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Why is calling my asm function from Rust slower than calling it from C?
ohadravid.github.io·13h·
Discuss: Lobsters, Hacker News, r/rust
🔎Valgrind
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A guide to convolution arithmetic for deep learning
paperium.net·1d·
Discuss: DEV
🤖TVM
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🔥PyTorch
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🤖TVM
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This $7 Steam app boosts frame rates in your games, but is it better than Nvidia's DLSS 4? I put it to the test
tomsguide.com
·19h
🎮Handheld Gaming
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Introducing the XLab AI Security Guide
lesswrong.com·10h
🛡️AI Security
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Is the future of hardware just optimization?
reddit.com·14h·
Discuss: r/hardware
⚡Hardware Acceleration
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How to Train Ultralytics YOLOv8 models on Your Custom Dataset | 196 classes
reddit.com·10h·
Discuss: r/programming
🤖TVM
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How I Optimized FFmpeg Filters with Slice Threading (My First Contribution)
dev.to·2d·
Discuss: DEV
🎬WebCodecs
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Optimizing and Appropriately Using Terrain3D
v.redd.it·1d·
Discuss: r/godot
🎨Computer Graphics
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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Paper: University of Michigan hypermutator dynamics on wafer-scale agent simulations
armdevices.net·23h
⚡LMAX Disruptor
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Rendering the Mandelbrot Set on the C64
jamesphilbrick.bearblog.dev·1d
✨Gleam
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4 ways you can optimize your AM4 setup for gaming in 2026
xda-developers.com·15h
⚡Hardware Acceleration
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Attention Is All You Need 논문 리뷰: 셀프 어텐션과 자기회귀(Autoregressive)의 모든 것
fredly.dev·2d
🍱Nom
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Virtualization: Theory to Silicon
pooladkhay.com·14h·
Discuss: Hacker News
🔐Capability Systems
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Department of Computer Science and Technology – Technical reports: UCAM-CL-TR-949
cl.cam.ac.uk·6h·
Discuss: Hacker News
🏷️Memory Tagging
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Creating Sleigh Chase: A quick guide to accelerated Mega Drive development with AI
geese-bumps.itch.io·1d
🎨Creative Coding
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jart/jtckdint: C23 Checked Arithmetic
github.com·1d
🔬Valgrind Tools
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MemryX Unveils MX4 Roadmap: Enabling Distributed, Asynchronous Dataflow for Highly Efficient Data Center AI
prnewswire.com·1d
🧩mimalloc
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