Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Deficiency One Parallelisms of PG(5, 2)
A spread in PG(n, q) is a set of lines such that each point is in exactly one line. A parallelism is a partition of the set of lines of PG(n, q) to spreads. A deficiency one parallelism is a parallelism with exactly one missing spread.
Svetlana Topalova, Stela Zhelezova
doaj +1 more source
Automatically Tuning Parallel and Parallelized Programs [PDF]
In today's multicore era, parallelization of serial code is essential in order to exploit the architectures' performance potential. Parallelization, especially of legacy code, however, proves to be a challenge as manual efforts must either be directed towards algorithmic modifications or towards analysis of computationally intensive sections of code ...
Dave, Chirag, Eigenmann, Rudolf
openaire +3 more sources
A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation
A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu +6 more
wiley +1 more source
Iterative Reconstruction of Micro Computed Tomography Scans Using Multiple Heterogeneous GPUs
Graphics processing units (GPUs) facilitate massive parallelism and high-capacity storage, and thus are suitable for the iterative reconstruction of ultrahigh-resolution micro computed tomography (CT) scans by on-the-fly system matrix (OTFSM) calculation
Wen-Hsiang Chou +3 more
doaj +1 more source
Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays
2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park +7 more
wiley +1 more source
Parallel algorithms for series parallel graphs [PDF]
In this paper, a parallel algorithm is given that, given a graph G=(V, E), decides whether G is a series parallel graph, and if so, builds a decomposition tree for G of series and parallel composition rules. The algorithm uses O(log¦E¦log*¦E¦) time and O(¦E¦) operations on an EREW PRAM, andO(log¦E¦) time and O(¦E¦) operations on a CRCW PRAM (note that ...
Hans L. Bodlaender, Babette de Fluiter
openaire +4 more sources
A Modular Variable Stiffness Co‐Bot System Achieving Tasks Flexibility and Contact Compliance
Bio‐inspired antagonistic compliance enables a modular rigid‐soft co‐bot platform with variable stiffness for safe human‐robot interaction (HRI): Standardized interfaces support application‐driven configurations with tailored DoFs, workspace, and stiffness range, making the system suited to HRI and low‐volume automation.
Wenlong Gaozhang +6 more
wiley +1 more source

