Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2022
- MRS Fall Meeting 2022
Talk
Publications
301 results for AI Hardware
Deep learning inference and training using computational phase-change memory
- 2022
- MRS Fall Meeting 2022
TutorialNeuralFuse: Improving the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2022
- NeurIPS 2022
Workshop paperElectrothermal modeling of projected mushroom-type phase-change memory cells
- Timothy Philip
- Ching-Tzu Chen
- et al.
- 2022
- ANS 2022
Conference paperApproximating Relu Networks by Single-Spike Computation
- Ana Stanojevic
- Evangelos Eleftheriou
- et al.
- 2022
- ICIP 2022
Conference paperIn-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
- G. Karunaratne
- M. Hersche
- et al.
- 2022
- ESSDERC/ESSCIRC 2022
Conference paperTowards Scaling Difference Target Propagation by Learning Backprop Targets
- Maxence Ernoult
- Fabrice Normandin
- et al.
- 2022
- ICML 2022
Conference paperOmpSs@cloudFPGA: An FPGA Task-Based Programming Model with Message Passing
- Juan Miguel De Haro
- Rubén Cano
- et al.
- 2022
- IPDPS 2022
Conference paperFilamentary TaOx/HfO2 ReRAM Devices for Neural Networks Training with Analog In-Memory Computing
- Tommaso Stecconi
- Roberto Guido
- et al.
- 2022
- Advanced Electronic Materials
PaperOptimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
Paper