Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory

Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory

We analyze the performance-power-energy balance of a conventional Intel Xeon multicore processor and two low-power architectures –an Intel Atom processor and a system with a quad-core ARM Cortex A9+NVIDIA Quadro 1000M– using a high performance implementation of Gauss-Jordan elimination (GJE) for matrix inversion. The blocked version of this algorithm employed in the experimental evaluation most...

Linear Algebra, Theory And Applications

Data prefetching for linear algebra operations on high performance workstations

In a previous work it was shown that the performance of linear algebra computations , which access large amounts of data, is dependent on the behavior of the memory hierarchy. This research is aimed to use the multilevel orthogonal blocking approach in conjuntion with other software techniques to further improve the performance of linear algebra computations. The performance of the dense matrix...

A survey of power and energy efficient techniques for high performance numerical linear algebra operations

Keywords: Power and energy Performance Power management Supercomputers Numerical linear algebra DVFS a b s t r a c t Extreme scale supercomputers available before the end of this decade are expected to have 100 million to 1 billion computing cores. The power and energy efficiency issue has become one of the primary concerns of extreme scale high performance scientific computing. This paper surv...

Trading security for control performance in distributed robotic applications

Networked embedded and control systems are largely used in factory automation for production and logistics tasks. In this application domain, security has become a prominent issue due to the critical consequences a cyber attack may have in terms of safety and financial losses. Unfortunately security solutions compete against control applications for the often scarce resources of embedded platfo...