Moving past speculation: How deterministic CPUs deliver predictable AI performance
venturebeat.com·22h
🚫Branch-Free Programming
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Pipeline RUL prediction method that considers the coupling of multiple corrosion factors: Integrating deep learning and stochastic processes
sciencedirect.com·12h
🤖Scikit-learn
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Machine Scheduler in LLVM – Part II
⚙️CPU Pipeline
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Can-t stop till you get enough
🚫Branch-Free Programming
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Enhanced SPICE Modeling via Adaptive Transient Analysis & Hierarchical Parameter Optimization
🌪️Chaos Engineering
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Q&A #80 (2025-10-31)
computerenhance.com·1d
🐛Fuzz Testing
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My C++ lockless-ish task scheduler project ive been working on (first real project, also first time using threads) tell me what you think (BSD license) currentl...
🧩Memory Pooling
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<p>**Abstract:** Accurate characterization of geothermal fluids and subsurface reservoirs is critical for efficient and sustainable energy extraction. Tradition...
freederia.com·8h
⚙️Performance Profiling
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·13h
📉Time Series Analysis
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Optimizing Debian packages
grulic.org.ar·10h
📦Nixpkgs
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A unified threshold-constrained optimization framework for consistent and interpretable cross-machine condition monitoring
sciencedirect.com·1d
🎛statistical process control
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After the Last Git Commit
🪄Magit
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TIL: For long-lived LLM sessions, swapping KV Cache to RAM is ~10x faster than recalculating it. Why isn't this a standard feature?
⚙️Performance Profiling
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