Vectorizing for Fun and Performance
ibm.com·2d·
Discuss: Hacker News
🔀SIMD Programming
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A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
Discuss: Hacker News
🔀SIMD Programming
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·10h
💬Smalltalk VMs
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The next RISC-V processor frontier: AI
edn.com·9h
🔧RISC-V
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Interfacing assembly with BASIC via DEFUSR, part 7
subethasoftware.com·1d
⚙️Assembly
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Opportunistically Parallel Lambda Calculus
dl.acm.org·22h·
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🌱Minimal Languages
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Leaked Intel Core Ultra X7 358H and Ultra 5 338H Cinebench R23 Scores Reveal Concerning CPU Performance
techpowerup.com·1d
🔮Speculative Execution
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Update; GUI in C
github.com·6h·
📝Rope Editors
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Smart Handling Of Reset Domain Crossings To Non-Resettable Flip-Flops
semiengineering.com·1d
🔢Bit Manipulation
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Torchforge – a PyTorch native library for scalable RL post-training
pytorch.org·1d·
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Gleam
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Well-Typed.Com: Case Study: Debugging a Haskell space leak
well-typed.com·20h
📚Stack Allocation
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The Era of CPU, GPU, TPU and LPU
dev.to·1d·
Discuss: DEV
🔧RISC-V
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Challenging the Fastest OSS Workflow Engine
obeli.sk·11h·
📡Erlang BEAM
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ESTIMED_hackathon1_SSSUP
hackster.io·1d
🌐Portable Assembly
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Performance evaluation of image convolution with gradient filters in OpenCL
milania.de·2d·
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🔄Loop Optimization
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How fast can an LLM go?
fergusfinn.com·1d·
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🗺️Region Inference
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.com·2h·
Discuss: Hacker News
🔀SIMD Programming
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Machine-learning predictive autoscaling for Flink
engineering.grab.com·1d
📡Erlang BEAM
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