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GPU Computing Libraries

Libraries that enable GPU acceleration by providing Julia bindings to native GPU APIs (such as NVIDIA’s CUDA), thereby facilitating high‐performance, parallel computation.

The Linux Foundation

by The Linux Foundation

35 projects ・ Updated 14 Mar 2025

Project
Contributors
Organizations
Software value
Numba
3,660
898
$9.9M
CatBoost
3,579
353
$243M
FlashAttention
3,287
521
$3.1M
Triton
3,010
547
$8.4M
Megatron-LM
2,354
272
$30M
CuPy
2,035
433
$8.5M
NCCL
1,637
320
$4.1M
cuDF
1,633
269
$27M
CUTLASS
1,454
242
$63M
NVIDIA DALI
1,265
226
$15M
cuML
1,110
177
$7.3M
FlashInfer
1,063
168
$9.5M
CUDA.jl
920
247
$3.5M
CUDA Core Compute Libraries (CCCL)
809
158
$29M
SPIRV-Cross
785
156
$11M
WarpX
607
60
$12M
HOOMD-blue
504
38
$8.6M
NVIDIA Warp
470
77
$9M
RAPIDS Accelerator For Apache Spark
403
41
$13M
PyOpenCL
399
107
$2M
Futhark
390
96
$643K
LinearSolve.jl
296
91
$785K
PIConGPU
261
32
$15M
QUDA
254
29
$5.3M
Ginkgo
214
44
$9.7M
KernelAbstractions.jl
198
78
$202K
AMDGPU.jl
181
67
$2.2M
Fuser
133
24
$15M
Castro
0
0
$0
GPUArrays
0
0
$0
HeAT
0
0
$0
MIOpen
0
0
$0
Torch-TensorRT
0
0
$0
VortexGPGPU-Vortex
0
0
$0
rocBLAS
0
0
$0
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