Searched for: subject%253A%2522memristor%2522
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Shahroodi, T. (author)
Modern applications like Genomics and Machine Learning (ML) hold the potential to reshape our understanding of diseases’ genetic origins and guide machines in executing tasks and making predictions without our explicit programming. The successful, widespread integration of these modern applications can usher in advancements in di-agnostics,...
doctoral thesis 2024
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Diware, S.S. (author), Chilakala, Koteswararao (author), Joshi, Rajiv V. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Diabetic retinopathy (DR) is a leading cause of permanent vision loss worldwide. It refers to irreversible retinal damage caused due to elevated glucose levels and blood pressure. Regular screening for DR can facilitate its early detection and timely treatment. Neural network-based DR classifiers can be leveraged to achieve such screening in...
journal article 2024
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Zahedi, M.Z. (author)
Computation-in-Memory (CIM) is a promising alternative to traditional computing systems where the storage is conceptually separated fromthe computing units. Instead, the CIM paradigm aims to perform the computation where the data resides, alleviating the memory bottleneck and ultimately leading to higher energy efficiency and performance. From...
doctoral thesis 2023
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Abunahla, H.N. (author)
contribution to periodical 2023
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AbuHamra, Nada (author), Abunahla, H.N. (author), Ali, Ashraf (author), Waheed, Waqas (author), Mahmoud, Saleh T. (author), AlAzzam, Anas (author), Mohammed, Baker (author)
In recent years, there has been a growing interest in investigating the potential of emerging memristor (MR) devices for gas sensing applications, particularly at room temperature. This article reports on a planar Au/reduced graphene oxide (rGO)/Au memristive hydrogen sensor, fabricated on a cost-effective cyclic olefin copolymer (COC)...
journal article 2023
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Zahedi, M.Z. (author), Shahroodi, T. (author), Wong, J.S.S.M. (author), Hamdioui, S. (author)
The vast potential of memristor-based computation-in-memory (CIM) engines has mainly triggered the mapping of best-suited applications. Nevertheless, with additional support, existing applications can also benefit from CIM. In particular, this paper proposes an energy and area-efficient CIM-based methodology to perform arithmetic signed...
journal article 2023
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Gomony, Manil Dev (author), de Putter, Floran (author), Gebregiorgis, A.B. (author), Paulin, Gianna (author), Mei, Linyan (author), Jain, Vikram (author), Hamdioui, S. (author), Bishnoi, R.K. (author), Sanchez, Victor (author)
With the rise of deep learning (DL), our world braces for artificial intelligence (AI) in every edge device, creating an urgent need for edge-AI SoCs. This SoC hardware needs to support high throughput, reliable and secure AI processing at ultra-low power (ULP), with a very short time to market. With its strong legacy in edge solutions and open...
conference paper 2023
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Zahedi, M.Z. (author), Custers, Geert (author), Shahroodi, Taha (author), Gaydadjiev, G. (author), Wong, J.S.S.M. (author), Hamdioui, S. (author)
Performing analysis on large graph datasets in an energy-efficient manner has posed a significant challenge; not only due to excessive data movements and poor locality, but also due to the non-optimal use of high sparsity of such datasets. The latter leads to a waste of resources as the computation is also performed on zero's operands which do...
conference paper 2023
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Escuin, Carlos (author), García-Redondo, Fernando (author), Zahedi, M.Z. (author), Ibáñez, Pablo (author), Monreal, Teresa (author), Viñals, Victor (author), Llabería, José María (author), Myers, James (author), Ryckaert, Julien (author), Biswas, Dwaipayan (author), Catthoor, Francky (author)
This paper optimizes the MNEMOSENE architecture, a compute-in-memory (CiM) tile design integrating computation and storage for increased efficiency. We identify and address bottlenecks in the Row Data (RD) buffer that cause losses in performance. Our proposed approach includes mitigating these buffering bottlenecks and extending MNEMOSENE’s...
conference paper 2023
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Gomony, Manil Dev (author), Gebregiorgis, A.B. (author), Fieback, M. (author), Geilen, Marc (author), Stuijk, Sander (author), Richter-Brockmann, Jan (author), Bishnoi, R.K. (author), Taouil, M. (author), Hamdioui, S. (author)
This paper addresses one of the directions of the HORIZON EU CONVOLVE project being dependability of smart edge processors based on computation-in-memory and emerging memristor devices such as RRAM. It discusses how how this alternative computing paradigm will change the way we used to do manufacturing test. In addition, it describes how these...
