Write Java. Run on GPUs. Fast.
TornadoVM is a Java framework that compiles Java code into programs for GPUs and multicore CPUs at runtime. Java developers use it to run compute-heavy code on NVIDIA, AMD, Intel, and Apple hardware without writing CUDA C or maintaining JNI bindings.
Skill Claude CodeCodex
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 kernel, and fuzz-test the CUDA-C backend with tornado-fuzz.…
Skill Claude CodeCodex
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 when asked to make TornadoVM faster, to find where time goes in…
Skill Claude CodeCodex
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 when building the project, running or adding unit tests, or…