Advances in computers 2022/ edited by Ali R. Hurson
Material type:
TextPublication details: London: Academic Press, 2022Description: v.126 (x, 245p.)ISBN: 9780323988551Subject(s): Computer ScienceDDC classification: 004
Contents:
1. VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips
2. Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation
3. Embracing the Laws of Physics: Three Reversible Models of Computation
4. WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects
5. Energy efficient implementation of tensor operations using dataflow paradigm for machine learning
6. A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Reference Books
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Central Library, Sikkim University Reference | Reference Collection | 004 HUR/A (Browse shelf(Opens below)) | Not For Loan | 051430 |
Total holds: 0
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| 004 HUR/A Advances in computers 2020/ | 004 HUR/A Advances in computers 2020/ | 004 HUR/A Advances in computers 2021/ | 004 HUR/A Advances in computers 2022/ | 004 HUR/A Advances in Computers Power-Efficient Network-on-Chips: Design and Evaluation 2022 | 004 HUR/A Advances in Computers: Vol.130 | 004 HUR/A Advances in Computers. Vol.131 |
1. VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips
2. Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation
3. Embracing the Laws of Physics: Three Reversible Models of Computation
4. WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects
5. Energy efficient implementation of tensor operations using dataflow paradigm for machine learning
6. A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators
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