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USER MANUAL
JetKit-3010
ELMA.COM
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Features:
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End-to-end lossless compression
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Tile Caching
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OpenGL 4.6, OpenGL ES 3.2, and Vulkan 1.0
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Adaptive Scalable Texture Compression (ATSC) LDR profile supported
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DirectX 12 compliant
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CUDA support
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Iterated blend, ROP OpenGL-ES blend modes
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2D BLIT from 3D class avoids channel switch
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2D color compression
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Constant color render SM bypass
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2x, 4x, 8x MSAA with color and Z compression
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Non-power-of-2 and 3D textures, FP16 texture filtering
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FP16 shader support
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Geometry and Vertex attribute Instancing
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Parallel pixel processing
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Early-z reject: Fast rejection of occluded pixels acts as multiplier on pixel shader and
texture performance while saving power and bandwidth
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Video protection region
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Power saving: Multiple levels of clock gating for linear scaling of power
2.4.2
Tensor Cores
2
Tensor Cores and their associated data paths are custom-crafted to dramatically increase floating-
point compute throughput. Each Tensor Core performs 64 floating point FMA mixed-precision
operations per clock, eight Tensor Cores in an SM perform a total of 1024 floating point operations
per clock. Tensor Cores operate on FP16 input data with FP32 accumulation; the FP16 multiply
results in a full precision result that is accumulated in FP32 operations. Each Tensor Core provides
a 4 × 4 × 4 matrix processing array which performs the operation D = A × B + C, where A, B, C
and D are 4 × 4 matrices. The matrix multiply inputs A and B are FP16 matrices, while the
accumulation matrices C and D may be FP16 or FP32 matrices.
A graphical overview on this operation can be seen in Figure 1.
Figure 1 - Matrix processing
2
Tensor Cores description is taken from NVIDIA
®
Xavier
™
Series System-on-Chip Technical Reference Manual
Source: Nvidia
®
Содержание JetKit-3010
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