atomr-accel-cuda 0.10.0

GPU acceleration via the actor model. Wraps NVIDIA CUDA libraries (cuBLAS, cuDNN, cuFFT, cuRAND, cuSOLVER, cuSPARSE, cuTENSOR, cuBLASLt, NVRTC, NCCL) as supervised atomr actors with generation-validated buffers and a uniform async surface.
Documentation

atomr-accel-cuda

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 53 feature flags, 0 of them enabled by default.

default

This feature flag does not enable additional features.

blackwell

cluster

core-libs

cublas-fp8

cublaslt

This feature flag does not enable additional features.

cuda-ipc

This feature flag does not enable additional features.

cuda-managed

This feature flag does not enable additional features.

cuda-runtime-tests

This feature flag does not enable additional features.

cudnn

cufft

cupti

curand

This feature flag does not enable additional features.

curand-host

curand-quasirandom

cusolver

cusolver-sp

cusparse

cusparse-generic

cusparse-lt

This feature flag does not enable additional features.

cutensor

cutensor-autotune

cutlass

cutlass-evt

cutlass-grouped

cutlass-prebuilt

f16

f4

f8

flashattn

flashattn-fp8

flashattn-paged

full-cuda

graphs-conditional

This feature flag does not enable additional features.

hopper

This feature flag does not enable additional features.

nccl

nccl-fp8

nccl-nvls

nvml

nvrtc

This feature flag does not enable additional features.

nvrtc-async

nvrtc-lto

nvtx

nvtx-trace

observability-full

replay

streams

telemetry

tensorrt

tensorrt-fp8

tensorrt-int8

tensorrt-onnx

tensorrt-plugin

training-libs