Find CPU & GPU Performance Headroom Using Roofline Analysis




Understanding how hardware-imposed performance ceilings impact your code can be a pain in the … ummm … can be challenging. Commonly, developers struggle to assess the optimization tradeoffs between memory bottlenecks and compute use for CPU and GPU code.

Enter Intel® Advisor and its Roofline Analysis feature, a visual representation of application performance in relation to hardware limitations, including memory bandwidth and computational peaks.

Join technical consulting engineer and high-performance computing (HPC) programming expert Cedric Andreolli for a session covering:

  • How to perform a GPU headroom and GPU cache locality analysis using Roofline extensions in Intel Advisor for oneAPI and OpenMP*
  • An introduction to a new memory-level Roofline feature that helps pinpoint which specific memory level (L1, L2, L3, or DRAM) is causing the bottleneck
  • A walkthrough of the Intel Advisor improved user interface

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Cedric Andreolli
Software technical consulting engineer, Intel Corporation

Cedric supports Intel® Software Development Tools with special focus on Intel® compilers and Intel Advisor, particularly in the realm of HPC. In addition, he has extensive experience in Android* development with applications for augmented reality via both OpenGL* and the Radiance lighting simulation tool.

Cedric holds a BS degree in computer science from the University of Rennes 1 in France. In his spare time, he enjoys playing guitar in rock bands, skiing, and playing ice hockey and football.

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Intel® Advisor

Design code for efficient vectorization, threading, memory usage, and GPU offloading. Intel Advisor is included as part of the Intel oneAPI Base Toolkit.

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