Flexible Binary Instrumentation Framework to Profile Code Running on Intel GPUs

Alex Skaletsky, Konstantin Levit-Gurevich, Michael Berezalsky, Yulia Kuznetcova, Hila Yakov
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引用次数: 1

Abstract

Functional and performance profiling of workloads is critical in developing software and hardware. Binary Instrumentation Technology has played a key role in this task for many years in the world of x86 architecture. However, such capabilities have not been available until recently for graphics devices, especially in the Intel Graphics Processing Unit world. The GTPin framework is the only tool that supports profiling graphics and GP-GPU kernels running on extremely parallel Intel GPU devices. GTPin supports a wide range of capabilities for software and hardware developers. With GTPin, you can profile real-world graphics and compute applications at a level of performance close to real hardware. Such an ability is critical in accelerating hardware and software readiness.
灵活的二进制工具框架配置代码运行在英特尔gpu上
工作负载的功能和性能分析对于开发软件和硬件至关重要。多年来,在x86架构的世界中,二进制仪器技术在这项任务中发挥了关键作用。然而,这些功能直到最近才在图形设备上可用,特别是在英特尔图形处理单元领域。GTPin框架是唯一支持在极其并行的英特尔GPU设备上运行的分析图形和GP-GPU内核的工具。GTPin支持软件和硬件开发人员的广泛功能。使用GTPin,您可以在接近真实硬件的性能水平上分析真实世界的图形和计算应用程序。这种能力对于加速硬件和软件的准备是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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