Performance Analysis on Energy Efficient High-Performance Architectures

Roman Iakymchuk (1) , François Trahay (1)

1 TSP - INF - Département Informatique

With the shift in high-performance computing (HPC) towards energy efficient hardware architectures such as accelerators (NVIDIA GPUs) and embedded systems (ARM processors), arose the need to adapt existing performance analysis tools to these new systems. We present EZTrace - a performance analysis framework for parallel applications. EZTrace relies on several core components, in particular on a mechanism for instrumenting functions, a lightweight tool for recording events, and a generic interface for writing traces. To support EZTrace on energy efficient GPC systems, we developed a CUDA module and ported EZTrace to ARM processors. The evaluation on a suite of the standard computation kernels show that EZTrace allows to analyze HPC applications executing on such systems with the low performance overhead.

Mots clés: Performance analysis; Energy efficiency; ARM processors; GPU accelerators

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Modélisation et simulation; Performance et fiabilité [cs.PF]

Roman Iakymchuk, François Trahay. Performance Analysis on Energy Efficient High-Performance Architectures. CC'13 : International Conference on Cluster Computing, Jun 2013, Lviv, Ukraine. ⟨hal-00865845⟩