Georgios Smaragdos
13 records found
1
Authored
FlexHH
A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations
The Hodgkin-Huxley (HH) neuron is one of the most biophysically-meaningful models used in computational neuroscience today. Ironically, the model's high experimental value is offset by its disproportional computational complexity. To such an extent that neuroscientists have ei ...
This work proposes a hardware performance-oriented design methodology aimed at generating efficient high-level synthesis (HLS) coded data multiprocessing on a heterogeneous platform. The methodology is tested on typical neuroscientific complex application: the biologically acc ...
In-silico brain simulations are the de-facto tools computational neuroscientists use to understand large-scale and complex brain-function dynamics. Current brain simulators do not scale efficiently enough to large-scale problem sizes (e.g., >100,000 neurons) when simulating ...
BrainFrame
A node-level heterogeneous accelerator platform for neuron simulations
Objective. The advent of high-performance computing (HPC) in recent years has led to its increasing use in brain studies through computational models. The scale and complexity of such models are constantly increasing, leading to challenging computational requirements. Even tho ...
mCluster
A Software Framework for Portable Device-based Volunteer Computing
This article presents a chip multiprocessor (CMP) design that mixes coarse- and fine-grained reconfigurability to increase core availability of safety-critical embedded systems in the presence of hard errors. The authors conducted a comprehensive design-space exploration to id ...
Recent trends in semiconductor technology have dictated the constant reduction of device size. One negative effect stemming from the reduction in size and increased complexity is the reduced device reliability. This paper is centered around the matter of permanent fault tolera ...
DeSyRe
On-demand adaptive and reconfigurable fault-tolerant SoCs
The DeSyRe project builds on-demand adaptive, reliable Systems-on-Chips. In response to the current semiconductor technology trends thatmake chips becoming less reliable, DeSyRe describes a newgeneration of by design reliable systems, at a reduced power and performance cost. T ...