User profiles for Fabio Carta
 | Fabio CartaIBM - Research Staff Member Verified email at us.ibm.com Cited by 963 |
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
We introduce the IBM ANALOG HARDWARE ACCELERATION KIT, a new and first of a kind
open source toolkit to simulate analog crossbar arrays in a convenient fashion from within …
open source toolkit to simulate analog crossbar arrays in a convenient fashion from within …
Low-voltage organic electronics based on a gate-tunable injection barrier in vertical graphene-organic semiconductor heterostructures
The vertical integration of graphene with inorganic semiconductors, oxide semiconductors,
and newly emerging layered materials has recently been demonstrated as a promising route …
and newly emerging layered materials has recently been demonstrated as a promising route …
3D cross-point phase-change memory for storage-class memory
We survey progress in the 3D cross-point phase-change memory (PCM) field over recent
years, starting from the choice of 3D-capable access devices to candidate Ovonic threshold …
years, starting from the choice of 3D-capable access devices to candidate Ovonic threshold …
ALD-based confined PCM with a metallic liner toward unlimited endurance
We present for the first time in-depth analysis of the outstanding endurance characteristics
of an ALD-based confined phase change memory (PCM) [1] with a thin metallic liner. …
of an ALD-based confined phase change memory (PCM) [1] with a thin metallic liner. …
[HTML][HTML] Using the IBM analog in-memory hardware acceleration kit for neural network training and inference
Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and
energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy …
energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy …
Confined PCM-based analog synaptic devices offering low resistance-drift and 1000 programmable states for deep learning
We have demonstrated, for the first time, a combination of outstanding linearity of analog
programming with matched PCM pairs, small analog programming noise, an extremely low …
programming with matched PCM pairs, small analog programming noise, an extremely low …
Analog resistive switching devices for training deep neural networks with the novel tiki-taka algorithm
A critical bottleneck for the training of large neural networks (NNs) is communication with off-chip
memory. A promising mitigation effort consists of integrating crossbar arrays of …
memory. A promising mitigation effort consists of integrating crossbar arrays of …
An ultra high endurance and thermally stable selector based on TeAsGeSiSe chalcogenides compatible with BEOL IC Integration for cross-point PCM
…, Y Zhu, JL Jordan-Sweet, A Ray, F Carta… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
We present the results of a primary study on an OTS chalcogenide material system (TeAsGeSi)
that incorporates Se and an extra dopant. V th and I OFF are trade-off parameters that …
that incorporates Se and an extra dopant. V th and I OFF are trade-off parameters that …
Fast and robust analog in-memory deep neural network training
Analog in-memory computing is a promising future technology for efficiently accelerating
deep learning networks. While using in-memory computing to accelerate the inference phase …
deep learning networks. While using in-memory computing to accelerate the inference phase …
Damage tolerance analysis of aircraft reinforced panels
F Carta, A Pirondi - Fracture and Structural Integrity, 2011 - fracturae.com
This work is aimed at reproducing numerically a campaign of experimental tests performed
for the development of reinforced panels, typically found in aircraft fuselage. The bonded …
for the development of reinforced panels, typically found in aircraft fuselage. The bonded …