CUDA sample compatibility status (v1.5)

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Note

This data is based on the CUDA sample tag v12.6.

CUDA Sample

Status

Comments

simpleVoteIntrinsics

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

vectorAdd_nvrtc

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

deviceQuery

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

reduction

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

tf32TensorCoreGemm

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

shfl_scan

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

warpAggregatedAtomicsCG

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

concurrentKernels

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

bf16TensorCoreGemm

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

bandwidthTest

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

UnifiedMemoryPerf

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

binaryPartitionCG

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

conjugateGradientMultiBlockCG

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cudaCompressibleMemory

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cudaTensorCoreGemm

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

globalToShmemAsyncCopy

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

matrixMul

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

matrixMulDrv

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

nvJPEG

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

nvJPEG_encoder

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

p2pBandwidthLatencyTest

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAWBarrier

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleCudaGraphs

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleZeroCopy

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleDrvRuntime

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

vectorAddMMAP

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleIPC

Passes on single-GPU. A known deadlock issue occurs in this test case for 8-GPU and 16-GPU configurations because of architectural differences between PPU multi-GPU direct connection and NVSwitch.

streamOrderedAllocation

✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

streamOrderedAllocationIPC

Passes on single-GPU. A known deadlock issue occurs in this test case for 8-GPU and 16-GPU configurations because of architectural differences between PPU multi-GPU direct connection and NVSwitch.

simplePrintf

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleTemplates

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleOccupancy

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

topologyQuery

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

clock

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cppIntegration

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

dwtHaar1D

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

vectorAdd

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

vectorAddDrv

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

scalarProd

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleVoteIntrinsics_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

SobolQRNG

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleCooperativeGroups

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAtomicIntrinsics

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cudaOpenMP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

fp16ScalarProduct

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

inlinePTX

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleMPI

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

template

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleHyperQ

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

reductionMultiBlockCG

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

threadFenceReduction

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

mergeSort

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

convolutionSeparable

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

FDTD3d

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

matrixMulCUBLAS

❌ 11.5 ❌ 11.6 ❌ 11.7 ❌ 11.8 ❌ 12.0 ❌ 12.1 ❌ 12.2 ❌ 12.3 ❌ 12.4 ❌ 12.5 ❌ 12.6

The calculation results have precision differences compared to NVIDIA GPUs. This is because PPU uses a different matrixMul implementation that offers better performance.

sortingNetworks

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

fastWalshTransform

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

alignedTypes

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

deviceQueryDrv

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

scan

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

BlackScholes

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

transpose

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

histogram

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

MC_SingleAsianOptionP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

MC_EstimatePiInlineP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

quasirandomGenerator

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

binomialOptions

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

MonteCarloMultiGPU

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

UnifiedMemoryStreams

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

asyncAPI

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

c++11_cuda

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cppOverload

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cuHook

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

eigenvalues

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

interval

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

newdelete

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

radixSortThrust

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

segmentationTreeThrust

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAssert

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAttributes

❌ 11.5 ❌ 11.6 ❌ 11.7 ❌ 11.8 ❌ 12.0 ❌ 12.1 ❌ 12.2 ❌ 12.3 ❌ 12.4 ❌ 12.5 ❌ 12.6

The test passes, but execution takes an extremely long time. This is because

the "Maximum y- or z-dimension of a grid of thread blocks" is 65535 on NVIDIA GPUs, while it is 2^31-1 on PPU. The sample code relies on this value, causing the extended runtime.

simpleMultiCopy

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleMultiGPU

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleP2P

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleSeparateCompilation

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleStreams

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

threadMigration

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

vectorAddDrv

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

binomialOptions_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

clock_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

inlinePTX_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

matrixMul_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

quasirandomGenerator_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAssert_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleAtomicIntrinsics_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleTemplates_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleVoteIntrinsics_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

BlackScholes_nvrtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

libNVVM

❌ 12.3 ❌ 12.4 ❌ 12.5 ❌ 12.6

PPU is compatible with the LLVM IR definition for nvgpu. However, it is not fully compatible with NVIDIA's official NVVM IR definition.

StreamPriorities

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

MC_EstimatePiInlineQ

The related curand APIs are not yet fully supported.

MC_EstimatePiP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

MC_EstimatePiQ

Related curand APIs, such as curandCreateGenerator, are not yet fully supported.

