Kevin Hammond leads the technical effort on Cardano at Input-Output Global (IOG). His research interests lie in programming language design and implementation, with a focus on parallelism and real-time properties of functional languages, including modelling and reasoning about extra-functional properties, using type-based approaches. In total, he has published around 130 research papers, books and articles, and held over 20 national and international research grants, totalling around £11M of research funding, including coordinating several large EU projects. He was a member of the Haskell design committee, co-designed the Hume real-time functional language, and is co-editor of the main reference text on parallel functional programming. targeting heterogeneous parallel architectures. Kevin is a keen hill-walker, whisky connoisseur and enjoys early music. He is interested in how functional programming can be used to improve AI techniques and improve explainability of AI models.
Despite Moore's "law", uniprocessor clock speeds have now stalled. Rather than single processors running at ever higher clock speeds, it is common to find dual-, quad- or even hexa-core processors, even in consumer laptops and desktops. Haswell, Intel's forthcoming multicore architecture, will have eight cores by default. Future hardware will not be slightly parallel, however, as in today's multicore systems, but will be massively parallel, with manycore and perhaps even megacore systems becoming mainstream. This means that programmers need to start thinking parallel. To achieve this they must move away from traditional programming models where parallelism is a bolted-on afterthought. Rather, programmers must use languages where parallelism is deeply embedded into the programming model from the outset.
By providing a high level model of computation, without explicit ordering of computations, declarative languages in general, and functional languages in particular, offer many advantages for parallel programming. One of the most fundamental advantages of the functional paradigm is purity. In a purely functional language, as exemplified by Haskell, there are simply no side effects: it is therefore impossible for parallel computations to conflict with each other in ways that are not well understood. ParaForming aims to radically improve the process of parallelising purely functional programs through a comprehensive set of high-level parallel refactoring patterns for Parallel Haskell, supported by advanced refactoring tools. By matching parallel design patterns with appropriate algorithmic skeletons using advanced software refactoring techniques and novel cost information, we will bridge the gap between fully automatic and fully explicit approaches to parallelisation, helping programmers "think parallel" in a systematic, guided way. This talk introduces the ParaForming approach, gives some examples and shows how effective parallel programs can be developed using advanced refactoring technology.