Topic
MLton
About: MLton is a research topic. Over the lifetime, 32 publications have been published within this topic receiving 433 citations.
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TL;DR: This extended abstract presents the current work on leveraging Standard ML for developing embedded and real-time systems, primarily on the language runtime, re-working the threading subsystem and garbage collector, as well as necessary changes for integrating MLton generated programs into a light weight operating system kernel.
Abstract: In this extended abstract we present our current work on leveraging Standard ML for developing embedded and real-time systems. Specifically we detail our experiences in modifying MLton, a whole program, optimizing compiler for Standard ML, for use in such contexts. We focus primarily on the language runtime, re-working the threading subsystem and garbage collector, as well as necessary changes for integrating MLton generated programs into a light weight operating system kernel. We compare and contrast these changes to our previous work on extending MLton for multicore systems, which focused around acheiving scalability.
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TL;DR: This paper examines the necessary changes to a modern Standard ML compiler, MLton, to provide basic support for real-time execution and presents preliminary numbers and the work in progress prototype, which is able to boot ML programs compiled with MLton on x86 machines.
Abstract: There has been much recent interest in adopting functional and reactive programming for use in real-time system design. Moving toward a more declarative methodology for developing real-time systems purports to improve the fidelity of software. To study the benefits of functional and reactive programming for real-time systems, real-time aware functional compilers and language runtimes are required. In this paper we examine the necessary changes to a modern Standard ML compiler, MLton, to provide basic support for real-time execution. We detail our current progress in modifying MLton with a threading model that supports priorities, a chunked object model to support real-time garbage collection, and low level modification to execute on top of a real-time operating system. We present preliminary numbers and our work in progress prototype, which is able to boot ML programs compiled with MLton on x86 machines.