Machine Learning Fundamentals: dimensionality reduction
dev.to·19h·
Discuss: DEV
📐Linear Algebra
Caches and Abstractions
parallelprogrammer.substack.com·11h·
Discuss: Substack, r/programming
💨Cache Analysis
Python `apply()` vs. `apply_async()`: Which Should You Use?
thenewstack.io·17h
🌊Stream Processing
Computer Architecture: A quantitative approach
ikerexxe.github.io·3d
🖥️Hardware Architecture
maxsim-cpu: Maximising Maxsim Efficiency
mixedbread.com·2d·
Discuss: Hacker News
🌊Streaming Algorithms
A Wide Reduction Trick (2022)
words.filippo.io·7h·
Discuss: Lobsters, Hacker News
🌳Archive Merkle Trees
ZFS Summer Article Roundup: Smart Hardware Advice
klarasystems.com·17h
💿ZFS Internals
PCIE 5.0 x16 to x8x8 bifurcation
c-payne.com·30m·
Discuss: r/homelab
🖥️Terminal Renaissance
A Neural Net For a Graphing Calculator?
hackaday.com·2h
🤖Advanced OCR
Binary Search in a 2D Matrix
mmhaskell.com·3d
📐Error Bounds
Performance Hacks for Brady’s Algorithm
nickdrozd.github.io·2d
🎞️Tape Combinatorics
SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·6h
🗂️Vector Databases
How I Doubled My Lookup Performance with a Bitwise Trick
maltsev.space·1d
🔢Bitwise Algorithms
Understanding Registers and Data Movement in x86-64 Assembly
blog.codingconfessions.com·22h
🔧RISC-V Assembler
How to Optimize Your Python Code Even If You’re a Beginner
kdnuggets.com·2d
🌊Streaming Algorithms
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·20h
📊Vector Quantization
Parsing Protobuf Like Never Before
mcyoung.xyz·1d·
Discuss: Hacker News
🔧Binary Parsers
Got buyer's remorse with your 8GB graphics card? Nvidia's AI texture compression promises huge benefits for GPUs with stingy amounts of memory
techradar.com·15h
🖥️Terminal Renaissance
Turbocharged Storage: MinIO, KIOXIA, and AMD team up to take on AI
blog.min.io·12h
🧲RISC-V Preservation
[R] Interesting paper on cost-aware prompt optimization (CAPO)
reddit.com·1d·
Discuss: r/MachineLearning
🏗️Compiler Archaeology