MersenneTwisterGP11213

The related curand APIs are not yet fully supported.

batchCUBLAS

Related CUBLAS APIs, such as cublasSetMatrix, are not yet fully supported.

batchedLabelMarkersAndLabelCompressionNPP

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

boxFilterNPP

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

conjugateGradientCudaGraphs

The CUSPARSE library is not yet fully supported.

conjugateGradient

conjugateGradientMultiDeviceCG

conjugateGradientPrecond

conjugateGradientUM

cuSolverDn_LinearSolver

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cuSolverRf

The CUSPARSE library is not yet fully supported, including the cusolverSpCreate API.

cuSolverSp_LinearSolver

cuSolverSp_LowlevelCholesky

cuSolverSp_LowlevelQR

graphMemoryFootprint

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

graphMemoryNodes

The APIs for memory allocation and deallocation are not defined in the current version of the header files.

immaTensorCoreGemm

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

jacobiCudaGraphs

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

matrixMulDynlinkJIT

DynlinkJIT is not currently supported.

memMapIPCDrv

cuMemGetAllocationGranularity returns a granularity of 2 MB, but the PPU is designed for 8 MB. The check in the code requires modification.

nbody

Graphics and OpenGL related APIs are not supported.

Mandelbrot

particles

oceanFFT

simpleCUDA2GL

simpleGL

recursiveGaussian

ptxjit

PPU does not support PTX.

randomFog

Lacks graphical display capabilities.

simpleCUBLAS

The CUBLAS API implementation is incomplete.

simpleCUBLASXT

simpleCUBLAS_LU

✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleCUFFT

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

simpleCUFFT_2d_MGPU

cuFFT is partially supported.

simpleCUFFT_MGPU

simpleCUFFT_callback

systemWideAtomics

FilterBorderControlNPP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

watershedSegmentationNPP

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

streamOrderedAllocationP2P

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

EGLStream_CUDA_CrossGPU

EGL-related APIs are not supported.

EGLStream_CUDA_Interop

EGLStreams_CUDA_Interop

EGLSync_CUDAEvent_Interop

GLES is not supported.

cuDLALayerwiseStatsStandalone

cuDLALayerwiseStatsHybrid

simpleGLES_EGLOutput

fluidsGLES

nbody_opengles

simpleGLES

simpleGLES_screen

nbody_screen

cuDLAHybridMode

cuDLAStandaloneMode

cuDLAErrorReporting

cudaNvSciNvMedia

cdpAdvancedQuicksort

The CUDA Dynamic Parallelism (CDP) feature is not supported.

cdpBezierTessellation

cdpQuadtree

cdpSimplePrint

cdpSimpleQuicksort

cudaNvSci

libnvscibuf.so not found.

NvSci is not currently supported.

dmmaTensorCoreGemm

PPU tensor cores do not support Double MMA instructions.

dxtc

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

freeImageInteropNPP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

histEqualizationNPP

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

cannyEdgeDetectorNPP

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

convolutionTexture

PPU does not support texture and GL features.

bindlessTexture

bicubicTexture

HSOpticalFlow

simpleLayeredTexture

simplePitchLinearTexture

simpleSurfaceWrite

simpleTexture

simpleTexture3D

simpleTextureDrv

simpleCubemapTexture

volumeFiltering

volumeRender

vulkanImageCUDA

stereoDisparity

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

boxFilter

bilateralFilter

postProcessGL

imageDenoising

fluidsGL

smokeParticles

lineOfSight

marchingCubes

convolutionFFT2D

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

dct8x8

NV12toBGRandResize

✅ 11.1 ✅ 11.2 ✅ 11.3 ✅ 11.4 ✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

SobelFilter

FunctionPointers

simpleVulkan

Vulkan-CUDA interop features are not currently supported.

simpleVulkanMMAP

simpleD3D10

PPU does not support D3D graphics-related APIs.

fluidsD3D9

simpleD3D11

simpleD3D11Texture

simpleD3D10RenderTarget

simpleD3D10Texture

SLID3D10Texture

VFlockingD3D10

simpleD3D12

simpleD3D9Texture

simpleD3D9

cudaGraphsPerfScaling

❌ 12.5 ❌ 12.6

cudaGraphUpload API API not supported

simpleCallback

✅ 11.5 ✅ 11.6 ✅ 11.7 ✅ 11.8 ✅ 12.0 ✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6

LargeKernelParameter

✅ 12.1 ✅ 12.2 ✅ 12.3 ✅ 12.4 ✅ 12.5 ✅ 12.6