Computer Science @ The University of Manchester

TornadoVM @tornadovm · Jul 10

TornadoVM 5.0.0 is @nvidia CUDA-native. One line of #Java. 74× faster.

TornadoVM's Hybrid API drops a native cuBLAS call straight into a TaskGraph - same buffers, same #CUDA stream, zero host round-trips.

Hybrid API: bit.ly/4vqL7sq
Deep dive: bit.ly/44VecBf

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Thanos Stratikopoulos @thanos_str · Oct 2, 2025

#Java + #GPUs + #AI = #TornadoVM

We’re speaking at #Devoxx 2025! I will be there along with @mikepapadim @MXekalaki @CKotselidis for a deep dive on @tornadovm!

📅 Oct 6 | 13:30–16:30 | Rm 4

@hipeac
@EU_CloudEdgeIoT
@AERO_Project_EU
@P2CODE_eu
@tangoproject_eu

#opensource

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github.com GitHub - beehive-lab/TornadoVM: Write Java. Run on GPUs. Fast. Write Java. Run on GPUs. Fast. Contribute to beehive-lab/TornadoVM development by creating an account on GitHub.

AERO @AERO_Project_EU · Aug 6, 2025

📢 Super exciting news! Two talks on #TornadoVM one of the technologies used and extended in our project will be part of the #DevoxxBE program in October!

Congratulations to the #TornadoVM team from the Department of Computer Science, The University of Manchester! 👏

@EU_HaDEA

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Mary Xekalaki @MXekalaki · May 30, 2025

We are proud to release the first fully JITed, open-source GPU-accelerated Llama3 inference in pure Java powered by #TornadoVM  🚀

🎯 NVIDIA GPUs using PTX and OpenCL backend
👉 github.com/beehive-lab/GP…
We are looking forward to your feedback! 
#opensource #Java #AI #LLM #GPUs

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