GTA -- An ATSP Method: Shifting the Bottleneck from Algorithm to RAM
arxiv.org·19h
🚀SIMD Text Processing
Nvmath-Python: Nvidia Math Libraries for the Python Ecosystem
github.com·55m·
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🚀SIMD Parsing
Vectorization in Python for Machine Learning
dev.to·2d·
Discuss: DEV
⚡SIMD Vectorization
Generic functional parallel algorithms: scan and FFT (2017)
dl.acm.org·11h·
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🔗Functional Compilers
A Hands-On Introduction to cuML for GPU-Accelerated Machine Learning Workflows
machinelearningmastery.com·11h
🌊Streaming Algorithms
Combating headcrabs in the Source SDK codebase
gamedev.net·5h·
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🦀Rust Macros
Disentangling the Dual Role of NIC Receive Rings
usenix.org·4h·
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⚙️Operating System Design
StringWa.rs on GPUs: Databases & Bioinformatics 🦠
ashvardanian.com·3d·
Discuss: Hacker News, Hacker News, r/programming
🔄Burrows-Wheeler
Simulating a Machine from the 80s
rmazur.io·3h·
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🖥️Vintage Macintosh
Can a Data Race Happen on a Single-Core Machine?
aoli.al·7h·
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⚡Cache Coherence
Optimality Conditions for Multivariate Chebyshev Approximation: A Survey
arxiv.org·19h
🧮Kolmogorov Bounds
The future of microoptimization
goldenstack.net·5d·
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🧮Compute Optimization
I wrote a guide on Go slices (len/cap, append growth, slicing pitfalls, and copy for leak-free code)
reddit.com·8h·
Discuss: r/golang
🦀Rust Macros
Learning languages with the help of algorithms
johndcook.com·1d·
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🧮Kolmogorov Complexity
Enhanced Flow Control via Adaptive Vortex Generator Placement using Bayesian Optimization
dev.to·5h·
Discuss: DEV
⚙️Tape Engineering
Show HN: XSched, a scheduling framework for multitasking over diverse XPUs
github.com·20h·
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🔩Systems Programming
Faster, more memory-efficient performance in Grafana Mimir
grafana.com·17h·
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🗄️Database Internals
Rounding Randomly – Reasonably Right?
vinayuck.com·1d·
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📐Error Bounds
Optimizing ClickHouse for Intel's 280 core processors
clickhouse.com·1d·
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💨Cache Analysis
Always Bump Downwards
fitzgen.com·1d·
Discuss: Hacker News
🧠Memory Allocators