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The NVIDIA CUDA Core Compute Libraries (CCCL) provides delightful and efficient abstractions for CUDA developers in C++ and Python. It features: Parallel algorithms – Host-launched algorithms including sort, scan and reduce that remove the need to write custom kernels for common operations  Cooperative algorithms – Device-side algorithms such as block-wide or warp-wide reductions or scans that si

What if hardware adapted itself to your code instead of forcing developers to optimize for the hardware? In this episode of AI with Sally, Sally Ward-Foxton speaks with NextSilicon CEO Elad Raz about the company’s radically different approach to compute architecture: a runtime-reconfigurable processor designed to optimize itself while applications are running.