List of Articles High performance computing

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Network RAM Based Process Migration for HPC Clusters
  Hamid Sharifian msharifi msharifi
  10.7508/jist.2013.01.006
  Process migration is critical to dynamic balancing of workloads on cluster nodes in any high performance computing cluster to achieve high overall throughput and performance. Most existing process migration mechanisms are however unsuccessful in achieving this goal pr More

  Process migration is critical to dynamic balancing of workloads on cluster nodes in any high performance computing cluster to achieve high overall throughput and performance. Most existing process migration mechanisms are however unsuccessful in achieving this goal proper because they either allow once-only migration of processes or have complex implementations of address space transfer that degrade process migration performance. We propose a new process migration mechanism for HPC clusters that allows multiple migrations of each process by using the network RAM feature of clusters to transfer the address spaces of processes upon their multiple migrations. We show experimentally that the superiority of our proposed mechanism in attaining higher performance compared to existing comparable mechanisms is due to effective management of residual data dependencies. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - High Performance Computing Nessecities Requirements of future generations and research directions
  ehsan arianyan MohammadMahdi Esnaashari Fatemeh Ehsani Boshla Shaghayeghsadat Hossieni bayan Masoud Dehyadegari Behnam Samadi
  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth scien More

  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth sciences, cosmology, fluid dynamics, and plasma modeling, to name a few. Next generation of supercomputers can be divided into two broad categories: 1) emerging technologies such as neuromorphic and quantum computing and 2) Exascala computing. Emerging technologies will be the future of supercomputing, however, not in a very recent future. Therefore, in this paper, we have focused on Exascale computing, and have tried to provide a comprehensive overview of the main requirements for this technology to be achieved and become available. Requirements have been overviewed from different aspects; hardware, software, artificial intelligence, and cloud computing. In addition, we have attempted to provide a complete taxonomy of hot research topics within this area. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - High Performance Computing via Improvement of Random Forest Algorithm Using Compression and Parallelization Techniques
  Naeimeh Mohammad Karimi Mohammad Ghasemzadeh Mahdi  Yazdian Dehkordi Amin Nezarat
  This research seeks to promote one of the widely being used algorithms in machine learning, known as the random forest algorithm. For this purpose, we use compression and parallelization techniques. The main challenge we address in this research is about application of More

  This research seeks to promote one of the widely being used algorithms in machine learning, known as the random forest algorithm. For this purpose, we use compression and parallelization techniques. The main challenge we address in this research is about application of the random forest algorithm in processing and analyzing big data. In such cases, this algorithm does not show the usual and required performance, due to the needed large number of memory access. This research demonstrates how we can achieve the desired goal by using an innovative compression method, along with parallelization techniques. In this regard, the same components of the trees in the random forest are combined and shared. Also, a vectorization-based parallelization approach, along with a shared-memory-based parallelization method, are used in the processing phase. In order to evaluate its performance, we run it on the Kaggle benchmarks, which are being used widely in machine learning competitions. The experimental results show that contribution of the proposed compression method, could reduce 61% of the required processing time; meanwhile, application of the compression along with the named parallelization methods could lead to about 95% of improvement. Overall, this research implies that the proposed solution can provide an effective step toward high performance computing. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  4 - High Performance Computing: Next Generation Requirements and Research Axes
  ehsan arianyan MohammadMahdi Esnaashari Fatemeh Ehsani Boshla Shaghayeghsadat Hossieni bayan Masoud Dehyadegari Behnam Samadi
  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth scien More

  Nowadays, increasing the processing power of supercomputers is a worldwide race. This race, signifies the importance of supercomputers in the current era. They are engines of improving technology in almost all scientific areas, such as computational biology, earth sciences, cosmology, fluid dynamics, and plasma modeling, to name a few. Next generation of supercomputers can be divided into two broad categories: 1) emerging technologies such as neuromorphic and quantum computing and 2) Exascala computing. Emerging technologies will be the future of supercomputing, however, not in a very recent future. Therefore, in this paper, we have focused on Exascale computing, and have tried to provide a comprehensive overview of the main requirements for this technology to be achieved and become available. Requirements have been overviewed from different aspects; hardware, software, artificial intelligence, and cloud computing. In addition, we have attempted to provide a complete taxonomy of hot research topics within this area. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  5 - Emerging technologies in future generations of high performance computing: introduction, taxonomy and future research directions
  mahmood nematollahzadeh ehsan arianyan Masoud Hayeri Khyavi niloofar gholipoor abdollah sepahvand
  Due to the rapid growth of science and technology, their need for high performance computing is increasing everyday. So far, the majority of the world's high performance computing needs have been based on conventional silicon-based technologies, but the end of the age o More

  Due to the rapid growth of science and technology, their need for high performance computing is increasing everyday. So far, the majority of the world's high performance computing needs have been based on conventional silicon-based technologies, but the end of the age of silicon-based technologies is near, and this fact has led scientists to use emerging technologies such as quantum computing, bio computing, optical computing and similar technologies. Although some of these technologies are not new and the initial introduction of some of them dates back to some decades ago, but due to the attractiveness of classical silicon-based computing and the speed of development in it, have been neglected to date. However, recently, these technologies have begun to be used to build scalable high performance computers. In this paper, we introduce these technologies and how they participate in the field of high performance computing, their current and future status, and their challenges. Also, the taxonomy related to each of these technologies from the computational point of view as well as their research topics are presented, which can be utilized for future research in this field. Manuscript profile