In this paper we unveil some performance and energy efficiency frontiers for sparse
computations on GPU-based supercomputers. We compare the resource efficiency of …

We introduce a systematic analysis in order to fuse CUDA kernels arising in efficient iterative
methods for the solution of sparse linear systems. Our procedure characterizes the input and …

In this paper, we report extensive results and analysis of autotuning the computationally
intensive graphics processing units kernel for dense matrix–matrix multiplication in double …

In this paper we unveil some energy efficiency and performance frontiers for sparse
computations on GPU-based supercomputers. To do this, we consider state-of-the-art …

The chances to reach Exascale or Ultrascale Computing are strongly connected with the
problem of the energy consumption for processing applications. For physical and …

OpenMP is the de facto standard application programming interface (API) for on-node
parallelism. The most popular OpenMP runtimes rely on POSIX threads (pthreads) …

A graphic equalizer is an adjustable filter in which the command gain of each frequency
band is practically independent of the gains of other bands. Designing a graphic equalizer …

In the aeronautical industry, aeroacoustics is used to model the propagation of acoustic
waves in air flows enveloping an aircraft in flight. This for instance allows one to simulate the …

Ordinary differential equations (ODEs) are important for modelling many problems from
science and engineering and efficient ODE solvers are required, for example when solving …

High-level parallel programming models (PMs) are becoming crucial in order to extract the
computational power of current on-node multi-threaded parallelism. The most popular PMs …