⏩ SIMD - hello · Scour

Deep Dive: How StarRocks Built a High-Performance Vectorized Engine

starrocks.io·3d

🔀SIMD Programming

Hardware footprint benchmarks for an offline maps/routing/geocoding stack

corviont.com·3h·

Discuss: Hacker News

🚀Performance

Exposing More Parallelism Is the Hidden Reason Why Some Vectorized Loops Are Faster - Not Vectorization per se

johnnysswlab.com·1d·

Discuss: Hacker News

🔀SIMD Programming

Simulating the IBM 360/50 mainframe from its microcode

righto.com·13h

🔀SIMD Programming

26. C# (Loop Performance)

dev.to·1d·

Discuss: DEV

🔄Concurrency

What makes a game tick? Part 9 - Data Driven Multi-Threading Scheduler

mropert.github.io·22h·

Discuss: r/cpp

🧵Lightweight Threads

Geekbench: Tensor G6

browser.geekbench.com·1d·

Discuss: r/Android

🚀Performance

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators

arxiv.org·1d

🧮Vector Databases

The RISC Concept - A Survey of Implementations

inf.fu-berlin.de·13h

🏗Computer Architecture

Scaling ML Inference on Databricks: Liquid or Partitioned? Salted or Not?

towardsdatascience.com·4h

📊Vectorized Query Execution

AMD Ryzen 7 9850X3D vs Intel Core i9-14900K faceoff — Intel’s Raptor Lake platform continues to be relevant in 2026

tomshardware.com

·5h

💻CPU Architecture

DeepSeek updated its low-level operator library DeepGEMM, basically confirming the implementation of mHC and next-generation hardware support in V4

github.com·18h·

Discuss: r/LocalLLaMA

nskm.xyz·2d

🧮Vector Databases

Metrics for spin-based computing

nature.com·1d

⚡Hardware Acceleration

Full Transformer Block — Deep Dive + Problem: List Operations

dev.to·3h·

Discuss: DEV

🌳Pratt Parsing

Can One Chip Contort Itself to Accelerate All Applications?

spectrum.ieee.org·1d·

Discuss: r/technews

⚡Hardware Acceleration

CUDA From First Principles Part 2

pub.towardsai.net

·1d

🎮SIMT Execution

μpack: Faster & more flexible integer compression

blog.cf8.gg·1d·

Discuss: r/programming, r/rust

📏Run-Length Encoding

Researchers double AI training speeds by taming long-tail inefficiencies in processor utilization

notebookcheck.net·21h

💬Prompt Engineering

Introduction to Data-Centric Query Compilation

duckul.us·2d·

Discuss: r/compsci

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