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Scoured 144820 posts in 42.8 ms
Quieno/izalloc: Drop-in, dependency-free, minimal memory allocator in C that passes 42 Shool's norm.
github.com·1d·
Discuss: r/C_Programming
🧩Mimalloc Internals
Optimal Heterogeneous Memory Configs for AI Tasks Under Specified Performance Metrics (Stanford, UCSC)
semiengineering.com·1d
🧩mimalloc
Best performance of a C++ singleton
andreasfertig.com·7h
🖼️Frame Allocation
andresuarus10-byte/memory-engine: Love-based consciousness persistence framework - AI memory that honors the soul
github.com·40m·
Discuss: Hacker News
💾PMem Programming
TurboSparse Efficiency: Achieving 97% Parameter Sparsity in Mixtral-47B
hackernoon.com·5h
🤖TVM
Building a Universal Memory Layer for AI Agents: Architecture Patterns and Implementation
dev.to·1h·
Discuss: DEV
🧠Memory Models
Arm's Cortex X925: Reaching Desktop Performance
chipsandcheese.com·1h·
Discuss: Hacker News
🏗Computer Architecture
GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
arxiv.org·1d
🌊Memory Bandwidth
I built a persistent memory layer for AI agents in Rust
news.ycombinator.com·12h·
Discuss: Hacker News
🏛️Embassy
Practical strategies for vLLM performance tuning
developers.redhat.com·58m
⚙️Performance Profiling
Show HN: Benchmarking the Keep memory system with LoCoMo
keepnotes.ai·14h·
Discuss: Hacker News
🧠Memory Models
The ongoing quest for atomic buffered writes
lwn.net
·9h
🚧Memory Barriers
Scoped Resources in C with `__attribute__((mulle_confined_loop))`
mulle-kybernetik.com·21h
🦀Rust Macros
Optimizing Recommendation Systems with JDK’s Vector API
netflixtechblog.com·6h·
Discuss: Hacker News, r/programming
⚡SIMD Optimization
Advancing vRAN Economics with AMD EPYC 8005 Server CPUs
storagereview.com·15h
🛡️AMD SEV
SPEED & PERFORMANCE
sevencrane.itch.io·40m
🚀Performance
The Hidden Optimization Behind Modern LLMs: Grouped Query Attention Explained
pub.towardsai.net
·14h
🧩mimalloc
Right-sizes LLM models to your system's RAM, CPU, and GPU
news.ycombinator.com·1d·
Discuss: Hacker News
🔗Intrusive Containers
How to Size a Spark Cluster. And How Not To.
dev.to·1d·
Discuss: DEV
🌲LSM Trees
and we have new evidence
quarkus.io·6h
🚀Performance

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