This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular linear systems (SpTRSV). The authors describe optimizations for the entire stack, targeting applications, compilation, hardware architecture and silicon implementation, resulting in orders of magnitude higher performance and energy-efficiency compared to the existing state-of-the-art solutions. Thus, this book provides important building blocks for the upcoming generation of edge AI platforms.
“Courage comes from the heart and not from being physically strong.” "Courage is the ability to do something that frightens one." The saffron-clad warriors who preferred death to dishonour. The two Pathans who took on the might of Shah Jahan for the sake of a Rajput. The one-armed leader who defeated the British in 1858. Indian Tales of Valour tells young readers about courage against all odds – when Indians stood up to defend what they believed in. These are stories of real people. Taken from different periods of history. From the legendary Haldighati to the Brahmaputra to Loos in France, relive the heroism and courage of these amazing people. Some remembered. Some forgotten. But all inspiring. For courage has no religion, no language. It is about feeling. And inspiring.
Unlock the secrets to entrepreneurial success with "What Not To Do" – your essential guide to navigating the complex world of business. This book is not just a collection of advice; it's a treasure trove of real-life experiences, distilled into powerful lessons by someone who's walked the path. Why should you read this book? Because it offers something invaluable: wisdom born from mistakes and triumphs alike. Each chapter unveils critical dos and don'ts in business, drawn from authentic scenarios. It's like having a mentor who shares not only what to strive for but also what pitfalls to avoid. With S.M.A.R.T. Goal Worksheets, the book ensures a hands-on approach, making it more than just a read—it's a transformative experience. From maintaining integrity to effect of ego on your decision-making, and balancing ambition with humility, "What Not To Do" covers it all. It's designed for aspiring entrepreneurs, seasoned business owners, and anyone in between who seeks to refine their entrepreneurial journey. By embracing the insights within these pages, you equip yourself to make smarter decisions, foster stronger relationships, and build a more successful professional life. Dive into "What Not To Do" and transform your entrepreneurial dreams into reality, one chapter at a time. It’s your key to unlocking a world of possibilities!
“A lucid, insightful and at times provocative look at brands and marketing over the years . Simple, well written and immensely readable, this is a must read for all observers, students and practitioners of marketing.” Bharat Puri, Managing Director, Pidilite Industries. “Nimish was always a diligent and thoughtful student in my Strategic Marketing class at Jamnalal Bajaj. Am delighted that he has chosen to share contemporary insights and perspectives on marketing from his two decade long career. Am sure this will be relevant for both practitioners and students of marketing and business.” Tarun Gupta, Faculty at Jamnalal Bajaj, Consultant & Marketing Veteran • From a marketing professional, practitioner and observer, this compendium will be useful for all students of marketing and practitioners.• Filled with concepts explained through real examples and cases, the book focuses on insights, interesting concepts and informative observations.• Covers a vast spectrum of marketing subjects from branding concepts to unique media strategies to segmentation tothe power of measurement and metrics.
This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular linear systems (SpTRSV). The authors describe optimizations for the entire stack, targeting applications, compilation, hardware architecture and silicon implementation, resulting in orders of magnitude higher performance and energy-efficiency compared to the existing state-of-the-art solutions. Thus, this book provides important building blocks for the upcoming generation of edge AI platforms.
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