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- W2279572996 abstract "Application demands for intensive data processing are surpassing the conventional processor’s resources, propelling the use of coprocessors for accelerating the execution of specific applications. These systems bring a new challenge: Hardware/Software partition, which divides the application execution in two, in order to take profit of the hardware potential. The biggest advantage comes from the possibility of migrating the computational intensive parts, called kernels or critical sections to hardware. This work consists on the developing of a application to detect multi-path based patterns in a program execution. The theme focuses on Hardware/Software partition at the binary level to take advantage of its portability, also called Dynamic Partition. The work developed continues a system that implements a transparent dynamic partition divided into four phases: Detection, Identification, Translation and Replacement. The main goal of this project is to improve the detection phase of the previous work, proposing a new structure to represent the critical sections of a program, called Multipath Execution Block. This work exploits the system previously implemented which extracts single-path loops from a program trace, called the Megablocks. It is shown the Megablock profiling process and the changes to extend the representation from a single-path approach to one that can recognize multipaths. The application developed takes advantage of a Instruction Set Simulator, called OVPsim, which models a Xilinx Microblaze processor. The implementation in C++ of the application is discussed and compared the results obtained with the Megablock detection application." @default.
- W2279572996 created "2016-06-24" @default.
- W2279572996 creator A5066403376 @default.
- W2279572996 date "2015-10-23" @default.
- W2279572996 modified "2023-09-27" @default.
- W2279572996 title "Simulation-Based Aplication Profiling and Multi-Path Trace Detection" @default.
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