12 papers
Ising Acceleration for Multi-Robot Multi-Target Planning
Ahmet Efe, Recep B. Uludag, Chris H. Kim +1
Ising machines are emerging as promising hardware for combinatorial optimization. With recent advances in CMOS Ising technology, they are becoming attractive as low-power accelerat…
Breaking Local-Minimum Traps in Spiking Neural Network-Based Solvers for CSPs via Parallel Tempering
Recep Bugra Uludag, Ahmet Efe, Ismail Akturk +1
Spiking neural networks (SNNs) with stochastic neurons can solve constraint satisfaction problems (CSPs) by encoding constraints via connectivity and performing probabilistic searc…
Computing In Spintronic Memory: A Thermal Perspective
Patrick Miller, Hüsrev Cilasun, Sachin S. Sapatnekar +1
Computing-in-Memory (CiM) is a promising paradigm to address the memory bottleneck constraining traditional systems. Most power-efficient CiM variants can directly perform Boolean…
Implicitly Parallel Neuromorphic Solver Design for Constraint Satisfaction Problems
Recep Bugra Uludag, Ahmet Efe, Ismail Akturk +1
Many real-life problems of practical importance -- spanning a wide range of applications from chip design to bioinformatics -- represent constraint satisfaction problems, where cla…
Decomposing Large-Scale Ising Problems on FPGAs: A Hybrid Hardware Approach
Ruihong Yin, Yue Zheng, Chaohui Li +6
Emerging analog computing substrates, such as oscillator-based Ising machines, offer rapid convergence times for combinatorial optimization but often suffer from limited scalabilit…
Extractive summarization on a CMOS Ising machine
Ziqing Zeng, Abhimanyu Kumar, Ahmet Efe +4
Extractive summarization (ES) aims to generate a concise summary by selecting a subset of sentences from a document while maximizing relevance and minimizing redundancy. Although m…