Department of Computer Science, University of #Manchester @OfficialUoM, one of the largest in the @RussellGroup 👩🏿‍💻👩‍💻👨🏿‍💻👨‍💻

Manchester, UK
Joined July 2012
Computer Science @ The University of Manchester retweeted
After 10 years of lessons learned,@tornadovm introduces its own lean, modern Java-to-GPU compiler written in pure Java, no Graal or JVMCI dependencies. With AOT support, Leyden and @graalvm Native Image readiness, and improved compiler tooling. Apache 2.0 licenced.
TornadoVM 8.0.0 is out 🌪️ After 10 years: thank you, Graal. Java kernels are now compiled by TC, our own pure-Java compiler to CUDA, OpenCL and Metal. • AOT ready • No JVMCI • Now Apache 2.0 • Your code doesn't change 👉 tornadovm.org/blogs/tornadov… #OpenSource #Java #AI #GPU
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Computer Science @ The University of Manchester retweeted
TornadoVM 8.0.0 is out 🌪️ After 10 years: thank you, Graal. Java kernels are now compiled by TC, our own pure-Java compiler to CUDA, OpenCL and Metal. • AOT ready • No JVMCI • Now Apache 2.0 • Your code doesn't change 👉 tornadovm.org/blogs/tornadov… #OpenSource #Java #AI #GPU
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Computer Science @ The University of Manchester retweeted
Great to see @tornadovm on the top of the @ycombinator today! The article has all of the latest work on accessing @nvidia libraries from Java!
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Computer Science @ The University of Manchester retweeted
Honoured to receive the Best Paper Award at #INLG2026! 🎉🍾 Our survey, led by my student @tylerl404, reveals a striking gap between AI practitioners and the public: practitioners are more optimistic, yet nearly half still see AI’s societal impact as negative @csmcr @inlgmeeting
Happy to announce that my paper with @chenghua_lin "Do as I Say, Not as You Do: Assessing Public Versus Practitioner Perspectives on the Development of Artificial Intelligence and Language Technologies" won Best Paper at @inlgmeeting! @sltcdt #NLP Paper: bit.ly/4iaeier
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Computer Science @ The University of Manchester retweeted
Had so much fun at @JDD_Krakow 2026 in Kraków yesterday. I presented “Java Goes CUDA-Native”: new @tornadovm features that let @jitLLM run LLM inference at GPU-native speed, from Java. tornadovm.org jitllm.io #opensource #Java #TornadoVM #GPU #AI
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Computer Science @ The University of Manchester retweeted
🟩AERO Project | Final Review Meeting On 29 September 2026, the AERO consortium gathered in Athens, Greece, for the project's Final Review Meeting, marking an important milestone in its journey.
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Computer Science @ The University of Manchester retweeted
96.65 tokens/sec for #Llama 3.2 1B – running through a pure-#Java GPU inference engine. @mikepapadim explores GPULlama3.java & #TornadoVM and how they bring GPU-accelerated #LLM inference to the #JVM. See the code: javapro.io/2026/10/13/buildi… #AI @langchain4j @QuarkusIO
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Computer Science @ The University of Manchester retweeted
LLM Inference on GPU in Java? @tornadovm and @jitllm at @Devoxx Belgium! * Java writing Java that runs on the GPU. Java for the GPU, on the GPU!. * A @QuarkusIO @langchain4j application reviewing it's future port to Quarkus 4 locally, all in Java on GPU! youtu.be/HO5CpETzywk?is=_ws2…
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Computer Science @ The University of Manchester retweeted
TornadoVM has a new family member! #jitLLM provides blazing fast AI inference at native speed⚡️👇
Can Java compete with llama.cpp/@ollama? YES! With @jitLLM! jitLLM uses @nvidia CUDA libraries (cuBLAS, cuDNN) and reaches 0.90× to 1.12× of llama.cpp's throughput! jitLLM is empowered by @tornadovm and will be soon in @langchain4j and @QuarkusIO. github.com/beehive-lab/jitll…
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Computer Science @ The University of Manchester retweeted
Yesterday my colleagues @MXekalaki and @mikepapadim showed live demos about using @nvidia cuFFT and cuBLAS with @tornadovm for signal filtering and @jitllm! NVIDIA performance is a jar away from Java. #Java #CUDA #TornadoVM
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Computer Science @ The University of Manchester retweeted
We are @Devoxx, getting ready for our first hands-on #GPU lab for #Java! We will be in BOF2 room at 16:50, with live demos! @tornadovm @jitllm
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Computer Science @ The University of Manchester retweeted
Can Java compete with llama.cpp/@ollama? YES! With @jitLLM! jitLLM uses @nvidia CUDA libraries (cuBLAS, cuDNN) and reaches 0.90× to 1.12× of llama.cpp's throughput! jitLLM is empowered by @tornadovm and will be soon in @langchain4j and @QuarkusIO. github.com/beehive-lab/jitll…
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Computer Science @ The University of Manchester retweeted
Next week we will be in @Devoxx and speak about @tornadovm, @jitllm and how we accelerate Java on GPUs, using @nvidia native libraries! Come and talk to us, to learn more! #opensource #Java #AI #TornadoVM #jitLLM #GPU
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Computer Science @ The University of Manchester retweeted
TornadoVM 7.0.0 is out! New TileContext API: Write #GPU kernels from #Java in tiles, not threads, via @nvidia cuTile model. The compiler picks threads, shared memory and Tensor Cores. Mixes with Parallel API, KernelContext & cuBLAS in one TaskGraph. 👉 github.com/beehive-lab/Torna…
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Computer Science @ The University of Manchester retweeted
Java 27 is out and @tornadovm is already compatible! xitter.cf/tornadovm/status/21002…
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Computer Science @ The University of Manchester retweeted
Java 27 arrived yesterday! And we are compatible since Day-0! #opensource #Java #TornadoVM #GPU
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Computer Science @ The University of Manchester retweeted
A new TileContext API in TornadoVM's CUDA backend! Write tile kernels in plain Java and let @nvidia's cuTile compiler pick the threads, layouts and tensor-core instructions. No PTX, no warps. PR is open - feedback welcome 👇 github.com/beehive-lab/Torna… #Java #TornadoVM #GPU
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Computer Science @ The University of Manchester retweeted
TornadoVM 6.0.0 is here - JVMCI-free and JNI-free. ✅ Compatible with any JDK 21-27 distribution. ✅ Cold start down 37%. ✅ 4.1× faster GEMM with Tensor-Core MMA. ✅ ~7,400 lines of C/C++ glue deleted. 📖 New blog: tornadovm.org/blogs/tornadov… All SDKs are pushed in @sdkman_ and docker images in DockerHub! #Java #GPU #CUDA #TornadoVM #OpenSource #HPC #AI
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Computer Science @ The University of Manchester retweeted
Big leap forward for Tornadovm, as it moves into a JVMCI and JNI free era by adapting FFM. All new updates will be @Devoxx in Belgium along how we enable more @nvidia features to the JVM!
TornadoVM 6.0.0 is here - JVMCI-free and JNI-free. ✅ Compatible with any JDK 21-27 distribution. ✅ Cold start down 37%. ✅ 4.1× faster GEMM with Tensor-Core MMA. ✅ ~7,400 lines of C/C++ glue deleted. 📖 New blog: tornadovm.org/blogs/tornadov… All SDKs are pushed in @sdkman_ and docker images in DockerHub! #Java #GPU #CUDA #TornadoVM #OpenSource #HPC #AI
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