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Sibin
@sibin.bsky.social
Systems+Security faculty @GWTweets CS. Resiliency, OS, Networks, CPS, Real-Time. Photography. #AnnotatedEquations. He/him. Opinions/RTs personal.
36 followers115 following15 posts
Ssibin.bsky.social

Oh god, we’re about to see a spate of “#security” papers that hack this platform aren’t we? 🤦🏽‍♂️ Link to article: queue.acm.org/detail.cfm?i... #nvidia #gpu #confidential

September 7, 2023 Creating the First Confidential GPUs The team at NVIDIA brings confidentiality and integrity to user code and data for accelerated computing. Gobikrishna Dhanuskodi, Sudeshna Guha, Vidhya Krishnan, Aruna Manjunatha, Rob Nertney, Michael O'Connor, and Phil Rogers Today’s datacenter GPU has a long and storied 3D graphics heritage. In the 1990s, graphics chips for PCs and consoles had fixed pipelines for geometry, rasterization, and pixels using integer and fixed-point arithmetic. In 1999, NVIDIA invented the modern GPU, which put a set of programmable cores at the heart of the chip, enabling rich 3D scene generation with great efficiency. It did not take long for developers and researchers to realize “I could run compute on those parallel cores, and it would be blazing fast.” In 2004, Ian Buck created Brook at Stanford, the first compute library for GPUs, and in 2006, NVIDIA created CUDA, which is the gold standard for accelerated computing on GPUs today.
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Sibin
@sibin.bsky.social
Systems+Security faculty @GWTweets CS. Resiliency, OS, Networks, CPS, Real-Time. Photography. #AnnotatedEquations. He/him. Opinions/RTs personal.
36 followers115 following15 posts
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