Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-20
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient.
The computational neuroscientists divided the equations into subnets amongst multiple processors for achieving better hardware performance.
On parallel machines for neuronal networks, interprocessor spikes exchange consumes large section of overall simulation time.
In NEURON for communication between processors Message Passing Interface (MPI) is used.
MPI_Allgather collective is exercised for spikes exchange after each interval across distributed memory systems.
The increase in number of processors though results in achieving concurrency and better performance but it inversely affects MPI_Allgather which increases communication time between processors.
This necessitates improving communication methodology to decrease the spikes exchange time over distributed memory systems.
This work has improved MPI_Allgather method using Remote Memory Access (RMA) by moving two-sided communication to one-sided communication, and use of recursive doubling mechanism facilitates achieving efficient communication between the processors in precise steps.
This approach enhanced communication concurrency and has improved overall runtime making NEURON more efficient for simulation of large neuronal network models.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shehzad, Danish& Bozkuş, Zeki. 2016. Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099663
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shehzad, Danish& Bozkuş, Zeki. Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099663
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shehzad, Danish& Bozkuş, Zeki. Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099663
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099663
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر