The use of the Python programming language for scientific computing has been gaining
momentum in the last years. The fact that it is compact and readable and its complete set of …

We propose a new set of OS abstractions to support GPUs and other accelerator devices as
first class computing resources. These new abstractions, collectively called the PTask API …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Parallel programming on SMP and multi-core architectures is hard. In this paper we present
a programming model for those environments based on automatic function level parallelism …

In this work we present Cell superscalar (CellSs) which addresses the automatic exploitation
of the functional parallelism of a sequential program through the different processing …

Heterogeneous architectures are currently widespread. With the advent of easy-to-program
general purpose GPUs, virtually every recent desktop computer is a heterogeneous system …

We discuss an algorithm that optimizes the driving style of a train. The objective is to
minimize the electrical energy used for traction subject to constraints such as the travel time …

An open Educational Design Kit (EDK) which supports a 90 nm design flow is described
which includes all the necessary design rules, models, technology files, verification and …

Computational grids have an enormous potential to provide compute power. However, this
power remains largely unexploited today for most applications, except trivially parallel …

SIMULATION has become pervasive in science. Real experimentation remains an essential
step in scientific research, but simulation replaced a wide range of costly and lengthy or …