Strategic Objectives
• Master the low-level logic of Bounding Volume Hierarchy (BVH) traversal units.
• Optimize intersection engines to handle complex geometry at nanosecond speeds.
• Explore memory hierarchy strategies designed specifically for incoherent ray data.
• Implement denosing hardware that bridges the gap between sparse samples and photorealism.
The Core Challenge
Traditional rasterization is hitting a wall, and processing billions of rays per second requires more than raw power; it demands a total reinvention of the computational pipeline.
01
The Light Transport Challenge
02
Hardware Acceleration Units
03
The Geometry Pipeline
04
Spatial Data Structures
05
Traversal Algorithms
06
Intersection Logic
07
Memory Latency and Incoherence
08
MIMD vs. SIMD Architectures
09
Thread Scheduling for Rays
10
Texture Mapping in Ray Tracing
11
The Global Illumination Problem
12
Monte Carlo Integration Hardware
13
Hardware Denoising Strategies
14
Precision and Fixed-Point Math
15
Power-Efficient Architectures
16
The BVH Builder Hardware
17
Shading Divergence
18
High-Bandwidth Memory (HBM)
19
The Role of ASICs
20
Hybrid Rendering Architectures
21
The Future of Photonic Computing
Explore Research Ecosystem
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