Reconfigurable computing platforms offer the promise of substantially accelerating
computations through the concurrent nature of hardware structures and the ability of these …

During the course of the last decade, a mathematical model for the parallelization of FOR-
loops has become increasingly popular. In this model, a (perfect) nest of r FOR-loops is …

This paper presents Tofu, a system that partitions very large DNN models across multiple
GPU devices to reduce per-GPU memory footprint. Tofu is designed to partition a dataflow …

The widespread use of object-oriented languages and Internet security concerns are just the
beginning. Add embedded systems, multiple memory banks, highly pipelined units …

We present new techniques for compilation of arbitrarily nested loops with affine
dependences for distributed-memory parallel architectures. Our framework is implemented …

We present a unified approach to locality optimization that employs both data and control
transformations. Data transformations include changing the array layout in memory. Control …

A contest on Handwritten Text Recognition organised in the context of the ICFHR 2014
conference is described. Two tracks with increased freedom on the use of training data were …

Memory bottleneck has become a limiting factor in satisfying the explosive demands on
performance and cost in modern embedded system design. Selected computation kernels …

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

A common feature of many scalable parallel machines is non-uniform memory access
(NUMA)--data access to local memory is much faster than to non-local memories. In …