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Related Concept Videos

Understanding Memory01:19

Understanding Memory

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Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
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Working Memory01:24

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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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Eye Movement Monitoring of Memory
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MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors.

Alfredo Gimenez, Todd Gamblin, Ilir Jusufi

    IEEE Transactions on Visualization and Computer Graphics
    |June 27, 2017
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    Summary
    This summary is machine-generated.

    High-performance computing (HPC) memory performance is complex. MemAxes is a new tool that visualizes memory data, helping users analyze and optimize HPC application performance effectively.

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    Area of Science:

    • Computer Science
    • High-Performance Computing (HPC)
    • Data Visualization

    Background:

    • Memory performance is a critical bottleneck in High-Performance Computing (HPC) applications.
    • Deepening memory hierarchies and complex management make memory behavior difficult to characterize.
    • Existing tools lack the ability to analyze the complex interdependencies of memory performance factors.

    Purpose of the Study:

    • To introduce MemAxes, a novel tool for analytic-driven visualization of memory performance data.
    • To provide users with sophisticated tools to analyze and optimize memory performance in HPC codes.
    • To address the limitations of existing tools in characterizing complex memory performance relationships.

    Main Methods:

    • Developed MemAxes, a tool offering multiple visual contexts for a centralized memory performance dataset.
    • Mapped sampled memory access data to new and existing visual metaphors for diverse analysis tasks.
    • Implemented user interaction guidance through data subset scoring based on performance problems, providing visual cues and automatic cluster extraction.

    Main Results:

    • MemAxes enables comprehensive analysis of various memory performance aspects through integrated visualizations.
    • The tool effectively guides user interaction by highlighting performance-critical data subsets.
    • Case studies demonstrate the effectiveness of MemAxes in analyzing and optimizing HPC memory performance.

    Conclusions:

    • MemAxes provides a novel and effective approach to visualizing and analyzing HPC memory performance data.
    • The tool empowers users, including those with less specialized expertise, to understand and improve memory-bound applications.
    • MemAxes addresses a critical need for sophisticated tools in the HPC domain for memory performance optimization.