HW/SW codesign techniques in parallel computing systems / Hassan Youness.
By: Youness, Hassan [author.].
Material type:
BookPublisher: Saarbrücken, Germany: : LAP Lambert Academic Publishing, 2012Description: xvii, 171 p. : ill. ; 21 cm. + pbk.ISBN: 9783659131257.Other title: Hardware/software co-design in homogeneous and heterogeneous parallel systems.Subject(s): Parallel processing (Electronic computers)
| Adaptive computing systems | Computer architectureDDC classification: 621.39 Summary: The hardware/software co-design is the meeting of system-level objectives by exploiting the trade-offs between hardware and software in a system through their concurrent design, and the components of the co-design problem are the specifications, the scheduling and hardware/software partitioning using parallel processing systems including Multiprocessor system-on-chip (MPSoCs). Parallel processing is a promising approach to meet the computational requirements or to enhance the efciency of solving emerging applications. However, it poses a number of problems which are not encountered in sequential processing including designing a parallel algorithm for the application, partitioning of the application into tasks, coordinating communication and synchronization, and scheduling of the tasks onto the machine.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 621.39 (Browse shelf(Opens below)) | 1 | Available | 00161092 |
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The hardware/software co-design is the meeting of system-level objectives by exploiting the trade-offs between hardware and software in a system through their concurrent design, and the components of the co-design problem are the specifications, the scheduling and hardware/software partitioning using parallel processing systems including Multiprocessor system-on-chip (MPSoCs). Parallel processing is a promising approach to meet the computational requirements or to enhance the efciency of solving emerging applications. However, it poses a number of problems which are not encountered in sequential processing including designing a parallel algorithm for the application, partitioning of the application into tasks, coordinating communication and synchronization, and scheduling of the tasks onto the machine.