Understanding and optimizing memory usage of software applications is a difficult task,
usually involving the analysis of large amounts of memory-related complex data. Over the …

Exascale systems will exhibit much higher degrees of parallelism both in terms of the
number of nodes and the number of cores per node. OpenMP is a widely used standard for …

In modern parallel architectures, memory accesses represent a common bottleneck. Thus,
optimizing the way applications access the memory is an important way to improve …

This paper studies the interactive visualization and post-mortem analysis of execution traces
generated by task-parallel programs. We focus on the detection of performance anomalies …

The limited DRAM bandwidth of today's computing systems is a bottleneck for many
applications. But the identification of DRAM bandwidth contention in applications is difficult …

Diagnosing if an application suffers from DRAM contention can be a challenging task. One
method is to compare the hardware memory bandwidth limit with the measured memory …

Los desarrolladores a menudo pasan mucho tiempo monitoreando manualmente el uso de
memoria para localizar anomalías (p. ej., fugas, sobrecargas de memoria) que puedan …

The performance of many HPC workloads is limited by the main memory bandwidth.
Measurement of the DRAM bandwidth is crucial for diagnosing such problems. Modern …

In modern parallel architectures, memory accesses represent a common bottleneck. Thus,
optimizing the way applications access the memory is an important way to improve …

Performance analysis and optimization are essential tasks for hardware and software
engineers. In the age of datacenter-scale computing, it is particularly important to conduct …