Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...
In telecommunication applications, target impedance serves as a crucial benchmark for power distribution network (PDN) design. It ensures that the die operates within an acceptable level of rail ...
What if the key to unlocking the full potential of your AI-powered workflows lies not in adding more tools but in optimizing the ones you already have? For developers and teams using Claude Code, the ...
What if you could take an already powerful AI tool and make it exponentially more effective? Imagine streamlining your app development process so seamlessly that tasks once riddled with inefficiencies ...
This repository is supplementary to our paper, CompilerDream: Learning a Compiler World Model for General Code Optimization [Arxiv]. We provide the code of our experiments, along with the training ...
Abstract: The past few years, traditional compiler optimization methods have been found to be further enhanced by machine learning (ML), deep learning (DL) and reinforcement learning (RL). These ...
A new technical paper titled “Insights Into Design Optimization of Negative Capacitance Complementary-FET (CFET)” was published by researchers at National Yang Ming Chiao Tung University. “This work ...
Adam Binder is the Founder & Creative Director of Creative Click Media, a full-service digital marketing agency headquartered in New Jersey. No, I didn’t mean to say SEO. Generative engine ...
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