Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming models introduce more complexity in modern applications. Exploiting efficiently all the resources requires a complex analysis of the performance of applications in order to detect time-consuming sections. We present EZTRACE, a generic trace generation framework that aims at providing a simple way to analyze applications. EZTRACE is based on plugins that allow it to trace different programming models such as MPI, pthread or OpenMP as well as user-defined libraries or applications. EZTRACE uses two steps: one to collect the basic information during execution and one post-mortem analysis. This permits tracing the execution of applications with low overhead while allowing to refine the analysis after the execution. We also present a script language for EZTRACE that gives the user the opportunity to easily define the functions to instrument without modifying the source code of the application.
The current trend in clusters leads towards an increase of the number of cores per node. As a result, an increasing number of parallel applications is mixing message passing and multithreading as an attempt to better match the underlying architecture's structure. This naturally raises the problem of designing efficient, multithreaded implementations of MPI. In this paper, we present the design of a multithreaded communication engine able to exploit idle cores to speed up communications in two ways: it can move CPUintensive operations out of the critical path (e.g. PIO transfers offload), and is able to let rendezvous transfers progress asynchronously. We have implemented these methods in the PM2 software suite, evaluated their behavior in typical cases, and we have observed good performance results in overlapping communication and computation. Classical non-multithreaded communication engines such as OpenMPI [3], MPICH2 [1] or MVAPICH2 [4] do not fully take benefit from multicore architectures: com
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