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mikepapadim/README.md

Michalis Papadimitriou

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About

I run Java on GPUs — building GPU-accelerated runtimes, compilers, and LLM inference engines for the JVM.

  • Position: Senior Software Engineer @ Neo4j (Cypher Runtime) · Research Fellow @ The University of Manchester
  • Interests: JIT Compilation, GPUs, Managed Runtimes, Machine Learning Compilers, LLM Inference, Database Performance
  • Software Stack: Java, C++, Scala, Python, CUDA, OpenCL, Metal, GraalVM, Apache TVM, TornadoVM

Featured Projects

  • GPULlama3.java — lead author. GPU-accelerated LLM inference (Llama3, Mistral, Qwen, Phi-3, Granite) in pure Java via TornadoVM. OpenCL / CUDA / Metal backends, LangChain4j + Quarkus integration.
  • TornadoVM — core maintainer. A Java framework for transparently offloading JVM applications to GPUs, FPGAs, and multi-core CPUs without rewriting them in CUDA or OpenCL.

Pinned Loading

  1. beehive-lab/TornadoVM beehive-lab/TornadoVM Public

    Write Java. Run on GPUs. Fast.

    Java 1.5k 135

  2. beehive-lab/GPULlama3.java beehive-lab/GPULlama3.java Public

    GPU-accelerated Llama3.java inference in pure Java using TornadoVM.

    Java 266 35

  3. apache/tvm apache/tvm Public

    Open Machine Learning Compiler Framework

    Python 13.6k 3.9k

  4. llama-shepherd-cli llama-shepherd-cli Public

    A CLI to manage install and configure llama inference implemenation in multiple languages

    Python 64 4

  5. llama2.tornadovm.java llama2.tornadovm.java Public

    An extension to Llama2.java implementation accelerated with GPUs, using TornadoVM

    Java 27 4

  6. london-property-hunt-public london-property-hunt-public Public

    Automated London flat/room hunt powered by Claude Code + Claude in Chrome + Gmail MCP. Scrapes 4 rental platforms on a cron, deduplicates via spreadsheet, prioritises HIGH/MED/LOW, and emails ready…

    83 16