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Experience and problems with compiling data parallel languages

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The talk will give an overview of the techniques developed at Glasgow University for the compilation of data parallel languages to SIMD and heterogeneous multi-core computers. It will cover the Vector Pascal system, which can be thought of as a Pascal with APL or ZPL extensions, looking at types for data parallelism, SIMD and multi-core compilation, elimination of set and array temporaries, automatic retargeting techniques. It will also cover the problem of automatically parallelising the data parallel subset of Fortran95 across the multiple processors of the IBM Cell chip. Finally it will report on work underway to compile Matlab to SIMD architectures and the problems that this presents.

This talk is part of the Microsoft Research Cambridge, public talks series.

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