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HPC Tech Tips


  • HPC Tech Tips

    CUDA Code Migration (Fermi to Kepler Architecture) on Tesla GPUs

    The debut of NVIDIA’s Kepler architecture in 2012 marked a significant milestone in the evolution of general-purpose GPU computing. In particular, Kepler GK110 (compute capability 3.5) brought unrivaled compute power and introduced a number of new features…

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  • HPC Tech Tips

    Avoiding GPU Memory Performance Bottlenecks

    This post is Topic #3 (post 3) in our series Parallel Code: Maximizing your Performance Potential. Many applications contain algorithms which make use of multi-dimensional arrays (or matrices). For cases where threads need to index the higher…

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  • HPC Tech Tips

    GPU Shared Memory Performance Optimization

    This post is Topic #3 (post 2) in our series Parallel Code: Maximizing your Performance Potential. In my previous post, I provided an introduction to the various types of memory available for use in a CUDA application.…

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  • HPC Tech Tips

    Intel Xeon E5-2600v2 “Ivy Bridge” Processor Review

    With the introduction of Intel’s new Xeon E5-2600v2 processors, there are exciting new choices for HPC users. Overall, the Xeon E5-2600 series processors have provided the highest cost-effective HPC performance available to date. This new set of…

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  • HPC Tech Tips

    NVIDIA Tesla K20 GPU Accelerator (Kepler GK110) Up Close

    NVIDIA’s Tesla K20 GPU is currently the de facto standard for high-performance heterogeneous computing. Based upon the Kepler GK110 architecture, these are the GPUs you want if you’ll be taking advantage of the latest advancements available in…

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  • HPC Tech Tips

    GPU Memory Types – Performance Comparison

    This post is Topic #3 (part 1) in our series Parallel Code: Maximizing your Performance Potential. CUDA devices have several different memory spaces: Global, local, texture, constant, shared and register memory. Each type of memory on the…

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  • HPC Tech Tips

    Optimize CUDA Host/Device Transfers

    This post is Topic #2 (part 2) in our series Parallel Code: Maximizing your Performance Potential. In my previous post, CUDA Host/Device Transfers and Data Movement, I provided an introduction into the bottlenecks associated with host/device transfers…

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  • HPC Tech Tips

    CUDA Host/Device Transfers and Data Movement

    This post is Topic #2 (part 1) in our series Parallel Code: Maximizing your Performance Potential. In post #1, I discussed a few ways to optimize the performance of your application via controlling your threads and provided…

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  • HPC Tech Tips

    CUDA Parallel Thread Management

    This post is Topic #1 in our series Parallel Code: Maximizing your Performance Potential. Regardless of the environment or architecture you are using, one thing is certain: you must properly manage the threads running in your application to…

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  • HPC Tech Tips

    Parallel Code: Maximizing your Performance Potential

    No matter what the purpose of your application is, one thing is certain. You want to get the most bang for your buck. You see research papers being published and presented making claims of tremendous speed increases…

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