Total Recall: A Debugging Framework for GPUs (English)

In: Graphics Hardware   ;  13-20  ;  2008

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GPUs have transformed from simple fixed-function processors to powerful, programmable stream processors and are continuing to evolve. Programming these massively parallel GPUs, however, is very different from programming a sequential CPU. Lack of native support for debugging coupled with the parallelism in the GPU makes program development for the GPU a non-trivial task. As GPU programs grow in complexity because of scaling in maximum allowed program size and increased demand in terms of realism, debugging GPU code is becoming a major timesink for content developers. In addition to more complex shaders, applications are using multi-pass effects in order to create more convincing reality. In this paper, we present a debugging framework that can be employed to debug complex code running on the GPU in an efficient manner. By observing the API calls of the application that are made to the 3D runtime, the framework can keep track of the program's state in memory. Upon the programmer's request, it is able to capture and deterministically replay the stream of instructions that caused the final write to a pixel of interest. This execution stream includes writes to intermediate render targets and spans across shader boundaries. The stream of instructions can then be replayed on the CPU via emulation and the programmer can debug the straight-line code with ease. We also present a hardware-friendly scheme that can be used to accelerate the debugging process for long-chain multi-pass effects.

  • Title:
    Total Recall: A Debugging Framework for GPUs
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Place of publication:
    Postfach 8043, 38621 Goslar, Germany
  • Year of publication:
    2008
  • Size:
    8 pages
  • ISBN:
  • ISSN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Tracy: A Debugger and System Analyzer for Cross-Platform Graphics Development
Kyöstilä, Sami / Kangas, Kari J. / Pulli, Kari | 2008
13
Total Recall: A Debugging Framework for GPUs
Sharif, Ahmad / Lee, Hsien-Hsin S. | 2008
21
A Hardware Processing Unit for Point Sets
Heinzle, Simon / Guennebaud, Gaël / Botsch, Mario / Gross, Markus | 2008
33
Coherent Layer Peeling for Transparent High-Depth-Complexity Scenes
Carr, Nathan / Mech, Radomir / Miller, Gavin | 2008
41
Non-Uniform Fractional Tessellation
Munkberg, Jacob / Hasselgren, Jon / Akenine-Möller, Tomas | 2008
47
All-Pairs Shortest-Paths for Large Graphs on the GPU
Katz, Gary J. / Jr., Joseph T. Kider | 2008
57
On Dynamic Load Balancing on Graphics Processors
Cederman, Daniel / Tsigas, Philippas | 2008
65
GPU Accelerated Pathfinding
Bleiweiss, Avi | 2008
75
Floating-Point Buffer Compression in a Unified Codec Architecture
Ström, Jacob / Wennersten, Per / Rasmusson, Jim / Hasselgren, Jon / Munkberg, Jacob / Clarberg, Petrik / Akenine-Möller, Tomas | 2008
85
DHTC: An Effective DXTC-based HDR Texture Compression Scheme
Sun, Wen / Lu, Yan / Wu, Feng / Li, Shipeng | 2008
95
An Improved Shading Cache for Modern GPUs
Sitthi-amorn, Pitchaya / Lawrence, Jason / Yang, Lei / Sander, Pedro V. / Nehab, Diego | 2008
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