Performance visualization comprises techniques that aid developers and analysts in improving the time energy efficiency of their software. In this work, we discuss performance as it relates to survey existing approaches visualization. We present an overview what types data can be collected a categorization goals address. develop taxonomy for contexts which different visualizations reside describe state art research pertaining each. Finally, unaddressed future challenges

Many performance engineering tasks, from long-term monitoring to post-mortem analysis and online tuning, require efficient runtime methods for introspection data collection. To understand interactions between components in increasingly modular HPC software, hooks must be integrated into systems, libraries, application codes across the software stack. This requires an interoperable, cross-stack, general-purpose approach collection, which neither application-specific measurement nor...

Many performance engineering tasks, from long-term monitoring to post-mortem analysis and online tuning, require efficient runtime methods for introspection data collection. To understand interactions between components in increasingly modular HPC software, hooks must be integrated into systems, libraries, application codes across the software stack. This requires an interoperable, cross-stack, general-purpose approach collection, which neither application-specific measurement nor...

Non-Uniform Memory Access (NUMA) architectures are widely used in mainstream multi-socket computer systems to scale memory bandwidth. Without a NUMA-aware design, programs can suffer from significant performance degradation due inter-socket bandwidth contention. However, identifying contention is challenging. Existing methods measure consumption. consumption alone insufficient quantify Furthermore, existing diagnose for the entire program execution, but lack ability associate source code and...

The task of tuning parameters for optimizing performance or other metrics interest such as energy, variability, etc. can be resource and time consuming. Presence a large parameter space makes comprehensive exploration infeasible. In this paper, we propose novel bootstrap scheme, called GEIST, to find performance-optimizing configurations quickly. Our scheme represents the graph whose connectivity guides information propagation from known configurations. Guided by predictions semi-supervised...

Optimizing memory access is critical for performance and power efficiency. CPU manufacturers have developed sampling-based measurement units (PMUs) that report precise costs of accesses at specific addresses. However, this data too low-level to be meaningfully interpreted contains an excessive amount irrelevant or uninteresting information. We a method gather fine-grained objects regions code with low overhead attribute semantic information the sampled accesses. This provides context...

Memory performance is often a major bottleneck for high-performance computing (HPC) applications. Deepening memory hierarchies, complex management, and non-uniform access times have made behavior difficult to characterize, users require novel, sophisticated tools analyze optimize this aspect of their codes. Existing target only specific factors performance, such as hardware layout, allocations, or instructions. However, today's do not suffice characterize the relationships between these...

Modern HPC centers comprise clusters, storage, networks, power and cooling infrastructure, more. Analyzing the efficiency of these complex facilities is a daunting task. Increasingly, deploy sensors monitoring tools, but with millions instrumented components, analyzing collected data manually intractable. Data from an center comprises different formats, granularities, semantics, handwritten scripts no longer suffice to transform into digestible form.

SOS is a new model for the online in situ characterization and analysis of complex high-performance computing applications. employs data framework with distributed information management structured query access capabilities. The primary design objectives are flexibility, scalability, programmability. provides complete that can be configured used directly by an application, allowing detailed workflow scientific This paper describes experiments to validate explore performance characteristics...

SOS is a new model for the online in situ characterization and analysis of complex high-performance computing applications. employs data framework with distributed information management structured query access capabilities. The primary design objectives are flexibility, scalability, programmability. provides complete that can be configured used directly by an application, allowing detailed workflow scientific This paper describes experiments to validate explore performance characteristics...

In Saccharomyces cerevisiae, the selective autophagic degradation of mitochondria, termed mitophagy, is critically regulated by adapter protein Atg32. Despite our knowledge about molecular mechanisms which Atg32 controls its physiological roles in yeast survival and fitness remains less clear. Here, we demonstrate a requirement for promoting spermidine production during respiratory growth heat-induced mitochondrial stress. During growth, mitophagy-deficient exhibit profound heat-stress...

Visual data presentations require adaptation for appropriate display on a viewing device that is limited in re- sources such as computing power, screen estate, and/or bandwidth. Due to the complexity of suitable adaptation, few proposed solutions available are either too resource-intensive or exible be applied broadly. Eective use and acceptance visualization constrained devices approaches tailored requirements user capabilities device. We propose predictive approach takes advantage...

Understanding performance data, and more specifically memory access pattern is essential in optimizing scientific applications. Among the various factors affecting performance, such as hardware architecture, algorithms, or system software stack, also often related to applications' physics. While there exists a number of techniques collect relevant metrics, cache misses, traditional tools almost exclusively present this data relative code abstract tuples. This can obscure dependent nature...

Author(s): Aldrich, G; Gimenez, A; Oskin, M; Strelitz, R; Woodring, J; Kellogg, LH; Hamann, B | Abstract: The visualization and analysis of complex fields often requires identifying extracting domain specific features. Through a collaboration with geophysicists we extend previous work on crease surfaces new complimentary definition: extremas in principal surface curvature rather than scalar value. Using this definition, visualize the resulting which correspond to individual wave fronts. As...

There is currently no effective cure or treatment for Friedreich's ataxia (FA), the most common of hereditary ataxias. The disease caused by mutations in FRDA, frataxin gene, which result drastically reduced expression levels. In whole animal models, one key difficulties mimicking human obtaining precise levels with appropriate tissue distribution to provoke pathology but not lethality. order develop strategies circumvent these problems, conditional (floxed) transgenic mice have been...