Hyoukjun Kwon (6 results)
Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)
Krishna, Tushar; Kwon, Hyoukjun; Parashar, Angshuman; Pellauer, Michael; Samajdar, Ananda
Language: English
Published by Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In English.
Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)
Krishna, Tushar; Kwon, Hyoukjun; Parashar, Angshuman; Pellauer, Michael; Samajdar, Ananda
Language: English
Published by Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 94.98
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neu…ral Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of computations; this necessitates extensive data movement from memory to on-chip processing engines. It is well known that the cost of data movement today surpasses the cost of the actual computation; therefore, DNN accelerators require careful orchestration of data across on-chip compute, network, and memory elements to minimize the number of accesses to external DRAM. The book covers DNN dataflows, data reuse, buffer hierarchies, networks-on-chip, and automated design-space exploration. It concludes with data orchestration challenges with compressed and sparse DNNs and future trends. The target audience is students, engineers, and researchers interested in designing high-performance and low-energy accelerators for DNN inference.
Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)
Krishna, Tushar; Kwon, Hyoukjun; Parashar, Angshuman; Pellauer, Michael; Samajdar, Ananda
Language: English
Published by Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 94.11
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Condition: New. Print on Demand.
Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)
Krishna, Tushar; Kwon, Hyoukjun; Parashar, Angshuman; Pellauer, Michael; Samajdar, Ananda
Language: English
Published by Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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US$ 103.92
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Condition: New. PRINT ON DEMAND.
Data Orchestration in Deep Learning Accelerators
Krishna, Tushar|Kwon, Hyoukjun|Parashar, Angshuman|Pellauer, Michael|Samajdar, Ananda
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2020
Series: Book 6 of 7 - Synthesis Lectures on Computer Architecture
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 66.72
US$ 56.90 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore s Law, coupled with the increasing growth in deep learning and other AI applications has led to t…he emergence of custom Deep Neural Netwo.
