This paper gives an overview of the implementation of NESL, a portable nested data-parallel
language. This language and its implementation are the first to fully support nested data …

Data-Parallel Programming demonstrates that architecture-independent parallel
programming is possible by describing in detail how programs written in a high-level SIMD …

The growing interest in GPU programming has brought renewed attention to the Single
Instruction Multiple Data (SIMD) execution model. SIMD machines give application …

Massively parallel MIMD distributed-memory machines can provide enormous
computational power; however, the difficulty of developing parallel programs for these …

Graphics processing units (GPUs) provide both memory bandwidth and arithmetic
performance far greater than that available on CPUs but, because of their Single-Instruction …

Shapely types separate data, represented by lists, from shape, or structure. This separation
supports shape polymorphism, where operations are defined for arbitrary shapes, and …

The authors outline, compare, and contrast the collections and operations found in many
collection-oriented languages by putting them into a common framework. In the process …

A major reason for the lack of practical use of parallel computers has been the absence of a
suitable model of parallel computation. Many existing models are either theoretical or are …

Growing interest in graphics processing units has brought renewed attention to the Single
Instruction Multiple Data (SIMD) execution model. SIMD machines give application …

Shape theory provides a framework for the study of data types in which shape and data can
be manipulated separately. This paper is concerned with shape checking, ie the detection of …