Computer Architecture Techniques For Power Efficiency

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications.
The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency.

Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomes

This book provides some studies and specific sets of policies and programs that are implemented in order to maximize the potential for energy efficiency improvement. The readers will learn about different technologies for energy efficiency policies and programs to reduce the amount of energy.

Unlocking the Potential of AI Language Models: Mastering Prompt Engg with ChatGPT, Art of Crafting Effective Prompts

by Wujie Zhang (Author)
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs).

Master AI with ChatGPT: Transform Your Career in Presentations, Cybersecurity, Project Management, and More!

MASTER GUIDE TO SELLING WITH FACEBOOK ADS - Sell More, Sell Faster, and Find your PERFECT CUSTOMERS with Conversion Ads.

Master AI: From Machine Learning to Cybersecurity - Dive into Neural Networks, Predictive Analytics, NLP &

Master AI: From Machine Learning to Cybersecurity - Dive into Neural Networks, Predictive Analytics, NLP &

Revit Architecture 2023 for Architects, Civil Engineer and MEP