed-memory parallel approaches based on the Futhark functional programming language. Futhark is an array-based language generating high-performance code for CPU and GPU back-ends, leveraging ...
From functional to imperative: combining destination-passing style and views
Programming in low-level imperative languages provides good performance but is error-prone. On the other hand, functional programs are usually free from low-level errors but performance suffers from costly programming abstractions. Compiling high-...
Using q-learning to select the best among functionally equivalent implementations
High performance code generation for computationally intensive kernels is a persistent challenge for developers. Given a target architecture and a specific operation, the developer must tune that operation to the lowest-level details of the ...
Combinatory logic and combinators in array languages
The array language paradigm began in the 1960s when Ken Iverson created APL. After spending over 30 years working on APL, he moved on to his second array language J, a successor to APL which embeds a significant subset of combinatory logic in it. This ...
Index Terms
- Proceedings of the 8th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| ARRAY'14 | 25 | 17 | 68% |
| Overall | 25 | 17 | 68% |