6 citations · 10 across the 7 of their papers we have counts for
7 papers
DTCO of NOR-Type IGZO FeFETs for 3D Heterogeneous AI Memories: A Read-Centric Perspective
Yang Xiang, Zhuo Chen, Nicolò Ronchi +8
InGaZnO (IGZO)-channel FeFETs have attracted notable interest thanks to recent advances in endurance, opening up their application space for read-dominated AI memory tiers. This wo…
LIMO: Low-Power In-Memory-Annealer and Matrix-Multiplication Primitive for Edge Computing
Amod Holla, Sumedh Chatterjee, Sutanu Sen +5
Combinatorial optimization (CO) underpins applications in science and engineering, ranging from logistics to electronic design automation. A classic example is the NP-complete Trav…
SOT-MRAM Bitcell Scaling with BEOL Read Selectors: A DTCO Study
Yang Xiang, Fernando García-Redondo, Arvind Sharma +9
This work explores the cross-node scaling potential of SOT-MRAM for last-level caches (LLCs) under heterogeneous system scaling paradigm. We perform extensive Design-Technology Co-…
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
Preslav Aleksandrov, Meghdad Kurmanji, Fernando Garcia Redondo +7
We introduce the Autoregressive Block-Based Iterative Encoder (AbbIE), a novel recursive generalization of the encoder-only Transformer architecture, which achieves better perplexi…
A Fokker-Planck Solver to Model MTJ Stochasticity
Fernando García-Redondo, Pranay Prabhat, Mudit Bhargava
Magnetic Tunnel Junctions (MTJs) constitute the novel memory element in STT-MRAM, which is ramping to production at major foundries as an eFlash replacement. MTJ switching exhibits…
A Compact Model for Scalable MTJ Simulation
Fernando García-Redondo, Pranay Prabhat, Mudit Bhargava +1
This paper presents a physics-based modeling framework for the analysis and transient simulation of circuits containing Spin-Transfer Torque (STT) Magnetic Tunnel Junction (MTJ) de…
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Fernando García-Redondo, Shidhartha Das, Glen Rosendale
A trend towards energy-efficiency, security and privacy has led to a recent focus on deploying DNNs on microcontrollers. However, limits on compute and memory resources restrict th…