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SIGCSE TS 2026 - Saturday Keynote: "CS and SE Education, post-AI" by Titus Winters (Adobe)
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MultiGPU + NCCL from the authors
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tpu
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Lecture 36: CUTLASS and Flash Attention 3
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Demystifying NCCL An In depth Analysis of GPU Communication Protocols and Algorithms - Zhiyi Hu
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I Benchmarked vLLM vs SGLang So You Don't Have To Shocking Results!
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What is CUDA? - Computerphile
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Lecture 16: On Hands Profiling
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Learn RDMA Programming: NVIDIA’s Guide to High-Performance Networking
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Lecture 67: NCCL and NVSHMEM
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Scaling RoCE Networks for AI Training | Adi Gangidi
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Lecture 8: CUDA Performance Checklist
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Understanding the LLM Inference Workload - Mark Moyou, NVIDIA
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A friendly introduction to distributed training (ML Tech Talks)
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains
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Lecture 14: Practitioners Guide to Triton
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Distributed Training with PyTorch: complete tutorial with cloud infrastructure and code
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Lecture 23: Tensor Cores
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