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k
float64
1
20k
rep
float64
0
59
psnr
float64
2.29
120
ssim
float64
0.26
1
lpips
float64
0
0.83
mse
float64
0
0.59
cat
float64
0
1
scene
large_stringclasses
4 values
precision
large_stringclasses
3 values
guarded
bool
2 classes
1
0
56.28174
0.999763
0.004355
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chair
bf16
false
1
1
120
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120
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120
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4
120
1
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1
chair
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5
120
1
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1
chair
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6
120
1
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1
chair
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7
120
1
0
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1
chair
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8
86.406778
1
0
0
1
chair
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1
9
50.004206
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1
chair
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1
10
120
1
0
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1
chair
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1
11
62.704984
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1
chair
bf16
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1
12
120
1
0
0
1
chair
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false
1
13
120
1
0
0
1
chair
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false
1
14
109.227257
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0
0
1
chair
bf16
false
1
15
120
1
0
0
1
chair
bf16
false
1
16
120
1
0
0
1
chair
bf16
false
1
17
120
1
0
0
1
chair
bf16
false
1
18
120
1
0
0
1
chair
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1
19
72.446621
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1
chair
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false
1
20
120
1
0
0
1
chair
bf16
false
1
21
120
1
0
0
1
chair
bf16
false
1
22
120
1
0
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1
chair
bf16
false
1
23
120
1
0
0
1
chair
bf16
false
1
24
120
1
0
0
1
chair
bf16
false
1
25
99.631039
1
0
0
1
chair
bf16
false
1
26
120
1
0
0
1
chair
bf16
false
1
27
120
1
0
0
1
chair
bf16
false
1
28
96.534036
1
0
0
1
chair
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false
1
29
106.777275
1
0
0
1
chair
bf16
false
1
30
86.445477
0.999999
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0
1
chair
bf16
false
1
31
120
1
0
0
1
chair
bf16
false
1
32
120
1
0
0
1
chair
bf16
false
1
33
120
1
0
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1
chair
bf16
false
1
34
120
1
0
0
1
chair
bf16
false
1
35
120
1
0
0
1
chair
bf16
false
1
36
104.881487
1
0
0
1
chair
bf16
false
1
37
62.15841
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1
chair
bf16
false
1
38
120
1
0
0
1
chair
bf16
false
1
39
120
1
0
0
1
chair
bf16
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1
40
120
1
0
0
1
chair
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false
1
41
109.512999
1
0
0
1
chair
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1
42
120
1
0
0
1
chair
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1
43
93.265066
1
0
0
1
chair
bf16
false
1
44
120
1
0
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1
chair
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1
45
102.097428
1
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1
chair
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false
1
46
109.498754
1
0
0
1
chair
bf16
false
1
47
103.002959
1
0
0
1
chair
bf16
false
1
48
120
1
0
0
1
chair
bf16
false
1
49
120
1
0
0
1
chair
bf16
false
1
50
120
1
0
0
1
chair
bf16
false
1
51
67.088622
0.999981
0.000023
0
1
chair
bf16
false
1
52
120
1
0
0
1
chair
bf16
false
1
53
88.322498
1
0
0
1
chair
bf16
false
1
54
120
1
0
0
1
chair
bf16
false
1
55
120
1
0
0
1
chair
bf16
false
1
56
120
1
0
0
1
chair
bf16
false
1
57
119.197056
1
0
0
1
chair
bf16
false
1
58
114.821335
1
0
0
1
chair
bf16
false
1
59
120
1
0
0
1
chair
bf16
false
2
0
120
1
0
0
1
chair
bf16
false
2
1
120
1
0
0
1
chair
bf16
false
2
2
69.90799
0.999996
0.000002
0
1
chair
bf16
false
2
3
120
1
0
0
1
chair
bf16
false
2
4
95.932756
1
0
0
1
chair
bf16
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2
5
111.465937
1
0
0
1
chair
bf16
false
2
6
120
1
0
0
1
chair
bf16
false
2
7
56.142477
0.999937
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1
chair
bf16
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2
8
120
1
0
0
1
chair
bf16
false
2
9
120
1
0
0
1
chair
bf16
false
2
10
120
1
0
0
1
chair
bf16
false
2
11
120
1
0
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1
chair
bf16
false
2
12
120
1
0
0
1
chair
bf16
false
2
13
120
1
0
0
1
chair
bf16
false
2
14
115.549716
1
0
0
1
chair
bf16
false
2
15
120
1
0
0
1
chair
bf16
false
2
16
120
1
0
0
1
chair
bf16
false
2
17
120
1
0
0
1
chair
bf16
false
2
18
50.839959
0.998742
0.006079
0.000008
1
chair
bf16
false
2
19
120
1
0
0
1
chair
bf16
false
2
20
120
1
0
0
1
chair
bf16
false
2
21
120
1
0
0
1
chair
bf16
false
2
22
120
1
0
0
1
chair
bf16
false
2
23
104.50689
1
0
0
1
chair
bf16
false
2
24
55.317288
0.999903
0.00021
0.000003
1
chair
bf16
false
2
25
120
1
0
0
1
chair
bf16
false
2
26
120
1
0
0
1
chair
bf16
false
2
27
120
1
0
0
1
chair
bf16
false
2
28
101.365844
1
0
0
1
chair
bf16
false
2
29
112.60196
1
0
0
1
chair
bf16
false
2
30
120
1
0
0
1
chair
bf16
false
2
31
94.516724
1
0
0
1
chair
bf16
false
2
32
120
1
0
0
1
chair
bf16
false
2
33
120
1
0
0
1
chair
bf16
false
2
34
48.572837
0.99959
0.003134
0.000014
1
chair
bf16
false
2
35
120
1
0
0
1
chair
bf16
false
2
36
120
1
0
0
1
chair
bf16
false
2
37
104.203254
1
0
0
1
chair
bf16
false
2
38
120
1
0
0
1
chair
bf16
false
2
39
118.018203
1
0
0
1
chair
bf16
false
End of preview. Expand in Data Studio

