Reconciling Abstraction with High Performance teaches the reader
how to write typed code generators, how to make them modular, and
how to gradually introduce domain-specific optimizations with
MetaOCaml. Assuming no prior knowledge of MetaOCaml and only a
basic familiarity with functional programming, it explains and
illustrates how to implement a simple domain-specific language
(DSL) for linear algebra, with layers of optimizations for sparsity
and memory layout of matrices and vectors, and their algebraic
properties. This book is based on the written record of a live
tutorial delivered on several occasions (first at CUFP - Commercial
Users of Functional Programming 2013). It inherits the hands-on
style of those tutorials, built around live coding, in interaction
with the MetaOCaml and its type checker and the audience. It
develops code piece-by-piece by submitting small fragments to the
MetaOCaml interpreter, fixing type problems, generating sample code
and testing it, noting the points of improvement, and adjusting the
generator as needed. The monograph includes many exercises and
homework projects to work on alone or in groups.
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