Chicago UpDown Computing
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Hardware • Information Technology • Payments • Software • Semiconductor • Big Data Analytics
Design and extend actor-like programming notations and compiler toolchains for an event-driven graph accelerator. Implement code generation, register and locality management, data-movement optimizations, and performance profiling. Maintain and extend compiler frameworks (LLVM/GCC/MLIR) and optimize for parallelism, memory hierarchy, and specialized hardware.
Hardware • Information Technology • Payments • Software • Semiconductor • Big Data Analytics
Lead design and implementation of a petabyte-scale unified virtual memory and system software stack for accelerator-based large-scale clusters. Build custom allocators, runtimes, schedulers, and Linux kernel/driver components. Integrate and optimize HPC workload managers, ensure high-throughput resource management, and remove kernel-space bottlenecks for massive parallel jobs.
