This article does not propose any novel algorithm or new hardware for sparsity. Instead, it
aims to serve the" common good" for the increasingly prosperous Sparse Neural Network …

In keeping with the trend of heterogeneity in high-performance computing, hardware
manufacturers and vendors are developing new architectures and associated software …

The solving of tridiagonal systems is one of the most computationally expensive parts in
many applications, so that multiple studies have explored the use of NVIDIA GPUs to …

Vendor libraries are tuned for a specific architecture and are not portable to others.
Moreover, they lack support for heterogeneity and multi-device orchestration, which is …

Abstract Asynchronous Many-Task (AMT) runtime systems take advantage of multi-core
architectures with light-weight threads, asynchronous executions, and smart scheduling. In …

In this work we have implemented a novel Linear Algebra Library on top of the task-based
runtime OmpSs-2. We have used some of the most advanced OmpSs-2 features; weak …

The many-body correlation function is a fundamental computation kernel in modern physics
computing applications, eg, Hadron Contractions in Lattice quantum chromodynamics …

Many scientific applications are in need to solve a high number of small-size independent
problems. These individual problems do not provide enough parallelism and then, these …

Many problems of industrial and scientific interest require the solving of tridiagonal linear
systems. This paper presents several implementations for the parallel solving of large …

The simulation of the behavior of the human brain is one of the most ambitious challenges
today with a non-end of important applications. We can find many different initiatives in the …