AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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FitFloat is presented, a drop-in floating-point array replacement supporting user-specified precision on GPUs with the goal of reducing storage requirements of scientific applications while maximizing performance over Unified Memory.
Cortado is compared with state-of-the-art approaches and it is found that it is the only progressive compressor that guarantees the evaluated error bounds on all tested inputs while achieving the highest throughputs, comparable reconstruction quality, and on-par compression ratios.
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