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Improving OpenCL programmability with the Heterogeneous Programming Library
(Elsevier Science Bv, 2015)
The use of heterogeneous devices is becoming increasingly widespread. Their main drawback is their low programmability due to the large amount of details that must be handled. Another important problem is the reduced code ...
Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems
(Hindawi Ltd, 2016)
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 ...
Accelerating Brain Simulations on Graphical Processing Units
(IEEE, 2015)
NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work we present a CUDA(R) implementation of NEST. We were able to gain a speedup of factor 20 for the computational ...
Exploiting heterogeneous parallelism with the Heterogeneous Programming Library
(Academic Press Inc Elsevier Science, 2013)
While recognition of the advantages of heterogeneous computing is steadily growing the issues of programmability and portability hinder its exploitation. The introduction of the OpenCL standard was a major step forward in ...
Developing adaptive multi-device applications with the Heterogeneous Programming Library
(Springer, 2015)
The usage of heterogeneous devices presents two main problems. One is their complex programming a problem that grows when multiple devices are used. The second issue is that even if the codes for these devices can be ...
Big Data Platform Development with a Domain Specific Language for Telecom Industries
(IEEE, 2013)
This paper introduces a system that offer a special big data analysis platform with Domain Specific Language for telecom industries. This platform has three main parts that suggests a new kind of domain specific system for ...
A portable high-productivity approach to program heterogeneous systems
(IEEE, 2012)
The exploitation of heterogeneous resources is becoming increasingly important for general purpose computing. Unfortunately heterogeneous systems require much more effort to be programmed than the traditional single or ...
Optimizing NEURON Brain Simulator With Remote Memory Access On Distributed Memory Systems
(Institute of Electrical and Electronics Engineers Inc., 2016)
The Complex neuronal network models require support from simulation environment for efficient network simulations. To compute the models increasing complexity necessitated the efforts to parallelize the NEURON simulation ...