0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography − Comparison between Single-Cycle and Multi-Cycle Architectures
Authors :
Ahmad Ahmadi
1
Reza Faghih Mirzaee
2
1- Dept. of Computer Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
2- Dept. of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
Keywords :
ASIP،Single-Cycle Processor،Crypto Processor،Cryptography،International Data Encryption Algorithm
Abstract :
A single-cycle processor completes the execution of an instruction in only one clock cycle, albeit with a relatively long clock period. In contrast, although clock frequency is higher in a multi-cycle processor, it takes several clock cycles to finish an instruction. A crucial question, serving educational objectives as well, pertains to the performance of each solution. This paper presents a new Instruction-Set Architecture (ISA) for International Data Encryption Algorithm (IDEA) cryptography. The new design is an Application Specific Instruction-set Processor (ASIP) that supports both general-purpose and specific instructions. It is a single-cycle MIPS-core architecture with an average Clock per Instruction (CPI) of 1. Also, a comparative analysis is presented in this paper, highlighting the differences between the new processor and a comparable multi-cycle crypto processor. The FPGA implementation results show that both architectures have almost the same encoding/decoding throughput. However, the previous processor consumes nearly twice as many resources as the new one.
Papers List
List of archived papers
Spatial-channel attention-based stochastic neighboring embedding pooling and long short term memory for lung nodules classification
AHMED SAIHOOD - HOSSEIN KARSHENAS - AHMADREZA NAGHSH NILCHI
Android Malware Detection using Supervised Deep Graph Representation Learning
Fatemeh Deldar - Mahdi Abadi - Mohammad Ebrahimifard
Intelligent Interpretation of Frequency Response Signatures to Diagnose Radial Deformation in Transformer Windings Using Artificial Neural Network
Reza Behkam - Hossein Karami - Mehdi Salay Naderi - Gevork B. Gharehpetian
A Review on Machine Learning Methods for Workload Prediction in Cloud Computing
Mohammad Yekta - Hadi Shahriar Shahhoseini
Experimental evaluation and comparison of anti-pattern detection tools by the gold standard
Somayeh Kalhor - Mohammad reza Keyvanpour - Afshin Salajegheh
An Effective Connectomics Approach for Diagnosing ADHD using Eyes-open Resting-state MEG
Nastaran Hamedi - Ali Khadem - Sajjad Vardast - Mehdi Delrobaei - Abbas Babajani-Feremi
Efficient Prediction of Cardiovascular Disease via Extra Tree Feature Selection
Mina Abroodi - Mohammad Reza Keyvanpour - Ghazaleh Kakavand Teimoory
Dynamic Knowledge Enhanced Neural Fashion Trend Forecasting with Quantile Loss
Fatemeh Rooholamini - Reza Azmi - Mobina Khademhossein - Maral Zarvani
Lempel-Ziv-based Hyper-Heuristic Solution for Longest Common Subsequence Problem
Mahdi Nasrollahi - Reza Shami Tanha - Mohsen Hooshmand
The application of Brain Drain Optimization algorithm on static drone placement problem
Mohammad Mehdi Samimi - Alireza Basiri
more
Samin Hamayesh - Version 41.3.1