Vectorizing for Fun and Performance
ibm.com·2d·
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💪ARM Architecture
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A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
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Hardware Acceleration
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Building a Rules Engine from First Principles
towardsdatascience.com·1d
λFunctional Programming
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·19h
📱Edge AI
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Advanced 3D IC Heterogeneous Integration Analysis via Bayesian Optimization and AI-Driven Defect Mapping
dev.to·12h·
Discuss: DEV
Hardware Acceleration
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Opportunistically Parallel Lambda Calculus
dl.acm.org·1d·
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🔍Query Compilers
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Fungus: The Befunge CPU(2015)
bedroomlan.org·3h·
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🍄Mycelium Networks
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·13h
🏗️AI Infrastructure
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MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons
semiengineering.com·12h
🏗️AI Infrastructure
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Performance evaluation of image convolution with gradient filters in OpenCL
milania.de·2d·
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🔍eBPF
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How We Train Models at Clado
blog.ericmao.com·2d
🧠AI
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Rdza – Rust Programming, in Polish
github.com·19h·
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🦋Tauri
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How fast can an LLM go?
fergusfinn.com·1d·
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🏗️AI Infrastructure
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.com·12h·
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🏗️AI Infrastructure
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How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.
honeycomb.io·1d·
☁️Serverless Rust
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From Lossy to Lossless Reasoning
manidoraisamy.com·11h·
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📱Edge AI
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Challenging the Fastest OSS Workflow Engine
obeli.sk·20h·
Tokio
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Myths Programmers Believe about CPU Caches
software.rajivprab.com·1d·
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🔌Embedded Rust
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Show HN: Fast-posit, sw implementation of posit arithmetic in Rust
github.com·1d·
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🔌Embedded Rust
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