EDEN: A high-performance, general-purpose, NeuroML-based neural simulator

no code implementations • 12 Jun 2021 • Sotirios Panagiotou, Harry Sidiropoulos, Mario Negrello, Dimitrios Soudris, Christos Strydis

In this work, we present EDEN (Extensible Dynamics Engine for Networks), a new general-purpose, NeuroML-based neural simulator that achieves both high model flexibility and high computational performance, through an innovative model-analysis and code-generation technique.

Code Generation Neural Network simulation +1

BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations

no code implementations • 5 Dec 2016 • Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja, Harry Sidiropoulos, Dimitrios Rodopoulos, Ioannis Sourdis, Zaid Al-Ars, Christoforos Kachris, Dimitrios Soudris, Chris I. De Zeeuw, Christos Strydis

Approach: In this paper we propose and build BrainFrame, a heterogeneous acceleration platform, incorporating three distinct acceleration technologies, a Dataflow Engine, a Xeon Phi and a GP-GPU.