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Optimising Cylindrical Algebraic Coverings for use in SMT by Solving a Set Covering Problem with Reasons
arxiv.org·2h
🧮SMT Solvers
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FlashAttention 4: Faster, Memory-Efficient Attention for LLMs
digitalocean.com·19h
🔄Hardware Transactional Memory
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Scalable Adaptive Memory Compiler Optimization via Multi-Objective Evolutionary Algorithms
dev.to·1d·
Discuss: DEV
🧩mimalloc
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SHADOW: Simultaneous Multi-Threading Architecture with Asymmetric Threads
danglingpointers.substack.com·1d·
Discuss: Substack
🧵Lightweight Threads
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Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
arxiv.org·1d
🌳Instruction Selection
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Making an LSP for great good
thunderseethe.dev·1d·
Diesel
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Taking the axe to AI
newelectronics.co.uk·19h
📱Edge AI
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Nonuniversality from conserved superoperators in unitary circuits
link.aps.org·23h
⚛️Quantum Computing
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One ISA, Infinite Use Cases: RISC-V and the Road to Workload-Specific Silicon
riscv.org·11h
RISC-V
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Streamlining CUB with a Single-Call API
developer.nvidia.com·9h
🧩mimalloc
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Eight Principal Metrics to Consider in Timing Design
highfrequencyelectronics.com·1d
⏱️Monotonic Clocks
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Why AI Needs GPUs and TPUs: The Hardware Behind LLMs
blog.bytebytego.com·2d
Hardware Acceleration
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Power-Efficient Processor Leverages Novel Dataflow Architecture
electronicdesign.com·2d·
Discuss: r/embedded
Hardware Acceleration
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Addressing Critical Tradeoffs In NPU Design
semiengineering.com·23h
🏗️System Design
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Simulating Pots with LTSpice
hackaday.com·4h
🎲Deterministic Simulation
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Scheme implementation as O’Reilly book via Claude Code
ezzeriesa.notion.site·1d·
Discuss: Hacker News
🦀Rust Macros
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A Quest to Find the Fastest Search Stack
dev.to·17h·
Discuss: DEV
🗄️Database Internals
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What von Neumann understood about the architecture of intelligence before we built AI
avikde.me·11h
⚛️Quantum Computing
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Gated DeltaNet: The “Surgical Eraser” Solving Linear Attention’s Memory Problem
pub.towardsai.net·1d
📱Edge AI
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Field Notes on Scaling MoE Expert Parallelism with DeepEP
nousresearch.com·1d·
🚀Intel ISPC
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