papers

Publications (36)

cs.DC2021

QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning

Dainius Jenkus, Fei Xia, Rishad Shafik +1

Web servers scaled across distributed systems necessitate complex runtime controls for providing quality of service (QoS) guarantees as well as minimizing the energy costs under dy…

cs.AR2024

IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference

Omar Ghazal, Wei Wang, Shahar Kvatinsky +3

The increasing demand for processing large volumes of data for machine learning models has pushed data bandwidth requirements beyond the capability of traditional von Neumann archi…

physics.class-ph2023

Perfect Splitting in Rectangular Waveguide Junctions for Analogue Computing

William Rogers, Christian Johnson-Richards, Alex Yakovlev +1

It has been recently shown how computing operations such as high-speed switching, routing, and solving partial differential equations can be performed by exploiting perfect splitti…

cs.FL2023

Contracting Tsetlin Machine with Absorbing Automata

Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao +4

In this paper, we introduce a sparse Tsetlin Machine (TM) with absorbing Tsetlin Automata (TA) states. In brief, the TA of each clause literal has both an absorbing Exclude- and an…

cs.GT2025

Distributed Places and Safe Net Reduction

Victor Khomenko, Maciej Koutny, Alex Yakovlev

Being able to find small Petri nets with the same behaviour as formal specifications of concurrent systems benefits both effective verification and practical implementation of such…

cs.AR2024

MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications

Tousif Rahman, Gang Mao, Sidharth Maheshwari +2

System-on-Chip Field-Programmable Gate Arrays (SoC-FPGAs) offer significant throughput gains for machine learning (ML) edge inference applications via the design of co-processor ac…