2015Unpublished venueRequires access

Compiling functional kernels into graph intermediate code for Maxeler architecture

Sven Cerk

Open publisher page 0 citations

Abstract

A new method for programming Maxeler's dataflow engines is presented. The existing tools allow programmers to program dataflow engines in Java. We belive that functional programming languages might provide a more suitable alternative. We define a new programming language called MaxHs for programming dataflow engine kernels. In addition, we present a way of interfacing MaxHs programs with programs written in Haskell. With the help of simple example programs we compare our solution with existing tools. In the last part we present a method for compiling MaxHs into a graph-based intermediate code. The elements of the intermediate code are based on the nodes supported by Maxeler's dataflow engines. We also outline how the support for interfacing with Haskell is achieved.

About this research paper

What this paper is about

A new method for programming Maxeler's dataflow engines is presented. The existing tools allow programmers to program dataflow engines in Java. We belive that functional programming languages might provide a more suitable alternative. We define a new programming language called MaxHs for programming dataflow engine kernels. In addition, we present a way of interfacing MaxHs programs with programs written in Haskell. With the help of simple example programs we compare our solution with existing tools. In the last part we present a method for compiling MaxHs into a graph-based intermediate code. The elements of the intermediate code are based on the nodes supported by Maxeler's dataflow engines. We also outline how the support for interfacing with Haskell is achieved.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A new method for programming Maxeler's dataflow engines is presented. The existing tools allow programmers to program dataflow engines in Java. We belive that functional programming languages might provide a more suitable alternative. We define a new programming language called MaxHs for programming dataflow engine kernels. In addition, we present a way of interfacing MaxHs programs with programs written in Haskell. With the help of simple example programs we compare our solution with existing tools. In the last part we present a method for compiling MaxHs into a graph-based intermediate code. The elements of the intermediate code are based on the nodes supported by Maxeler's dataflow engines. We also outline how the support for interfacing with Haskell is achieved.

Key concepts: Dataflow, Haskell, Computer science, Programming language, Functional programming, Interfacing, Programming paradigm, Java

Related papers

Back to paper searchBrowse research topicsOriginal source
Compiling functional kernels into graph intermediate code for Maxeler architecture — Research Paper | ScholarLens