Brent Yorgey: Competitive programming in Haskell: range queries, classified
byorgey.github.io·3d
λLambda Encodings
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·17h
🗃️Database Storage
Cost-Effective Optimization and Implementation of the CRT-Paillier Decryption Algorithm for Enhanced Performance
arxiv.org·1d
🔢Bitwise Algorithms
Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
arxiv.org·22h
📈Time Series
A Contention-Free Model for Converged Kubernetes on HPC
arxiv.org·1d
🏠Homelab Clusters
Programming, Not Prompting: A Hands-On Guide to DSPy
towardsdatascience.com·2d
🧮Z3 Solver
A Rubyist's guide to big-O notation
honeybadger.io·1d
🌳Trie Structures
Cellular Automata as Generators of Interleaving Sequences
arxiv.org·1d
🔲Cellular Automata
Machine Learning Fundamentals: active learning
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Memory Safety in Web Rust System Zero Cost Secure（1750885516953300）
dev.to·5h·
Discuss: DEV
🦀Rust Borrowing
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
The Internal Inconsistency of Large Language Models
blog.kortlepel.com·1d·
Discuss: Hacker News
💻Local LLMs
Flame Graph Performance Truth Analysis（1750839255230100）
dev.to·18h·
Discuss: DEV
⚡Performance Tools
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
arxiv.org·1d
🧮Prolog Parsing
Basic facts about GPUs
damek.github.io·3d·
Discuss: Lobsters, Hacker News, Hacker News, r/programming
🖥️Hardware Architecture
Python Fundamentals: asynchronous
dev.to·14h·
Discuss: DEV
🌊Stream Processing
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.org·1d
🧠Neural Codecs
Explaining software and computational methods
blog.khinsen.net·1d·
Discuss: Hacker News
📝Concrete Syntax
On the convergence of computational methods for the online bin stretching problem
arxiv.org·1d
🎯Performance Proofs
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·12h·
Discuss: DEV
🧠Machine Learning