MO2.L7.2
SFATTI: SPIKING FPGA ACCELERATOR FOR TEMPORAL TASK-DRIVEN INFERENCE - A CASE STUDY ON MNIST
Alessio Caviglia, Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo, Politecnico di Torino, Italy
Session:
MO2.L7: Digit Recognition – Low Power and Speed Challenge Lecture
Track:
Challenge Sessions
Location:
Dena'ina: Tubughnenq 5
Presentation Time:
Mon, 15 Sep, 10:00 - 11:30 Anchorage Time (UTC -8)
Session Chair:
Michael Lunglmayr, Johannes Kepler University
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session MO2.L7
MO2.L7.1: MiNeuron: Minimal Neuron Realization for Fast FPGA SNN Inference Using Logic Optimization
Daniel Windhager, Lothar Ratschbacher, Silicon Austria Labs, Austria; Bernhard A. Moser, Software Competence Center Hagenberg, Austria; Michael Lunglmayr, Johannes Kepler University, Austria
MO2.L7.2: SFATTI: SPIKING FPGA ACCELERATOR FOR TEMPORAL TASK-DRIVEN INFERENCE - A CASE STUDY ON MNIST
Alessio Caviglia, Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo, Politecnico di Torino, Italy
Contacts