gem5 bootcamp 2022 GPGPU model

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In this section, we go over the AMD GPU model. • Slides: https://ucdavis365-my.sharepoint.com/... • More info: https://gem5bootcamp.github.io/gem5-b... • For comments, use the gem5-bootcamp channel in the gem5 slack. Invitation here: https://join.slack.com/t/gem5-workspa... • gem5 bootcamp 2022: GPGPU model • Timecode • 00:00 Intro • 03:54 Disclaimers • 05:42 Contributors • 10:44 Graphics Processing Units (GPU) • 13:56 Flynn's Taxonomy • 17:34 Execution Model Comparison • 18:39 GPU's Memory • 25:21 Programming GPUs • 29:17 How do we do efficient Memory Access? • 38:43 SIMT Unit - a GPU Pipeline • 41:39 Need for Specialized Memories • 47:24 What a GPU app Running in gem5 requires • 51:18 Creating Portable gem5 Resources • 59:47 APU vs dGPU • 01:01:27 Key GPU Code Locations • 01:03:58 How does GPU Kernel Actually Run • 01:09:49 How does an Instruction Run Through GPU • 01:16:53 Running GPU Programs in gem5 • 01:33:01 Comparing Results • 01:37:26 Comparing Simple and Dynamic Register Allocation • 01:40:25 Running Multi-Kernel GPU Applications • 01:44:08 Adding m5ops Steps • 02:04:43 Impact of m5ops

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