🔄 Glommio vs Tokio - hello · Scour

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 🚀Performance

github.com·5d·Hacker News

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding 📦Folly

arxiv.org·17h

Recent lld/ELF performance improvements ⚡BOLT

maskray.me·2d·Hacker News, r/cpp

Model API Performance 🦙Ollama

news.ycombinator.com·11h·Hacker News

Untangling Tokio and Rayon in production: From 2s latency spikes to 94ms flat 🦀Rayon

posthog.com·6d·Lobsters

Solution for a high performance data lake 🌀Naiad

beacon.maris.nl·4d

Parallel Tool Calling in LLM Agents - Complete Guide with Code Examples 📺Go Channels

dev.to·3d·DEV

Bonsai 8B: A 1-Bit LLM That Delivers 8B-Class Performance at 1/14th the Size 🌊Memory Bandwidth

firethering.com·6d·Hacker News

CUTEv2: Unified and Configurable Matrix Extension for Diverse CPU Architectures with Minimal Design Overhead ⚡Hardware Acceleration

arxiv.org·17h

The Hidden Value of CPU-Intensive Compression on Modern Hardware 🌊Memory Bandwidth

klarasystems.com·6d

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

github.com·2d·Hacker News

Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows ⏰Timely Dataflow

arxiv.org·17h

Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora 🤝Paxos

arxiv.org·1d·Hacker News

Threading vs Tasks vs Parallelism — The Complete .NET Concurrency Guide 🔄Concurrency

dev.to·3d·DEV

AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators ⚡Hardware Acceleration

arxiv.org·17h

Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions 🗄️Database Internals

arxiv.org·17h

naresh-cn2/Axiom-Turbo-IO: High-performance C-engine for parallel data processing. Parses 10M rows in 0.08s using multithreaded mmap. 🌀Naiad

github.com·3d·DEV

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

dev.to·3d·DEV

Analyzing Persistent Alltoallv RMA Implementations for High-Performance MPI Communication ⚡RDMA

arxiv.org·6d

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC 🦙Ollama

arxiv.org·4d

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