[PDF][PDF] A Survey on Neuromorphic Architectures for Running Artificial Intelligence Algorithms

SAA Wahid, A Asad, F Mohammadi - Electronics, 2024 - preprints.org
Neuromorphic computing, a brain inspired non-Von Neumann computing system, addresses
the challenges posed by the Moore's law memory wall phenomenon. It has the capability to …

CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool

T Andrulis, JS Emer, V Sze - arXiv preprint arXiv:2405.07259, 2024 - arxiv.org
Compute-In-Memory (CiM) is a promising solution to accelerate Deep Neural Networks
(DNNs) as it can avoid energy-intensive DNN weight movement and use memory arrays to …

A Survey on Heterogeneous CPU–GPU Architectures and Simulators

M Alaei, F Yazdanpanah - Concurrency and Computation …, 2024 - Wiley Online Library
Heterogeneous architectures are vastly used in various high performance computing
systems from IoT‐based embedded architectures to edge and cloud systems. Although …

GPU-accelerated extractive multi-document text summarization using decomposition-based multi-objective differential evolution

MHH Wahab, NAWA Hamid, S Subramaniam… - Expert Systems with …, 2024 - Elsevier
Multi-document text summarization is a computationally intensive task, mainly when
employing complex optimization algorithms. The computational demands increase …

Comparing the Performance of the Latest Generation Multi-Threaded and Multi-Core ASICs

K Soumya, N Singh, V Kumar - 2024 International Conference …, 2024 - ieeexplore.ieee.org
this technical summary is an outline of the overall performance contrast between the modern
generations of multi-threaded and multi-core ASICs. In particular, diverse techniques to …