shah nimish (13 Ergebnisse)

hardcover. Zustand: Very Good.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -The application of the microporous hollow fiber membrane contactor for gas absorption and stripping has gained considerable attention recently and is still a relatively new concept. In comparison with most membrane separation processes which use a dense selective layer on one side of the fibers, the microporous membrane used in the membrane contactor is not selective. Instead of the selective layer, a liquid flow is introduced in one side of the fiber that can absorb gas components physically or chemically. This leads to a higher mass transfer rate due to lower membrane resistance. Additionally, because there is no selective layer, a very small pressure drop across the membrane is required for mass exchange. Compared to the traditional columns membrane contactor has several advantages. Although the membrane wall introduces an additional resistance that does not exist in conventional towers, a higher specific surface area in these type of modules offers much higher mass transfer rates. These advantages have led to a number of investigations on the use of membrane contactors for gas absorption and stripping. Here we have studied its application for removing pollution from industrialBooks on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Taschenbuch. Zustand: Neu. Gas Liquid Hollow Fiber Membrane Contactor | Role As Pollutant Remover From Industrial Off Gases | Nimish Shah | Taschenbuch | Paperback | 96 S. | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659245367 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. Efficient Execution of Irregular Dataflow Graphs | Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra | Nimish Shah (u. a.) | Taschenbuch | xxi | Englisch | 2024 | Springer | EAN 9783031331381 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Polymers in Modified Drug Delivery Systems | Nimish Shah (u. a.) | Taschenbuch | 196 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659392344 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Hardcover. Zustand: Brand New. 164 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.