⚡ Low-Latency Systems - surajkadapa · Scour

The PREEMPT_RT Surprise: Why Isolation Alone Isn’t Enough for HFT 🌐XDP

lucisqr.substack.com

Kinetic pathways for joining metallurgically incompatible metals 📇Vector Indexing

·21h

SIX Group abandons attempt to restrict HFT access 🌐XDP

globaltrading.net·20h

Implementation of an LLM Agent in Go and Rust for Market Anomaly Analysis ♟️Chess Engines

github.com·3d·DEV

Sim-FA: A Simulator Frontend for Asynchronous Pipelines ⚡Hardware Acceleration

System design, distributed systems, and the layers underneath 📐Data-Oriented Design

toolkit.whysonil.dev·1d·Hacker News, r/compsci, r/programming, r/webdev

Your old GPU can still run big LLMs – you just need the right tweaks 📄Page Tables

xda-developers.com·1h

Surfacing a 60% performance bug in cuBLAS ⚡Hardware Acceleration

kernelspace.substack.com·21h·Substack

Fitting LLMs on Self-Hosted GPUs 🧠FPGA Memory

Hardware From Specifications Using AI 🔧HLS

semiengineering.com·4h

Performance Predictability in Heterogeneous Memory 🔁Cache Coherence

danglingpointers.substack.com·23h·Substack

Building resilient networks for AI supercomputers 🌐Distributed Systems

techcommunity.microsoft.com·17m

Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding 🎯Speculative Execution

developers.googleblog.com·1d·Hacker News, Hacker News, r/LocalLLaMA

KV Cache Locality: The Hidden Variable in Your LLM Serving Cost 📦CPU Caches

ranvier.systems·6d·Hacker News

Choosing the Right AI Abstraction Layer for modern AI systems ♟️Chess Engines

digitalocean.com·23h

Pinning a Local LLM to an RTX 5090: Five Hours, Several Faceplants, One Solid Setup 🖥️Hypervisors

buraak.com·4h·Hacker News

On benchmarking ⚡Performance

planetscale.com·1d·Hacker News

SPEC CPU2026: Characterization, Representativeness, and Cross-Suite Comparison 🔁Cache Coherence

Fourth Data Prefetching Championship: Part 2 ⏭️Prefetch Intrinsics

sigarch.org·6d

Replacing GPU Compute Dies With PNM-Enabled HBM Cubes For Long-Context Decode Attention (UCSD, Columbia, Yonsei U., NVIDIA, Samsung) 🧠FPGA Memory

semiengineering.com·15h

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