Modern graphics processing units (GPUs) have complex architectures that admit
exceptional performance and energy efficiency for high-throughput applications. Although …

To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …

In computer architecture, significant innovation frequently comes from industry. However, the
simulation tools used by industry are often not released for open use, and even when they …

Binary instrumentation frameworks are widely used to implement profilers, performance
evaluation, error checking, and bug detection tools. While dynamic binary instrumentation …

GPUs have found wide acceptance in domains such as high-performance computing and
autonomous vehicles, which require fast processing of large amounts of data along with …

As GPUs become more pervasive in both scalable high-performance computing systems
and safety-critical embedded systems, evaluating and analyzing their resilience to soft errors …

Application execution on safety-critical and high-performance computer systems must be
resilient to transient errors. As GPUs become more pervasive in such systems, they must …

Some scientific studies involve huge amounts of bioinformatics data that cannot be analyzed
on personal computers usually employed by researchers for day-to-day activities but rather …

In this paper, we present PPT-GPU, a scalable performance prediction toolkit for GPUs. PPT-
GPU achieves scalability through a hybrid high-level modeling approach where some …

Characterizing compute kernel execution behavior on GPUs for efficient task scheduling is a
non-trivial task. We address this with a simple model enabling portable and fast predictions …