Myths Programmers Believe about CPU Caches
🧠Memory Models
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The Hidden Cost of Bad Caching: Why More Cache Isn't Always Better
⚡Cache-Aware Algorithms
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·6h
⚡Cache-Aware Algorithms
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Well-Typed.Com: Case Study: Debugging a Haskell space leak
well-typed.com·22h
📚Stack Allocation
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Utilizing Chiplet-Locality For Efficient Memory Mapping In MCM GPUs (ETRI, Sungkyunkwan Univ.)
semiengineering.com·1d
🗺️Memory Mapping
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Kioshun - in-memory cache now with optional, embedded, mesh cluster.
💾Caching Compilers
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Don't give Postgres too much memory
🧠Memory Models
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Challenging the Fastest OSS Workflow Engine
📡Erlang BEAM
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How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.
📚Stack Data Structures
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Memoization, a useful pattern for quick optimization
event-driven.io·3d
🔗Weak References
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Why vLLM is the best choice for AI inference today
developers.redhat.com·1d
📡Erlang BEAM
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Designing Data-Intensive Applications — Chapter 1: Reliable, Scalable, and Maintainable Applications
🗄️Database Engines
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Building Up And Sanding Down
endler.dev·22h
🔧API Design
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Libevpl – event loop engine with unified abstractions for network and block I/O
📜Bytecode
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