Searched for: author%3A%22Hamdioui%2C+S.%22
(1 - 20 of 146)

Pages

document
Copetti, T. S. (author), Fieback, M. (author), Gemmeke, T. (author), Hamdioui, S. (author), Poehls, L. M.Bolzani (author)
Memristive devices have become promising candidates to complement the CMOS technology, due to their CMOS manufacturing process compatibility, zero standby power consumption, high scalability, as well as their capability to implement high-density memories and new computing paradigms. Despite these advantages, memristive devices are susceptible...
journal article 2024
document
Xu, Yingfu (author), Shidqi, Kevin (author), van Schaik, Gert-Jan (author), Bilgic, Refik (author), Dobrita, Alexandra (author), Wang, Shenqi (author), Gebregiorgis, A.B. (author), Hamdioui, S. (author), Yousefzadeh, Amirreza (author)
Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still struggle to rival conventional deep learning accelerators' performance and area efficiency in practical applications. Event-driven data-flow processing and near/in-memory...
journal article 2024
document
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
document
Yaldagard, Mohammad Amin (author), Diware, S.S. (author), Joshi, R.V. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Resistive random access memory (RRAM) based computation-in-memory (CIM) architectures can meet the unprecedented energy efficiency requirements to execute AI algorithms directly on edge devices. However, the read-disturb problem associated with these architectures can lead to accumulated computational errors. To achieve the necessary level of...
conference paper 2023
document
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
document
Abunahla, H.N. (author), Abbas, Yawar (author), Gebregiorgis, A.B. (author), Waheed, Waqas (author), Mohammad, Baker (author), Hamdioui, S. (author), Alazzam, Anas (author), Rezeq, Moh’d (author)
Advances in materials science and memory devices work in tandem for the evolution of Artificial Intelligence systems. Energy-efficient computation is the ultimate goal of emerging memristor technology, in which the storage and computation can be done in the same memory crossbar. In this work, an analog memristor device is fabricated utilizing...
journal article 2023
document
Yuan, S. (author), Zhang, Z. (author), Fieback, M. (author), Xun, H. (author), Marinissen, E. J. (author), Kar, G. S. (author), Rao, S. (author), Couet, S. (author), Taouil, M. (author), Hamdioui, S. (author)
The development of Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) mass production requires high-quality test solutions. Accurate and appropriate fault modeling is crucial for the realization of such solutions. This paper targets fault modeling and test generation for all interconnect and contact defects in STT-MRAMs and shows that using the...
conference paper 2023
document
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
document
Shahroodi, Taha (author), Cardoso, Rafaela (author), Zahedi, M.Z. (author), Wong, J.S.S.M. (author), Bosio, Alberto (author), O'Connor, Ian (author), Hamdioui, S. (author)
This paper investigates the potential of a compute-in-memory core based on optical Phase Change Materials (oPCMs) to speed up and reduce the energy consumption of the Matrix-Matrix-Multiplication operation. The paper also proposes a new data mapping for Binary Neural Networks (BNNs) tailored for our oPCM core. The preliminary results show a...
conference paper 2023
document
Köylü, T.C. (author), Reinbrecht, Cezar (author), Gebregiorgis, A.B. (author), Hamdioui, S. (author), Taouil, M. (author)
Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in other domains. This survey, as one of the early attempts, presents the usage of machine...
journal article 2023
document
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
document
Yuan, S. (author), Taouil, M. (author), Fieback, M. (author), Xun, H. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Rao, Sidharth (author), Couet, Sebastien (author), Hamdioui, S. (author)
The development of Spin-transfer torque magnetic RAM (STT-MRAM) mass production requires high-quality dedicated test solutions, for which understanding and modeling of manufacturing defects of the magnetic tunnel junction (MTJ) is crucial. This paper introduces and characterizes a new defect called Back-Hopping (BH); it also provides its...
conference paper 2023
document
Xun, H. (author), Fieback, M. (author), Yuan, S. (author), Zhang, Ziwei (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive Random Access Memory (RRAM) is a potential technology to replace conventional memories by providing low power consumption and high-density storage. As various manufacturing vendors make significant efforts to push it to high-volume production and commercialization, high-quality and efficient test solutions are of great importance. This...
conference paper 2023
document
Fieback, M. (author), Bradarić, Filip (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive Random Access Memory (RRAM, or ReRAM) is a promising memory technology to replace Flash because of its low power consumption, high storage density, and simple integration in existing IC production processes. This has motivated many companies to invest in this technology. However, RRAM manufacturing introduces new failure mechanisms and...
conference paper 2023
document
Singh, A. (author), Bishnoi, R.K. (author), Kaichouhi, A. (author), Diware, S.S. (author), Joshi, R.V. (author), Hamdioui, S. (author)
Analog computation-in-memory (CIM) architecture alleviates massive data movement between the memory and the processor, thus promising great prospects to accelerate certain computational tasks in an energy-efficient manner. However, data converters involved in these architectures typically achieve the required computing accuracy at the expense...
conference paper 2023
document
Diware, S.S. (author), Gebregiorgis, A.B. (author), Joshi, R.V. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Memristor-based computation-in-memory (CIM) can achieve high energy efficiency by processing the data within the memory, which makes it well-suited for applications like neural networks. However, memristors suffer from conductance variation problem where their programmed conductance values deviate from the desired values. Such variations lead...
conference paper 2023
document
Ghasempouri, Tara (author), Raik, Jaan (author), Reinbrecht, Cezar (author), Hamdioui, S. (author), Taouil, M. (author)
According to the World Economic Forum, cyberattacks are considered as one of the most important sources of risk to companies and institutions worldwide. Attacks can target the network, software, and/or hardware. Over the years, much knowledge has been developed to understand and mitigate cyberattacks. However, new threats have appeared in...
journal article 2023
document
Mahmoud, A.N.N. (author), Ciubotaru, Florin (author), Vanderveken, Frederic (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)
Spin Waves (SWs), by their nature, are excited by means of voltage driven or current driven cells under two modes: Continuous Mode Operation (CMO), and Pulse Mode Operation (PMO). Moreover, the low throughput of the SW technology (caused by its high latency) can be enhanced by wavepipelining which is supported inherently by the SW under the...
journal article 2023
document
Bishnoi, R.K. (author), Diware, S.S. (author), Gebregiorgis, A.B. (author), Thomann, Simon (author), Mannaa, Sara (author), Deveautour, Bastien (author), Marchand, Cedric (author), Bosio, Alberto (author), Deleruyelle, Damien (author), O'Connor, Ian (author), Amrouch, Hussam (author), Hamdioui, S. (author)
Deep Learning (DL) has recently led to remark-able advancements, however, it faces severe computation related challenges. Existing Von-Neumann-based solutions are dealing with issues such as memory bandwidth limitations and energy inefficiency. Computation-In-Memory (CIM) has the potential to address this problem by integrating processing...
conference paper 2023
document
Aouichi, A. (author), Yuan, S. (author), Fieback, M. (author), Rao, Siddharth (author), Kim, Woojin (author), Marinissen, Erik Jan (author), Couet, Sebastien (author), Taouil, M. (author), Hamdioui, S. (author)
Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) are on their way to commercialization. However, obtaining high-quality test and diagnosis solutions for STT-MRAMs is challenging due to the existence of unique defects in Magnetic Tunneling Junctions (MTJs). Recently, the Device-Aware Test (DA-Test) method has been put forward as an effective...
conference paper 2023
Searched for: author%3A%22Hamdioui%2C+S.%22
(1 - 20 of 146)

Pages