💾 Cache Algorithms - abnv · Scour

DRAMPyML: A Formal Description of DRAM Protocols with Timed Petri Nets

arxiv.org·9h

🧠Memory Models

Area-Efficient In-Memory Computing for Mixture-of-Experts via Multiplexing and Caching

arxiv.org·9h

🗺️Region Inference

AI Inference Needs A Mix-And-Match Memory Strategy

semiengineering.com·6h

🗺️Region Inference

Proximity-driven acceleration of challenging solid-phase peptide couplings

pnas.org·1d

🔀SIMD Programming

Content-Addressed Memoization for Durable Execution

dev.to·21h·

Discuss: DEV

Intel "Nova Lake" Compute Tile Die-sizes Surface

techpowerup.com·1d

📱Bytecode Design

Show HN: Solving Sudoku reasoning via Energy Geometric models

davisgeometric.com·5h·

Discuss: Hacker News

🧩Constraint Solvers

RCBldEng - a computationally efficient RC network modeling method and engine for multizone building simulation

sciencedirect.com·1d

🌪️V8 TurboFan

Performance Tip of the Week #83: Reducing memory indirections

abseil.io·4d

📦Compact Data

Get 32GB of Kingston Fury Beast DDR5-6000 RAM for $170 when you also purchase the Ryzen 7 9850X3D processor in this Newegg combo deal

tomshardware.com

·2h

📏Linear Memory

LLM Performance in Astro, React, Tailwind and Cloudflare

10xbench.ai·1d·

Discuss: Hacker News

Isochronous Fixed-Weight Sampling in Hardware

eprint.iacr.org·2d

📏Linear Scanning

Building an x86 "Motherboard" and Running MS-DOS on It (ikejima.org)

blog.ikejima.org·4h

🤖Embedded Go

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

infoworld.com·4h

🪜Recursive Descent

Show HN: Latent-k – Persistent dependency map to reduce AI coding token usage

latentk.org·1d·

Discuss: Hacker News

🗺️Region Inference

[News] SK hynix Unveils AI Chip Architecture with HBF, Reportedly Boosts Performance per Watt by Up to 2.69×

trendforce.com·12h·

Discuss: r/hardware

📦Compact Data

AI agent sandboxing in 2026: how to choose between primitives, runtimes, and platforms

manveerc.substack.com·19h·

Discuss: Substack

🛡️Capability VMs

Scheduling in a changing world: Maximizing throughput with time-varying capacity

research.google·1d

⏲️Embedded GC

A Local Code Copilot for Edits: Why sweep-next-edit-1.5B Is Built for Speed

hackernoon.com·1d

⚡Interpreter Optimization

ShareChat hit a billion features per second, then it had to make it 10x cheaper

thenewstack.io·32m

📮Message Queues

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