Single-Event Upsets in 3D Gaussian Splatting Rendering

Artifacts for the paper Single-Event Upsets in 3D Gaussian Splatting Rendering: Bit-Level Criticality, Spatial Extent, and a Parallel Support Guard (F. Alpay and B. Basaran).

A trained 3DGS model is a large floating-point array resident in GPU memory, so a single-event upset is one flipped bit in one parameter. This repository releases the fault-injection engine, the trained models, the per-cell aggregated records of more than three million controlled single-bit upsets, the multi-upset records, the throughput measurements, the logs (including the periodic device-utilization trace), and the scripts that regenerate every figure and table in the paper.

Trained scenes

scene primitives PSNR (dB) SSIM
chair 134,826 39.22 0.9942
lego 121,691 30.70 0.9815
ficus 125,606 31.99 0.9855
hotdog 63,452 38.50 0.9874

Layout

code/        training, fault-injection engine, campaign, analysis, figures
models/      trained gsplat checkpoints per scene (model.pt)
data/        per-injection records as Parquet (browsable in the viewer)
results/     aggregate.json, bench.json, multiupset/largescene records, summaries
logs/        campaign / driver / GPU-utilisation logs
figures/     regenerated figures, tables, and numbers.tex

Paper: see PAPER_URL below. Reproduce with code/ following code/'s header comments; the GPU run used an RTX 5090 (sm_120), PyTorch 2.12 / CUDA 13, gsplat 1.5.3.

PAPER_URL: ARXIV_LINK_PLACEHOLDER

The per-injection records are browsable in the dataset viewer (single_bit_upsets: one row per single-bit upset, several million rows; multi_upset: accumulated-dose records), stored as Parquet under data/.

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