📊 Benchmarking - jinkai_lau · Scour

The Two Thread IDs of macOS: Measuring P/E Core Usage on Apple Silicon 🔬eBPF

bazhenov.me·6d

vnmoorthy/pavo-bench: A 50K-turn voice pipeline benchmark and an 85K-param meta-controller that cuts P95 latency 10.3% and energy 71% vs fixed cloud. TMLR 2026. 📊Observability

github.com·2d·Hacker News

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts ⚙️MLOps

Benchmarking a Bug Scanner ✅Dev Best Practices

blog.detail.dev·3h·Hacker News

[WIP] Benchmarking Local LLMs Against Coding Agent Harnesses 🤖AI Engineering

neuralnoise.com·2d·Hacker News

Discovering Hard Disk Physical Geometry Through Microbenchmarking (2019) 🔬eBPF

blog.stuffedcow.net·2h·Hacker News

Speeding up python through profiling 🔍Static Analysis

TurboQuant on a MacBook Pro, part 2: perplexity, KL divergence, and asymmetric K/V on M5 Max 🔬eBPF

llmkube.com·1d·r/LocalLLaMA

ASUS AEMP lets users optimize mixed JEDEC DDR5 memory kits without XMP on Intel Z890 and B860 boards 🔬eBPF

tweaktown.com·23h

Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it 🤖AI Engineering

venturebeat.com·2h

Getting Up to Speed on Multi-Agent Systems, Part 7: Benchmarks and What They Miss 🕸️Distributed Systems

christophermeiklejohn.com·11h

Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket 🌍Edge Computing

developers.googleblog.com·1d

Podcast: A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel ✅Dev Best Practices

Flow generation through natural language: An agentic modeling approach (11 minute read) 🤖AI Engineering

shopify.engineering·23h

Early tests show minimal performance impact from new budget HUDIMM DDR5 memory 🛠️Developer Experience

techspot.com·6h

Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks 🤖AI Engineering

odysseys-website.pages.dev·1d·Hacker News

A DPorts explanation 🌐Networking

dragonflydigest.com·3h

Scaling a Vespa Application: Feeding Fast and Furiously ⚙️MLOps

blog.vespa.ai·2d

RT by @awnihannun: Finally... then mlc benchmarking leaderboard is online: ⚙️MLOps

twitter.macworks.dev

·3d

Boosting speed: Use eBPF and netstacklat to troubleshoot latency 🔬eBPF

developers.redhat.com·1d

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