Searched for: author%3A%22Bishnoi%2C+R.K.%22
(1 - 19 of 19)
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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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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
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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
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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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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
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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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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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Diware, S.S. (author), Singh, A. (author), Gebregiorgis, A.B. (author), Joshi, Rajiv V. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Computation-in-memory (CIM) paradigm leverages emerging memory technologies such as resistive random access memories (RRAMs) to process the data within the memory itself. This alleviates the memory-processor bottleneck resulting in much higher hardware efficiency compared to von-Neumann architecture-based conventional hardware. Hence, CIM...
journal article 2023
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Diware, S.S. (author), Dash, Sudeshna (author), Gebregiorgis, A.B. (author), Joshi, Rajiv V. (author), Strydis, C. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Timely detection of cardiac arrhythmia characterized by abnormal heartbeats can help in the early diagnosis and treatment of cardiovascular diseases. Wearable healthcare devices typically use neural networks to provide the most convenient way of continuously monitoring heart activity for arrhythmia detection. However, it is challenging to...
journal article 2023
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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
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Aziza, Hassen (author), Zambelli, Cristian (author), Hamdioui, S. (author), Diware, S.S. (author), Bishnoi, R.K. (author), Gebregiorgis, A.B. (author)
Emerging device technologies such as Resistive RAMs (RRAMs) are under investigation by many researchers and semiconductor companies; not only to realize e.g., embedded non-volatile memories, but also to enable energy-efficient computing making use of new data processing paradigms such as computation-in-memory. However, such devices suffer from...
conference paper 2023
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Fieback, M. (author), Cardoso Medeiros, G. (author), Wu, L. (author), Aziza, Hassen (author), Bishnoi, R.K. (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive RAM (RRAM) is a promising technology to replace traditional technologies such as Flash, because of its low energy consumption, CMOS compatibility, and high density. Many companies are prototyping this technology to validate its potential. Bringing this technology to the market requires high-quality tests to ensure customer...
journal article 2022
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Gebregiorgis, A.B. (author), Du Nguyen, H.A. (author), Yu, J. (author), Bishnoi, R.K. (author), Taouil, M. (author), Franky, Catthoor (author), Hamdioui, S. (author)
Faster and cheaper computers have been constantly demanding technological and architectural improvements. However, current technology is suffering from three technology walls: leakage wall, reliability wall, and cost wall. Meanwhile, existing architecture performance is also saturating due to three well-known architecture walls: memory wall,...
journal article 2022
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Singh, A. (author), Fieback, M. (author), Bishnoi, R.K. (author), Bradarić, Filip (author), Gebregiorgis, A.B. (author), Joshi, R.V. (author), Hamdioui, S. (author)
Emerging non-volatile resistive RAM (RRAM) device technology has shown great potential to cultivate not only high-density memory storage, but also energy-efficient computing units. However, the unique challenges related to RRAM fabrication process render the traditional memory testing solutions inefficient and inadequate for high product quality...
conference paper 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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Singh, A. (author), Zahedi, M.Z. (author), Shahroodi, Taha (author), Gupta, Mohit (author), Gebregiorgis, A.B. (author), Komalan, Manu (author), Joshi, R.V. (author), Catthoor, Francky (author), Bishnoi, R.K. (author), Hamdioui, S. (author)
Spin-transfer torque magnetic random access memory (STT-MRAM) based computation-in-memory (CIM) architectures have shown great prospects for an energy-efficient computing. However, device variations and non-idealities narrow down the sensing margin that severely impacts the computing accuracy. In this work, we propose an adaptive referencing...
conference paper 2022
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Singh, A. (author), Bishnoi, R.K. (author), Joshi, Rajiv V. (author), Hamdioui, S. (author)
Resistive random access memory (RRAM) based computation-in-memory (CIM) architectures are attracting a lot of attention due to their potential in performing fast and energy-efficient computing. However, the RRAM variability and non-idealities limit the computing accuracy of such architectures, especially for multi-operand logic operations....
conference paper 2022
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Diware, S.S. (author), Gebregiorgis, A.B. (author), Joshi, Rajiv V. (author), Hamdioui, S. (author), Bishnoi, R.K. (author)
Emerging memristor-based computing has the potential to achieve higher computational efficiency over conventional architectures. Bit-slicing scheme, which represents a single neural weight using multiple memristive devices, is usually introduced in memristor-based neural networks to meet high bit-precision demands. However, the accuracy of such...
conference paper 2021
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Girard, Patrick (author), Cheng, Yuanqing (author), Virazel, Arnaud (author), Zhao, Weisheng (author), Bishnoi, R.K. (author), Tahoori, Mehdi B. (author)
Memories occupy most of the silicon area in nowadays' system-on-chips and contribute to a significant part of system power consumption. Though widely used, nonvolatile Flash memories still suffer from several drawbacks. Magnetic random access memories (MRAMs) have the potential to mitigate most of the Flash shortcomings. Moreover, it is...
review 2020
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