AMGSRN++: Improved Adaptive SRN for Scientific Visualization

We present AMGSRN++, which advances previous state of the art APMGSRN along three key directions. First, we implement efficient CUDA kernels to fuse the encoding operation into a single kernel, reducing VRAM requirement by over 50 \% improving throughput, enabling faster training and rendering with...

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Veröffentlicht in:	IEEE Pacific Visualization Symposium S. 182 - 191
Hauptverfasser:	Wurster, Skylar W., Shen, Han-Wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.04.2025
Schlagworte:	Fitting Fuses Graphics processing units Hardware Human computer interaction Human-centered computing-Visualization-Visualization application domains-Scientific visualization Humancentered computing-Visualization-Visualization systems and tools-Visualization toolkits Kernel Real-time systems Rendering (computer graphics) Throughput Training
ISSN:	2165-8773
Online-Zugang:	Volltext
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