Myths Programmers Believe about CPU Caches
🧠Memory Models
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·10h
⚡Cache Optimization
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Fungus: The Befunge CPU(2015)
🌳B+ Trees
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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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Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
arxiv.org·22h
🧠Memory Ordering
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Challenging the Fastest OSS Workflow Engine
📡Erlang BEAM
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Well-Typed.Com: Case Study: Debugging a Haskell space leak
well-typed.com·1d
📚Stack Allocation
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Don't give Postgres too much memory
🧠Memory Models
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Never Forget a Thing: Building AI Agents with Hybrid Memory Using Strands Agents
🔄Subinterpreters
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·16h
💬Smalltalk VMs
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Kioshun - in-memory cache now with optional, embedded, mesh cluster.
⚡Cache Optimization
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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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We’re back with episode 2 of 1 IDEA! Today, Vinay Perneti (VP of Eng @ Augment Code) shares his own Bottleneck Test
📊Profiling Tools
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