conference paper 2023
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Siddiqi, M.A. (author), Hernández, Jan Andrés Galvan (author), Gebregiorgis, A.B. (author), Bishnoi, R.K. (author), Strydis, C. (author), Hamdioui, S. (author), Taouil, M. (author)
Next-generation personalized healthcare devices are undergoing extreme miniaturization in order to improve user acceptability. However, such developments make it difficult to incorporate cryptographic primitives using available target tech-nologies since these algorithms are notorious for their energy consumption. Besides, strengthening these...
conference paper 2023
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Buis, Jan Maarten (author)
Renewed interest in memory technologies such as memristors and ferroelectric devices can provide opportunities for traditional and non-traditional computing systems alike. To make versatile, reprogrammable AI hardware possible, neuromorphic systems are in need of a low-power, non-volatile and analog memory solution to store the weights of the...
master thesis 2022
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Gebregiorgis, A.B. (author), Singh, A. (author), Diware, S.S. (author), Bishnoi, R.K. (author), Hamdioui, S. (author)
Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementation of arithmetic and logic operations for numerous applications, such as neuromorphic computing and database query. However, memristor-based CIM suffers from various non-idealities such as conductance drift, read disturb, wire parasitics,...
conference paper 2022
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Zahedi, M.Z. (author), Abu Lebdeh, M.F.M. (author), Bengel, Christopher (author), Wouters, Dirk (author), Menzel, Stephan (author), Le Gallo, Manuel (author), Sebastian, Abu (author), Wong, J.S.S.M. (author), Hamdioui, S. (author)
In recent years, we are witnessing a trend toward in-memory computing for future generations of computers that differs from traditional von-Neumann architecture in which there is a clear distinction between computing and memory units. Considering that data movements between the central processing unit (CPU) and memory consume several orders...
journal article 2022
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Yu, J. (author), Nane, R. (author), Ashraf, I. (author), Taouil, M. (author), Hamdioui, S. (author), Corporaal, Henk (author), Bertels, K.L.M. (author)
Memristor-based Computation-in-Memory (CIM) is one of the emerging architectures for next-generation Big Data problems. Its design requires a radically new synthesis flow as the memristor is a passive device that uses resistances to encode its logic values. This article proposes a synthesis flow for mapping parallel applications on memristor...
journal article 2020
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Abhairaj Singh, Abhairaj (author)
Modern computing systems suffer due to inability of CMOS-device technology and conventional Von-Neumann architectures to support today's ever-increasing demand of high performance, reliability, cost and energy-efficiency. While CMOS device suffers from high static leakage, reduced reliability and manufacturing complexity; conventional computing...
master thesis 2019
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Xie, L. (author)
Memristive device or memristor is a promising emerging technology due to its good scalability, near-zero standby power consumption, high integration density, and CMOS fabrication compatibility. Several potential applications based on memristor technology have been proposed, such as non-volatile memories, neuromorphic systems, and resistive...
doctoral thesis 2018
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Xie, L. (author), Du Nguyen, H.A. (author), Taouil, M. (author), Hamdioui, S. (author), Bertels, K.L.M. (author)
Alternatives to CMOS logic circuit implementations are under research for future scaled electronics. Memristor crossbar-based logic circuit is one of the promising candidates to at least partially replace CMOS technology, which is facing many challenges such as reduced scalability, reliability, and performance gain. Memristor crossbar offers...
journal article 2018
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Yu, J. (author), Du Nguyen, H.A. (author), Xie, L. (author), Taouil, M. (author), Hamdioui, S. (author)
CMOS technology and its continuous scaling have made electronics and computers accessible and affordable for almost everyone on the globe; in addition, they have enabled the solutions of a wide range of societal problems and applications. Today, however, both the technology and the computer architectures are facing severe challenges/walls making...
conference paper 2018
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Hogervorst, T.A. (author)
The memory-wall problem is a big challenge that classical Von Neumann-based computer systems face. This problem is caused by the increasing performance gap between the main memory and the central processing unit. The novel Computation-in-Memory (CiM) architecture can solve the memory wall problem by using emerging memristor technology to perform...
master thesis 2017
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