PopPy combines an ahead-of-time compiler and runtime to extract parallelism from Python compound AI applications, delivering up to 6.4x end-to-end speedups while preserving sequential semantics.
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WarpL uses mutation to find and isolate suboptimal instruction sequences causing performance issues in WebAssembly runtimes by comparing machine code of original and non-problematic mutant programs.
Amoeba adaptively adjusts tensor parallelism at runtime for LLM inference services to handle mixed short and long context requests, delivering 1.75x-6.57x throughput gains over prior solutions in real-world trace evaluations.
citing papers explorer
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PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications
PopPy combines an ahead-of-time compiler and runtime to extract parallelism from Python compound AI applications, delivering up to 6.4x end-to-end speedups while preserving sequential semantics.
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Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference
WarpL uses mutation to find and isolate suboptimal instruction sequences causing performance issues in WebAssembly runtimes by comparing machine code of original and non-problematic mutant programs.
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Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
Amoeba adaptively adjusts tensor parallelism at runtime for LLM inference services to handle mixed short and long context requests, delivering 1.75x-6.57x throughput gains over prior solutions in real-world trace evaluations.