Paper: Fast Algorithms for Spiking Neural Network Simulation with FPGAs

PhD candidate Björn's paper on how to reach fast and power-efficient SNN simulation on FPGAs, reaching faster-than-realtime simulation on a well-known cortical microcircuit model while consuming as little as 21 nJ of energy per synaptic event, making our accelerator the most energy efficient for this type of circuit in the world! Check the preprint here!

PhD student Muhammad Ihsan Al Hafiz joins the team. Welcome!

Pedro will work in the EU EXTRA-BRAIN project examining the neuromorphic systems in cloud/edge continuum

Paper: Accelerating Scientific Application through Transparent I/O Interposition

Together with colleagues from Univ. of Edinburgh and RIKEN, we introduce iFast, a new library-level approach to transparently accelerating scientific applications based on MPI-IO. It decouples application I/O, data caching, and data storage to support heterogeneous storage models. Check the preprint here!

EXTRA-BRAIN EU Projects Starts!!

The EU Extra-Brain project will push state-of-the-art in applying brain-inspired (e.g., BCPNN) systems to solve applications in industry. Follow the project: here.

PhD student Pedro Antunes joins the team. Welcome!

Pedro will work in ASAP project examining the reconfigurable systems in space

PhD students Wiktor Sczerek. Welcome!

Wiktor will work on generating neuromorphic hardware using the Syn2Logic DSL.

Paper: Quantifying the effects of copious 3D-stacked cache on HPC workloads

Together with colleagues from RIKEN, Intel, IIT, Chalmers, TiTech, and AIST, we explore what it means for future (A64FX-like) processors to grow vertically. Check the full paper here!

ASAP EU Projects Starts!!

The ASAP project will investigate the use of reconfigurable architectures (FPGAs) for use in future deep-space missions.

PhD student Björn Lindqvist joins the team. Welcome!

Björn will work on accelerating neuroscience applications on FPGAs.