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Use NVIDIA NCCL from TornadoVM (tornado-nccl module) — multi-GPU collectives (all-reduce, broadcast, reduce, all-gather, reduce-scatter), send/recv, grouped operations, NcclPlanGroup, CUDA-graph capture, abort/step timeout, and communicators across several…
NVIDIA-specific TornadoVM workflows on the CUDA backend — profile with Nsight Systems (nsys) and read NVTX ranges, use the hybrid library-task API (cuBLAS/cuBLASLt/cuDNN/cuFFT/cuSPARSE/cuTENSOR/CUTLASS/NCCL native calls from Java), print the generated CUDA-C…
Run a measured performance/correctness campaign on the TornadoVM runtime — profile first (JFR for host, Nsight Systems for driver), falsify the hypothesis with a standalone probe, A/B against a same-build baseline, then ship one PR per measured claim. Use…
Build, test, and contribute to TornadoVM's OpenCL/CUDA/Metal backends — make BACKEND targets, tornado-test (quickPass/single-class), checkstyle-before-PR, one-line commits, the develop-branch PR flow, and the recurring graalJars/setvars build gotchas. Use…
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