Opportunistically Parallel Lambda Calculus
dl.acm.orgยท1dยท
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๐ŸŒฑMinimal Languages
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A hitchhiker's guide to CUDA programming
seanzhang.meยท1dยท
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๐Ÿ”€SIMD Programming
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A portable picokernel for async I/O
ryansepassi.comยท5hยท
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๐Ÿค–Embedded Go
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Enhancing Workflow Efficiency via Dynamic Task Prioritization & Adaptive Resource Allocation
dev.toยท1dยท
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๐Ÿ“‹Task Queues
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Rethinking Networking for the AI/ML Era
lukew.comยท15h
๐Ÿ“‹Task Queues
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Challenging the Fastest OSS Workflow Engine
obeli.skยท1dยท
๐Ÿ“กErlang BEAM
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.comยท16h
โšกCache-Aware Algorithms
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The hidden technology that's supercharging AI and high-performance computing
xda-developers.comยท21h
๐Ÿ’พZig Allocators
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Minimal Sufficiency: A Principle โ€˜Similarโ€™ to End-to-End
cacm.acm.orgยท14hยท
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๐Ÿ“กProtocol Stacks
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How fast can an LLM go?
fergusfinn.comยท1dยท
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๐Ÿ—บ๏ธRegion Inference
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Weโ€™re back with episode 2 of 1 IDEA! Today, Vinay Perneti (VP of Eng @ Augment Code) shares his own Bottleneck Test
linkedin.comยท8hยท
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๐Ÿ“ŠProfiling Tools
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.comยท15hยท
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๐Ÿ”€SIMD Programming
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Technology Short Take 189
blog.scottlowe.orgยท19h
๐ŸฐCapability Machines
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Libevpl โ€“ event loop engine with unified abstractions for network and block I/O
github.comยท2dยท
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๐Ÿ“œBytecode
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A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
arxiv.orgยท1d
๐ŸŽชActor Frameworks
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Fungus: The Befunge CPU(2015)
bedroomlan.orgยท6hยท
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๐ŸŒณB+ Trees
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Getting Hardware for an "Always On" Server/Node
stacker.newsยท22h
๐ŸฐCapability Machines
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Implemented arc-lightning with Rust
reddit.comยท1dยท
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๐Ÿ”’Rust Borrowing
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Myths Programmers Believe about CPU Caches
software.rajivprab.comยท1dยท
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๐Ÿง Memory Models
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Microsoft C++ Team at CppCon 2025: Trip Report
devblogs.microsoft.comยท16h
๐Ÿ›Interactive Debuggers
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