Cpusim bit order update#
Cpusim bit order simulator#

sensitive removal of unwanted host sequences from NGS datasets. We developed RAMBO-K (Read Assignment Method Based On K-mers), a tool which allows rapid and. These reads increase the memory and CPU time usage of the assembler and can lead to misassemblies. The assembly of viral or endosymbiont genomes from Next Generation Sequencing (NGS) data is often hampered by the predominant abundance of reads originating from the host organism. Copyright © 2018 Institute of Advanced Engineering and Science. The overall development process used in this research is flexible enough for further investigation either by extending its module to more complex algorithms or evaluating other designs of its components. It was found that the ISA extension from 12-bit to 16-bit has produced a faster execution time with fewer resource utilization when implementing the bit-sorting algorithm. Extensive simulations were performed with the and a comprehensive methodology is proposed.

The modules' integration is implemented using instruction set architecture (ISA) extension technique and is developed on the Field Programmable Gate Array (FPGA). The purpose of this research is to combine the best feature of an 8-bit microcontroller architecture together with the computationally complex operations without incurring extra resources. However, there is clearly a lack of computational capability of the low-end architecture that will affect the pre-processing stage of the received data. Low-end families of microcontroller architecture are still in demand albeit less technologically advanced due to its better I/O better application and control. The microcontroller-based system is currently having a tremendous boost with the revelation of platforms such as the Internet of Things. We tested and allocated the appropriate synchronization time for our sample parallel system composed of one x86 server and three ARM clients. Therefore, nodes created on these simulators need synchronizations for harmonized system performance.

Cpusim bit order simulator#

NS3-cGEM5 simulator in this paper is formed by HLA-RTI federation integration of the two independent architecture and network simulators - NS3 and cGEM5. The simulator creates the parallel and heterogeneous system to be evaluated, and lets the user vary the synchronization time to optimize the booting time. This paper presents a simulator used to test and allocate appropriate synchronization time for distributed and parallel heterogeneous systems. Random allocation of synchronization time for parallel systems slows down not only the booting time of the system but also the execution time of each application involved in the system. Second, if we allocate a large amount of time, stall system created.

Cpusim bit order update#

First, if we have too little synchronization time, some tasks face the problem of harmonization, as they need appropriate time to update and synchronize with the system. Synchronization time affects the system in two ways.

Parallel computing system components should be harmonized, and this harmonization is kept existent using synchronization time. By using the custom instruction approach, the execution time of the Viterbi algorithm is significantly improved by approximately 3 times for DLX and PicoJava II, and by 2 times for NIOS II. In this paper, we propose to utilize the custom instruction approach to efficiently implement the widely used Viterbi decoding algorithm by adding the assembly language instructions to the ISA of DLX, PicoJava II and NIOS II processors, which represent RISC, stack and FPGA-based soft-core processor architectures, respectively. A cost-effective solution is to enhance the Instruction Set Architecture (ISA) of the processors by creating new custom instructions for the computational parts of the decoding algorithms. These decoding algorithms involve computationally complex operations requiring high performance computing hardware, which are generally expensive. In recent years, the decoding algorithms in communication networks are becoming increasingly complex aiming to achieve high reliability in correctly decoding received messages.