Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear
algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations …

Writing concurrent programs is notoriously difficult, and is of increasing practical importance.
A particular source of concern is that even correctly-implemented concurrency abstractions …

parallel algorithftls. Researchers have developed efficient parallel algorithms to solve most
problems for which efficient sequential solutions are known. Although some ofthese …

Futhark is a purely functional data-parallel array language that offers a machine-neutral
programming model and an optimising compiler that generates OpenCL code for GPUs …

An efficient integral library Libcint was designed to automatically implement general
integrals for Gaussian‐type scalar and spinor basis functions. The library is able to evaluate …

Background The importance of effective communication during public health emergencies
has been highlighted by the World Health Organization, and it has published guidelines for …

Programming is hard. Building a large program is like constructing a steam locomotive
through a hole the size of a postage stamp. An artefact that is the fruit of hundreds of person …

Modern parallel microprocessors deliver high performance on applications that expose
substantial fine-grained data parallelism. Although data parallelism is widely available in …

We have witnessed a phenomenal increase in computational resources for graphics
processors units (GPU) over the last few years. The highest performing graphics processors …

We describe the design and current status of our effort to implement the programming model
of nested data parallelism into the Glasgow Haskell Compiler. We extended the original …