📊 Performance Tools - hello · Scour

wireguard-go/PERF_REPORT.md at performance · blinkinglight/wireguard-go 📊Profiling Tools

github.com·2d·Hacker News

Stop benchmarking inference providers, a guide to easy evaluation 🚀Performance

huggingface.co·4h·r/LocalLLaMA

Benchmarking LLMs with Marimo Pair 🍱Nom

ericmjl.github.io·4d·Hacker News

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search 📊Profile-Guided Optimization

arxiv.org·14h

A faster way to pinpoint performance bottlenecks: Using Profiles Drilldown with Grafana Cloud Knowledge Graph 📉Grafana

grafana.com·23h

Running GLM-5.1 (744B) Locally on a Mac Studio: Benchmark Results 🦙Ollama

blog.zolty.systems·1d

Rust Async Secrets That Cut API Latency in Half 🌊Glommio

dev.to·4d·DEV

Model API Performance 🦙Ollama

news.ycombinator.com·8h·Hacker News

One Method Was Using 71% of CPU. Here's the Flame Graph. 📊Profiling Tools

jvogel.me·4d·Hacker News, r/java, r/programming

Gemma 4 vs Qwen3.5: benchmarking quantized local LLMs on Go coding 🚀Performance

msf.github.io·3d·r/LocalLLaMA

Kr1sso/xtrace-skill: xtrace — Command-line CPU Profiling for macOS as a skill. 📊Profiling Tools

github.com·1d·Lobsters, Hacker News

Profiling Java apps: breaking things to prove it works 📊Profiling Tools

dev.to·5d·DEV

LitXBench: A Benchmark for Extracting Experiments from Scientific Literature 📊Vectorized Query Execution

arxiv.org·4d

Coz: Causal profiling that measures optimization potential 📊Profiling Tools

github.com·5d·Hacker News

Apple Silicon LLM Inference Optimization: The Complete Guide to Maximum Performance 🧩mimalloc

dev.to·3d·DEV

Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets 📱Edge AI

arxiv.org·4d

MysticCodingCat/CUDA-Native-HUBO: A GPU-native solver for 3-way combinatorial optimization (HUBO). Achieving digital-annealer-level performance on a single RTX 3060 Ti 🔄Glommio vs Tokio

github.com·5d·Hacker News

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking ⚡Incremental Computation

arxiv.org·5d

Google Gemma 4: How a 31B Model Beats 600B+ Giants (Benchmarks + NVIDIA Co-Optimization) 🎮WebGPU

dev.to·6d·DEV

Benchmarking Requirement-to-Architecture Generation with Hybrid Evaluation ⚙️JIT Compilation

arxiv.org·5d

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