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High-performance GPU programming has traditionally forced a compromise between execution efficiency and memory safety. While Rust guarant...
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GPU code can now use Rust’s portable SIMD. We share the implementation approach and what this unlocks for GPU programming.
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This Year's Trending
A paper presented at SOSP 2025 details how token-level scheduling helped one GPU serve multiple LLMs, reducing demand from 1,192 to 213 H...
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TLDR: We’re releasing a throughput-optimized megakernel for tensor-parallel inference with Llama-70B on H100s. Our kernel can aggressivel...
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Learn how Galileo boosted GPU utilization by 40% and cut tail latency by 70% using Redis and Lua for client-side, load-aware GPU balancin...
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GPU code can now use Rust’s standard library. We share the implementation approach and what this unlocks for GPU programming.
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Datalog primer and a neat data structure
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How I enabled the PowerVR GPU on the TH1520 SoC by writing the missing kernel drivers.
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In 2024 I quit my FAANG job to become an independent researcher. To do this I needed GPUs, so I built “grumbl”, a 6x 6000 Ada GPU server....
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: An anomaly or the beginning of a new trend? My bet’s on the latter
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We trained an MLP that predicts 58 body shape parameters from 8 questionnaire inputs. The trick: a differentiable physics loss. Mass accu...
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