Reconfigurable computing systems engineering: virtualization by Lev Kirischian

By Lev Kirischian

Reconfigurable Computing platforms Engineering: Virtualization of Computing Architecture describes the association of reconfigurable computing method (RCS) structure and discusses the professionals and cons of other RCS structure implementations. supplying an effective realizing of RCS expertise and the place it’s most desirable, this book:

  • Details the structure association of RCS systems for application-specific workloads
  • Covers the method of the architectural synthesis of elements for system-on-chip (SoC) for the RCS
  • Explores the virtualization of RCS structure from the method and on-chip levels
  • Presents methodologies for RCS structure run-time integration in accordance with mode of operation and fast variation to alterations of multi-parametric constraints
  • Includes illustrative examples, case reports, homework difficulties, and references to big literature

A options guide is accessible with qualifying direction adoption.

Reconfigurable Computing platforms Engineering: Virtualization of Computing Architecture bargains a whole highway map to the synthesis of RCS structure, exposing layout engineers, procedure architects, and scholars focusing on designing FPGA-based embedded structures to novel ideas in RCS structure association and virtualization.

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Extra info for Reconfigurable computing systems engineering: virtualization of computing architecture

Sample text

For most CSPPs, these are the stages of instruction processing [10]: Introduction to Reconfigurable Computing Systems 11 1. Instruction fetch (IF)—fetch the instruction word from the memory 2. Instruction decode (ID)—decode the instruction word to determine the operation code, location of operands, and location of result 3. Data fetch (DF)—fetch operands and store them in ALU registers 4. Execution of operation (EXE)—execute the operation 5. Store result (SR)—store the result in registers or memory Thus, one operation on data-elements requires several operations on control information encoded in the instruction word.

Nonetheless, the development of computing systems on the base of FPGAs and CPLDs still is based on the principles and methodologies of the design of application-specific integrated circuits (ASICs), where all functionalities of the system are directly implemented in the actual hardware and configured at start-up time. Therefore, to accelerate the utilization of principles of architecture virtualization for the development of high-performance and cost-efficient RCS, the course “Reconfigurable Computing Systems Engineering” was established and taught since 2008.

These applications may be associated with decryption of encrypted data-streams, parallel processing of data-streams received from the same sensor or set of sensors for different actuators, etc. 4. Multiple instructions and multiple data (MIMD) streams computer architecture organization where multiple processing elements (PEs) or complete processors with their own control units and memory modules are executing simultaneously different tasks or segments of the same task. This is the widest class of parallel computing system, ranging from multi-/many-core processors to distributed computing networks.

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