(a) Batched GEMM (float32) [TFLOP/s]
fleet mean: 18.9 TFLOP/s
Fleet distribution of GPU mean performance (TFLOP/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 19 | 19 | +0.0% | |
(b) Convolution (float32) [img/s]
fleet mean: 1,640,940.0 img/s
Fleet distribution of GPU mean performance (img/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 1,640,940 | 1,640,940 | +0.0% | |
(c) Einsum Attention (float32) [TFLOP/s]
fleet mean: 14.2 TFLOP/s
Fleet distribution of GPU mean performance (TFLOP/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 14 | 14 | +0.0% | |
(d) Memory Traffic (float32) [GB/s]
fleet mean: 27.7 GB/s
Fleet distribution of GPU mean performance (GB/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 28 | 28 | +0.0% | |
(e) Heat Equation (float32) [MLUPS]
fleet mean: 10,613.0 MLUPS
Fleet distribution of GPU mean performance (MLUPS)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 10,613 | 10,613 | +0.0% | |
(f) Schrödinger Equation (float32) [iter/s]
fleet mean: 43.2 iter/s
Fleet distribution of GPU mean performance (iter/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 43 | 43 | +0.0% | |
(g) Atomic Contention (float32) [Gops/s]
fleet mean: 1.7 Gops/s
Fleet distribution of GPU mean performance (Gops/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 2 | 2 | +0.0% | |
(h) Sparse MM (float32) [TFLOP/s]
fleet mean: 2.0 TFLOP/s
Fleet distribution of GPU mean performance (TFLOP/s)
| node |
GPU 0 |
node mean |
vs fleet |
thrt |
| x1921c1s2b0n0 | 2 | 2 | +0.0% | |