In this paper we introduce Cpp-Taskflow, a new C++ tasking library to help developers
quickly write parallel programs using task dependency graphs. Cpp-Taskflow leverages the …

The emergence of accelerators as standard computing resources on supercomputers and
the subsequent architectural complexity increase revived the need for high-level parallel …

This article introduces Cpp-Taskflow, a high-performance parallel task programming system,
to streamline the building of large and complex parallel applications. Cpp-Taskflow …

The ongoing hardware evolution exhibits an escalation in the number, as well as in the
heterogeneity, of computing resources. The pressure to maintain reasonable levels of …

We present a review of the current best practices in parallel programming models for dense
linear algebra (DLA) on heterogeneous architectures. We consider multicore CPUs, stand …

PLASMA is a numerical library intended as a successor to LAPACK for solving problems in
dense linear algebra on multicore processors. PLASMA relies on the QUARK scheduler for …

We compare the performance of pipelined and s-step GMRES, respectively referred to as l-
GMRES and s-GMRES, on distributed multicore CPUs. Compared to standard GMRES, s …

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 …

This paper presents the design and implementation of several fundamental dense linear
algebra (DLA) algorithms for multicore with Intel Xeon Phi coprocessors. In particular, we …

Many of the heterogeneous resources available to modern computers are designed for
different workloads. In order to efficiently use GPU resources, the workload must have a …